cloud hardware dev engineer (aws generative ai & ml servers), aws generative ai & ml servers

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cloud hardware dev engineer (aws generative ai & ml servers), aws generative ai & ml servers Jobs in Seattle

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senior business intelligence engineer, amazon customer service Jobs in Seattle

software development engineer aws config

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AWS Security SecDevOps is a team of world-class software development engineers responsible for shaping the future of internal security tooling within AWS Security. We build technologies at scale to help keep AWS and our customers secure. As a software development engineer on this team you will leverage modern technologies and AWS services to empower AWS security response engineers to be more productive.<br>
<br>
You are a software developer who likes to lead and deliver software solutions that solve business problems and delight your customers with efficiency and productivity gains. You&rsquo;ve got development experience with technologies like AWS, Java, TypeScript, React, Python, and SQL, though you don't need experience with all of those to start. You might be a front end developer, a back end developer, or a full stack engineer. If you have some background in security that is helpful, but not required.<br>
<br>
We are the AWS SecDevOps team. We build APIs, websites, and tools for AWS Security Operations including a Security Orchestration, Automation, and Response (SOAR) platform. Our team tackles the most challenging internal development efforts within AWS Security - the ones which require scale, availability, and integration with numerous other services and tools. To help delight our customers we incorporate real-time collaboration features and use purpose-built databases, while maintaining close contact with our customers throughout the development process.<br>
<br>
Key job responsibilities<br>
Own team-level architecture and design guidance for security response systems, ensuring solutions are reliable, secure, extensible, and simple.<br>
<br>
Lead projects requiring the coordinated work of multiple engineers, taking accountability for the design even when you don't author every component, maintaining a high security bar.<br>
<br>
Take business problems where the technology strategy is undefined and drive clarity, making sound trade-offs between short-term delivery and long-term maintainability.<br>
<br>
A day in the life<br>
You review the operational health of large-scale detection and response systems, ensuring security coverage across all AWS accounts and addressing any service degradation rapidly.<br>
<br>
You make architectural decisions and review technical designs, ensuring your systems meet the reliability and scalability bar required for security-critical infrastructure.<br>
<br>
You meet with customers and other team members to work backwards and understand the pain points so that you can solve for rapid, efficient response issues.<br>
You mentor others, helping to grow their skills, achieve successes through delivery and hold a high operational bar.
<br>
<br>
About the team<br>
Diverse Experiences<br>
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why Amazon Security?<br>
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon&rsquo;s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<br>
<br>
Inclusive Team Culture<br>
In Amazon Security, it&rsquo;s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br>
<br>
Training &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers</li><li>Experience building highly available software with AWS services and distributed architecture.</li><li>Experience working with React, TypeScript, building services with Java, Python and integrating with multiple systems.</li><li>Experience or familiarity with building scalable systems that integrate Generative AI technologies</li><li>Experience in security operations or related domains</li><li>Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer, AWS SecDevOps

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Come shape the future with us! As a major cloud provider, our technology powers many of the world's largest organizations. We are building an exciting Generative AI application that will transform how enterprises operate.<br>
<br>
You will have the exciting opportunity to be on the ground floor of developing this exciting product. We are seeking creative problem-solvers who are energized by tackling complex technical challenges to push the boundaries of what's possible with AI. Our team collaborates closely across roles to rapidly build, test and iterate as we create an AI solution that delivers real business value. Join our innovative team to leave your mark on the next generation of AI. This is an exciting role, with high visibility and high impact, leading several customer facing initiatives under the Amazon Quick organization. The ideal candidate will have a strong technical background in front-end development, excellent leadership skills, and a passion for delivering high-quality user experiences.
<br>
<br>
Key job responsibilities<br>
As a lead software development engineer on the Amazon Quick team, you will design and develop features for the Amazon Quick product. You will work with senior scientists and engineers within Amazon AI and develop high quality software that is robust and reliable.<br>
<br>
You will be responsible for<br>
<ul><li>Deciding what features and performance improvements to build</li><li>Driving software engineering best practices</li><li>Designing distributed and scalable systems</li><li>Providing technical leadership and contribute to the definition, development, integration, test, documentation, and support new AI Services</li><li>Instill best practices for software development and documentation, making sure designs meet requirements, and delivering high quality software on tight schedules</li></ul><br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer, Amazon Quick

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads.<br>
<br>
Utility Computing (UC)<br>
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Key job responsibilities<br>
As a Cloud Hardware Development Engineer on the AWS Generative AI &amp; ML Servers team, you will partner with EC2 to define server architectures based on workload demand and customer requirements. You will translate these architectures into detailed supporting designs and component specifications that enable high-performance AI training and inference at scale.<br>
You will define and drive validation strategies from PCBA bring-up through server and rack integration, ensuring designs meet performance, thermal, mechanical, power, and signal integrity requirements. Working with interdisciplinary teams of component, firmware, test, qualification, and integration engineers, you will lead design and manufacturing partners through development and production.<br>
You will be responsible for triaging hardware issues at both ODM facilities and datacenters, conducting root cause analysis, and implementing corrective actions. After launch, you will oversee the fleet of servers you develop, monitoring quality metrics and ensuring they meet customer requirements while identifying opportunities for continuous improvement.<br>
<br>
A day in the life<br>
Your day to day responsibilities will include interfacing with internal customers to understand project requirements and facilitate system development. You will work directly with EC2 teams to align on architecture decisions and translate workload requirements into technical specifications. You will be responsible for learning operational challenges in the existing fleet with the goal of improving customer experience and developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale, driving design reviews, resolving technical issues, and ensuring quality throughout the development lifecycle.<br>
<br>
About the team<br>
The team is comprise of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best Accelerated Server fleet possible to our customers.<br>
<br>
*Why AWS*<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
*Diverse Experiences*<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
*Work/Life Balance*<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
*Inclusive Team Culture*<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
*Mentorship and Career Growth*<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent</li><li>2+ years of hardware design, development and validation experience for server or compute platforms</li><li>Experience in one or more server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems</li><li>Experience developing functional specifications, design verification plans, and validation test procedures</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Electrical Engineering, Computer Engineering, or a related field</li><li>2+ years of experience working with ODMs through product development and manufacturing lifecycle</li><li>Experience in high-speed bus design, signal integrity, or power delivery for server/compute platforms</li><li>2+ years experience working with hardware bring-up, debug, or validation of GPU/accelerator platforms</li><li>Familiarity with PCIe topology, NVMe, and accelerator interconnects</li><li>Experience developing and executing test procedures for electrical or mechanical systems</li><li>Experience working in large-scale datacenter or cloud environments</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually<br>
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Annapurna Labs team at Amazon builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon&rsquo;s custom machine learning accelerators, Inferentia and Trainium.<br>
<br>
The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance.<br>
<br>
The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration.<br>
<br>
As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology<br>
<br>
You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers.<br>
<br>
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have.<br>
<br>
You can learn more about Neuron<br>
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html<br>
https://aws.amazon.com/machine-learning/neuron/<br>
https://github.com/aws/aws-neuron-sdk<br>
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success<br>
<br>
Key job responsibilities<br>
This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:<br>
<br>
<ul><li>Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.</li><li>Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.</li><li>Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.</li><li>Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models</li><li>Analyze and optimize system-level performance across multiple generations of Neuron hardware</li><li>Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks</li><li>Implement optimizations such as fusion, sharding, tiling, and scheduling</li><li>Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.</li><li>Work directly with customers to enable and optimize their ML models on AWS accelerators</li><li>Collaborate across teams to develop innovative optimization techniques</li></ul><br>
A day in the life<br>
You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects.<br>
<br>
You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you&rsquo;re always working on the most important initiative.<br>
<br>
About the team<br>
The Inference Enablement and Acceleration team fosters a builder&rsquo;s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li><li>Software development experience in C++, Python (experience in at least one language is required).</li><li>Strong understanding of system performance, memory management, and parallel computing principles.</li><li>Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Familiarity with PyTorch, JIT compilation, and AOT tracing.</li><li>Familiarity with CUDA kernels or equivalent ML or low-level kernels.</li><li>Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.</li><li>Familiar with syntax and tile-level semantics similar to Triton.</li><li>Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.</li><li>Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Engineer II - AI/ML, AWS Neuron

<div><div><div><div><div><div><div>Job description
 </div><div></div><p>Company and benefits</p>
</div></div></div><div><div><div><div><div>Job ID</div>
<div>SOFTW019989</div>
</div><div><div>Employment Type</div>
<div>Regular</div>
</div><div><div>Work Style</div>
<div>hybrid</div>
</div><div><div>Location</div>
<div>Seattle,WA,United States</div>
</div><div><div>Role</div>
<div>Software Engineer III (Agentic AI)</div>
</div></div><div><div><p><b>Why UKG:
</b></p><p>At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That&rsquo;s what we do.</p>
<p>We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you&rsquo;ll get flexibility that&rsquo;s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters&mdash;and so do you.<br>
 <br>
<br>
</p><p>***UKG is unable to offer sponsorship for this position.***</p>
<p><b>Software Engineer III &ndash; Agentic Acceleration Group</b></p>
<p>We are looking for a Software Engineer III to join our Agentic Acceleration Group and help build and scale agentic AI capabilities on Google&rsquo;s Agent Development Kit (ADK) and other enterprise agentic platforms. This role provides an opportunity to contribute to cutting-edge agentic AI systems, intelligent automation workflows, and impactful software solutions used by enterprises and users worldwide. As a Software Engineer III, you will own the development of agent-powered features and projects, contribute to technical design decisions, and help establish modern agent development practices. You will be responsible for the design, development, testing, deployment, and maintenance of complex agentic systems built on established AI platforms, working collaboratively with product, architecture, and engineering partners.</p>
<p><b>Responsibilities</b></p>
<ul><li><b>Agent Development:</b> Design, build, test, and deploy production-grade AI agents using Google ADK and other agentic platforms such as the Anthropic Claude SDK and LangGraph. Write clean, maintainable, and efficient code for agent workflows, tool integrations, and multi-agent orchestration.</li>
<li><b>Platform Integration:</b> Build agents that integrate with enterprise systems through tools, APIs, and Model Context Protocol (MCP) servers. Implement custom tools, skills, and plugins that extend agent capabilities across UKG&rsquo;s HCM platform.</li>
<li><b>Feature and Project Delivery:</b> Own execution and delivery of agent-powered features and projects, working with product management and engineering partners to clarify requirements, manage priorities and timelines, and deliver high-quality results.</li>
<li><b>Technical Design:</b> Participate in design reviews with peers, architects, and stakeholders. Contribute to the design of complex agentic systems and applications, including multi-agent coordination patterns, task delegation workflows, and agent communication protocols, with attention to performance, scalability, reliability, and maintainability.</li>
<li><b>Code Review and Engineering Practices:</b> Review code developed by other engineers, provide constructive feedback, and help maintain a high bar for technical excellence, including clean coding practices, appropriate design patterns, unit testing, and observability built from the ground up.</li>
<li><b>Service Health and Quality:</b> Maintain the health and quality of agent-powered services by proactively identifying and addressing issues. Use service health indicators, agent performance metrics such as task success rates, latency, and cost, and telemetry to recommend improvements. Conduct root cause analysis for agent failures and help implement measures to prevent recurrence.</li>
<li><b>Agent Operations:</b> Support agent deployment, monitoring, and lifecycle management. Apply practices for agent versioning, cost monitoring, performance optimization, and iterative improvement. Build observability into agent workflows, including execution tracing, decision logging, and failure analysis.</li>
<li><b>Testing and Evaluation:</b> Build testable agents and agentic systems; define and automate tests using appropriate frameworks. Apply agent-specific testing strategies, including prompt validation, agent evaluation, multi-step workflow testing, tool invocation testing, tool validation, and adversarial scenario testing.</li>
<li><b>DevOps Model:</b> Take ownership across the software lifecycle&mdash;from collaborating with product management on requirements through design, development, testing, deployment, and maintenance of software in production.</li>
<li><b>Documentation and Knowledge Sharing:</b> Document new features, enhancements, fixes, agent behaviors, and operational procedures. Share knowledge with teammates and contribute to training materials and team practices.</li>
<li><b>Mentorship and Collaboration:</b> Collaborate effectively across engineering and product teams and provide technical guidance to less-experienced engineers on agent development, tool integrations, testing, observability, and agent safety practices.</li>
<li><b>Innovation:</b> Stay current with emerging agentic AI technologies and platforms&mdash;including Google ADK, Anthropic Claude SDK, LangGraph, AutoGen, and CrewAI&mdash;and evaluate or adopt new capabilities, integrations, and orchestration patterns where they improve productivity, quality, or customer value.</li>
</ul><p><b>Qualifications:</b></p>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
<li>4+ years of professional software development experience, with hands-on experience building LLM-powered applications or agentic AI systems.</li>
<li>Deep expertise in one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript.</li>
<li>Experience building or contributing to production applications using platforms such as Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar agentic frameworks.</li>
<li>Understanding of agent orchestration patterns, tool-use architectures, prompt and context engineering, and agent design patterns such as ReAct and multi-agent collaboration.</li>
<li>Experience integrating software or agents with enterprise systems through APIs, tools, and protocols such as REST APIs, MCP, and function calling.</li>
<li>Experience with software architecture and design patterns, including the ability to contribute to scalable, reliable agentic systems in a DevOps model.</li>
<li>Experience delivering complex software features or projects and working effectively with product, architecture, and engineering stakeholders.</li>
<li>Proficiency with cloud technologies such as GCP (including Vertex AI and Google ADK), Azure (including Azure OpenAI), or AWS (including Bedrock), and version control systems such as GitHub.</li>
<li>Strong problem-solving skills, attention to detail, and commitment to delivering high-quality agent-powered solutions.</li>
<li>Experience building telemetry and observability for software or agentic systems, including execution tracing, decision logging, cost monitoring, or success-rate tracking.</li>
<li>Strong communication and interpersonal skills, with the ability to explain technical concepts, collaborate in a team environment, and incorporate feedback into design and implementation decisions.</li>
</ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Experience with agent evaluation frameworks, prompt testing, tool validation, or adversarial testing.</li>
<li>Familiarity with CI/CD pipelines, automated testing, and production observability tools.</li>
<li>Knowledge of agile software development methodologies.</li>
<li>Familiarity with developing accessible technologies.</li>
<li>Dedicated to diversity and inclusion initiatives.</li>
</ul><p><b>Company Overview:</b></p>
<p>UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry &mdash; because great organizations know their workforce is their competitive edge. Learn more at ukg.com.</p>
<p>Equal Opportunity Employer
</p><p>UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.</p>
<p>View The EEO Know Your Rights poster
</p><p>UKG participates in E-Verify.
</p><p>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p>
<p>Disability Accommodation in the Application and Interview Process</p>
<p>For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com<br>
<br>
</p><p>The pay range for this position is $102,000 to $169,107.50. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG&rsquo;s benefits and rewards at https://www.ukg.com/about-us/careers/benefits</p>
</div></div><div></div><div><div><div><div><div>NOTICE ON HIRING SCAMS</div>
<br>
UKG will never ask you for a copy of your driver&rsquo;s license, social security card, or passport during a job inter<br>
<br>
<br>
<div>ABOUT OUR JOB DESCRIPTIONS</div>
<br>
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.</div></div></div></div></div></div></div></div></div>

Software Engineer III (Agentic AI)

Apple

<p>We are the Dependency Risk &amp; Automation Team in Apple Services Engineering (ASE) Security. We're responsible for understanding what software Apple runs, where it came from, and how exposed it is, across the internal and open-source projects behind iCloud, Music, Siri, the App Store, and the rest of Apple's services.<br>
<br>
Composition and vulnerability signal reach us from build systems, package registries, vulnerability feeds, and SBOMs generated across a large, heterogeneous estate of projects and languages, and increasingly from dependency choices made by AI coding assistants and agents rather than the engineers who own the code. Turning that into one prioritized, trustworthy picture of risk that engineering teams can act on and security leadership can rely on takes real architectural judgment, not just tooling.<br>
<br>
We're looking for a senior engineer to take technical ownership of significant parts of this problem: shaping how software inventory and vulnerability data are modeled and correlated, setting the engineering quality bar the rest of the platform is held to, and mentoring engineers across the team and adjacent teams on how to reason about supply chain risk. You'll make the architectural calls that determine whether the rest of the company can trust and act on that data, and you'll play a meaningful role in ensuring the highest standard of security for one of the most-watched companies in the world.<br>
<br>
<b>Description</b><br>
<br>
This role owns technical depth across software composition analysis, vulnerability intelligence, and the automation that keeps both operating reliably at Apple's scale. You'll work across a diverse set of tools and codebases, and you'll be one of the people other engineers and adjacent security teams turn to when supply chain risk questions get hard, from how we track what's in our software, to how we correlate that against emerging vulnerabilities and end-of-life risk, to how we make that information actionable rather than just available.<br>
<br>
You will confront a new class of problem, as AI coding assistants and agents generate a growing share of Apple's code and a growing share of its dependency choices you'll help define what secure software development means when dependencies increasingly get pulled in with minimal human review.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Familiarity with specific SBOM formats and tooling (CycloneDX, SPDX, cdxgen, syft) and the Package URL (purl) standard<br>
<br>
Knowledge of Open Container Initiative (OCI) image concepts<br>
<br>
Experience with SLSA (Supply-chain Levels for Software Artifacts) and build/artifact attestations<br>
<br>
Experience with graph-based data modeling for dependency or risk relationships<br>
<br>
Experience designing or operating automated dependency curation or allow-listing systems that can keep pace with AI-accelerated development<br>
<br>
Familiarity with spec-driven development workflows and how they change the security review surface<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
8+ years of experience in security software engineering, with demonstrated end-to-end ownership of a system or platform, and hands-on experience in the software supply chain security, dependency management and OSS risk<br>
<br>
Deep proficiency in Go and strong proficiency in Java, including both languages' dependency ecosystems (Go Modules, Maven/Gradle), plus solid software engineering fundamentals<br>
<br>
Experience with SBOM standards, software composition analysis (SCA) tooling and vulnerability data sources (e.g., NVD, OSV, GitHub Advisories), turning raw feeds into prioritized signal<br>
<br>
Track record of technical leadership - driving architecture decisions, setting technical direction for a team or platform, mentoring other engineers, and communicating technical tradeoffs clearly to both engineers and security leadership<br>
<br>
Experience with software delivery pipelines (CI/CD, build systems, release engineering) and cloud/container infrastructure (Kubernetes, AWS or equivalent)<br>
<br>
Practical, hands-on experience with AI coding assistants or agentic development tools, and an understanding of emerging AI-specific supply chain risks<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Security Software Engineer, Software Supply Chain Security

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
<br>
The Amazon Agentic WorkSpaces organization is building the future of secure, high-performance agentic WorkSpaces Applications environments &mdash; environments that span desktops and<br>
applications, serving knowledge workers, task workers, and automation agents at millions-of-user scale.<br>
<br>
## The role<br>
<br>
The Amazon Agentic WorkSpaces organization is seeking a Software Development Manager to lead the engineering team behind Amazon WorkSpaces Advisor, our AI-powered troubleshooting and<br>
optimization experience for administrators. We are building agentic solutions that analyze fleet telemetry, diagnose root causes, and recommend or apply fixes &mdash; turning problems that once<br>
took days of manual investigation into answers delivered in minutes. Our aim is to make virtual desktop and application environments effectively self-diagnosing, so administrators spend<br>
their time on strategic work instead of chasing symptoms across consoles and logs.<br>
<br>
You will lead a team of software engineers building at the intersection of applied AI and large-scale distributed systems. You will own Advisor end to end &mdash; expanding the range of problems it can solve, raising the accuracy and trustworthiness of its recommendations, and advancing it from reactive troubleshooting toward proactive detection and self-healing. In<br>
addition, your team owns a set of Control Plane Services through which customers provision, configure, and manage their environments, where you will be accountable for availability, latency, security posture, and operational health. This role offers the opportunity to build new agentic products from the ground up while operating production services that customers<br>
depend on every day.<br>
You will influence the technical direction of the team and work across many different technologies and disciplines. You will raise the engineering bar &mdash; design rigor, code quality, test coverage, and safe deployment practices &mdash; and champion an AI-native, automation-first approach to how software gets built and operated, using agentic tooling to increase velocity without<br>
trading away quality. You will identify technology gaps and opportunities and write effective communications including design documents, tenets, and PR/FAQs. Above all, you will hire, grow, and retain engineers who scale with the business.<br>
<br>
About the team<br>
ABOUT AWS:<br>
<br>
Diverse Experiences
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Inclusive Team Culture
<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>3+ years of engineering team management experience</li><li>7+ years of working directly within engineering teams experience</li><li>3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>8+ years of leading the definition and development of multi tier web services experience</li><li>Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Experience partnering with product or program management teams</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy</li><li>Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers</li><li>Experience delivering customer-facing features built on generative AI or agentic capabilities, including evaluating and improving output quality in production</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually</div><p></p>

Software Development Manager, Agentic WorkSpaces Applications, Amazon Agentic WorkSpaces

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