Qureos Mentor

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about driving AWS's growth by designing and delivering strategic skills transformation solutions for our enterprise customers?<br>
<br>
As the Training Solutions eXperience (TSX) Sr. Manager, you'll operate at the critical intersection of program management, technology, and change management. TSX is a new organization that will elevate the voice of the customer and deliver more differentiated learning solutions to meet the needs of a diverse set of customers and partners. This pivotal role involves partnering with AWS Training &amp; Certification (T&amp;C) field teams to architect scalable transformation solutions for our customers.<br>
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Key job responsibilities<br>
<ul><li>Diving deep into customer segment needs and goals to develop targeted enablement strategies</li><li>Collaborating with field sales teams to understand and address customer challenges</li><li>Leading consultative teams that drive cloud adoption and innovation across global customers</li><li>Through close partnership with Strategy and Operations teams, designing both customized and standardized solutions that accelerate our customers' cultural and technological transformation.
</li><li>Taking ownership of all programmatic activities for customer engagements including planning, reporting and risk mitigation</li><li>Crafting monthly and quarterly business reviews to AWS leadership to surface key business insights</li></ul><br>
A day in the life<br>
In this role, you'll be instrumental in helping organizations navigate their cloud journey by developing and implementing comprehensive training and enablement solutions that drive meaningful business outcomes.<br>
<br>
About the team<br>
AWS Global Services
<br>
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.<br>
<br>
About AWS<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 (gender diversity) 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><br>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of building and leading large teams and working in matrixed operating structures experience</li><li>Bachelor's degree or equivalent</li><li>Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent</li><li>Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of managing and developing high performance teams experience</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $174,300/year in our lowest geographic market up to $288,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Training Solutions eXperience Sr. Manager, Training and Certification

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Training &amp; Certification (T&amp;C) is seeking a Systems Development Engineer I (SysDE 1) to help build and maintain automation tools and infrastructure that enhance how AWS training content is created, updated, and delivered.<br>
You will work with senior engineers to design and deliver automation components and monitoring systems that improve efficiency and reliability of content publishing and refresh workflows. This role is ideal for someone eager to deepen their systems engineering, automation, and AWS cloud skills in a fast-moving environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop, test, and deploy automation scripts, tools, and services that improve content maintenance and publishing workflows.</li><li>Support system reliability and operational excellence by implementing monitoring, alerting, and runbook automation.</li><li>Participate in code and design reviews, learning from experienced engineers and incorporating feedback.</li><li>Contribute to the diagnosis and resolution of system issues and participate in root-cause analysis.</li><li>Document processes and system designs to improve team onboarding and sustainability.</li><li>Learn and apply best practices in resilience engineering, security, and accessibility.</li></ul><br>
A day in the life<br>
The Systems Development Engineer collaborates with Technical Program Managers, Product Managers, and Curriculum Developers to design and deliver automation systems that improve the efficiency and quality of AWS training content. Each day involves building and maintaining AI-driven pipelines that detect stale content, automate refresh workflows, and enhance publishing reliability. The engineer partners with internal customers across Content Studio, LCMS, and Skill Builder to reduce manual processes, increase scalability, and ensure seamless learner experiences. They balance hands-on coding, system design, and operational excellence to make AWS content delivery faster and smarter.<br>
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About the team<br>
Sitting within AWS Training and Certification, Core Curriculum builds and manages the world&rsquo;s most complete, current, and compelling portfolio of cloud training content. Our portfolio comprises 1,000&rsquo;s of learning experiences, covering 100&rsquo;s of discrete AWS services. We build for all levels, from introductory to advanced and support global learners across 22 languages.<br>
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As a content organization, Core Curriculum is in the vanguard of the generative AI revolution with investments in AI and broader technical automation that will massively increase the coverage and reach of our training portfolio, and meet ever-increasing customer expectations of choice and personalization.<br>
<br>
AWS Global Services
<br>
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.<br>
<br>
About AWS<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 (gender diversity) 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><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or above in computer science, computer engineering, or related field</li><li>1+ years of software development, or 3+ years of systems engineering experience</li><li>Knowledge of at least one programming language such as Java, C#, JavaScript, Python, Ruby or Perl</li><li>Experience troubleshooting and debugging technical systems, or experience in technical support and experience with automation and any version control tools</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with CI/CD pipelines build processes</li><li>Knowledge of large scale automation and workflow management or equivalent</li><li>Experience using managed ML/AI solutions</li><li>AWS Certification (Developer Associate or SysOps Administrator) preferred.</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Systems Development Engineer - Content Automation & Learning Systems

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Shape the Future of AI Accelerators at AWS Neuron<br>
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Join the elite team behind AWS Neuron&mdash;the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale.<br>
<br>
What You'll Impact:<br>
<ul><li>Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen</li><li>Optimize breakthrough language and vision generative AI models</li><li>Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration</li><li>Drive performance benchmarking and tuning that directly impacts millions of inference calls globally</li></ul><br>
Key job responsibilities<br>
You will drive the Evolution of Distributed AI at AWS Neuron<br>
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As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization&mdash;it's about revolutionizing how AI models run at scale.<br>
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Technical Impact You'll Drive:<br>
<ul><li>Spearhead distributed inference architecture for PyTorch and JAX using XLA</li><li>Engineer breakthrough performance optimizations for AWS Trainium and Inferentia</li><li>Develop ML tools to enhance LLM accuracy and efficiency</li><li>Transform complex tensor operations into highly optimized hardware implementations</li><li>Pioneer benchmarking methodologies that shape next-gen AI accelerator design</li></ul><br>
What Makes This Role Unique:<br>
<ul><li>Direct influence on AWS's AI infrastructure used by thousands of ML applications</li><li>Full-stack optimization from high-level frameworks to hardware-specific primitives</li><li>Creation of tools and frameworks that define industry standards for ML deployment</li><li>Collaboration with both open-source ML communities and hardware architecture teams</li></ul><br>
Your Technical Arsenal Should Include:<br>
<ul><li>Deep expertise in Python and ML framework internals</li><li>Strong understanding of distributed systems and ML optimization</li><li>Passion for performance tuning and system architecture</li></ul><br>
A day in the life<br>
Work/Life Balance<br>
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br>
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Mentorship &amp; Career Growth<br>
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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.<br>
<br>
About the team<br>
At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment.<br>
We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware. Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads.<br>
We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.</div><h2 class="jobSectionHeader"><b>
BASIC 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>5+ years of programming experience using Python or C++ and PyTorch.</li><li>Experience with AI acceleration via quantization, parallelism, model compression, batching, KV caching, vllm serving</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science or equivalent</li><li>Master's degree in machine learning or equivalent</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Experience in developing CUDA kernels, HPC and inference optimization, tensors operations</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Software Engineer- AI/ML, AWS Neuron Apps

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Annapurna Labs, is an organization within AWS, that is responsible for building custom silicon and software for AWS customers. With development centers in the U.S. and Israel, Annapurna is at the forefront of innovation by combining cloud scale with the world&rsquo;s most talented engineers. The Annapurna team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations.
<br>
<br>
As part of Annapurna Labs Silicon Validation team, you&rsquo;ll have the opportunity to validate the next generation of cloud computing machine learning accelerators. You&rsquo;ll experience what it&rsquo;s like to work in a fast-paced, innovative, and start-up like environment filled with some of the brightest minds in the industry. The work we do is not only cutting-edge and internet-scale but also deeply important to our customers. The team's validation is used to test every component of our hardware and software to come together into products that our customers use for Machine Learning acceleration.<br>
<br>
Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The scope of this role includes validation of the vertical stack of Silicon, PCB, High Speed components e.g., HBM, PCIe and Chip to Chip, inter-systems and system to system. Diving deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale.<br>
<br>
Key job responsibilities<br>
As a Senior Validation engineer, you are responsible for validating the chip and system architecture for the next generation Machine Learning Acceleration (MLA) product family. You work closely with design, software &amp; architecture teams and develop in-depth chip and system validation plans, execute on the validation plans, debug and take the MLA product to successful production ramp. This includes validating the design to achieve the best performance, identify bottlenecks and work with design/architecture teams to resolve them. Our work does not stop at production ramp, we continue to support our servers in the datacenter through their lifecycle.<br>
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A day in the life<br>
<br>
<ul><li>Architect system validation strategies</li><li>Develop system validation methodologies and infrastructures for validating machine learning HW and neural networks</li><li>Evaluate and improve performance of Machine Learning systems</li><li>Work with other functional teams to ensure delivery of high quality systems to AWS data centers</li><li>Own validation schedules and reporting of progress metrics</li><li>Provide technical mentoring for junior team members</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of programming with at least one software programming language experience</li><li>Bachelor's degree or above in computer science, computer engineering, or related field, or Bachelor's degree</li><li>5+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience.</li><li>Experience with Linux environments and Git.</li><li>Experience with server hardware and debug tools</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with Machine Learning Hardware/Software Architecture</li><li>Experience with CI/CD</li><li>Experience with EDA Simulations or Emulation</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Post-Silicon Systems Validation Engineer, Annapurna Labs

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
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 customers who require specialized security solutions for their cloud services.<br>
<br>
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago&mdash;even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.<br>
<br>
We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to ownn the design and execution of new building block components and server products, with the goal of creating and customized platforms that fit within AWS datacenter&rsquo;s world leading technology.<br>
<br>
As a member of the Machine Learning Acceleration team you&rsquo;ll be responsible for the design and optimization of hardware in our data centers. You&rsquo;ll provide leadership of new server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you&rsquo;ll work with thought leaders in multiple technology areas. You&rsquo;ll have high standards for yourself and everyone you work with, and you&rsquo;ll be constantly looking for ways to improve your products performance, quality and cost. We&rsquo;re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.<br>
<br>
Key job responsibilities<br>
You will work closely with internal design teams throughout AWS as well as with Design Partner teams worldwide to produce world class server and rack products. You will own the integration of multiple bespoke components developed by internal Annapurna labs teams and integration of the rack into AWS's infrastructure.
<br>
<br>
About the team<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>
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>
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
<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>
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>
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.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Electrical Engineering or a related field</li><li>Experience in developing functional specifications, design verification plans and functional test procedures</li><li>5+ years of relevant work experience with complex accelerator, storage or network server designs.</li><li>3+ years of development experience in hardware/ firmware. Proven ability to debug PCIe, memory or storage subsystems.</li><li>Working with interdisciplinary teams to execute product design from concept to production spanning internal hardware, firmware and software teams as well as external design partners.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree or Ph.D. degree in Electrical Engineering or related field</li><li>Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs</li><li>Experience with modern ASIC/FPGA design and verification tools</li><li>Experience with SOC bring-up and post-silicon validation</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $257,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Hardware Engineer - ML Acceleration, Annapurna Labs

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we&rsquo;re handling massive scale and rapid integration of emergent technologies.
<br>
As a member of the Cloud-Scale Machine Learning Acceleration team you&rsquo;ll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Develop formal verification plans, implement and verify state-of-the-art IP architectures.
</li><li>Work with block designers to gain deep micro-architectural understanding.
</li><li>Develop checking algorithms, assertions, and FV models.
</li><li>Perform state of the art formal methods and abstraction techniques.
</li><li>Participate in test plan and coverage reviews.
</li><li>Promote assertions to simulation and contribute to overall simulation strategy.
</li><li>Communicate and work with team members across multiple disciplines.</li></ul><br>
About the team<br>
Inclusive Team Culture<br>
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.<br>
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Work/Life Balance<br>
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br>
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Mentorship &amp; Career Growth<br>
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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or above in computer science, electrical engineering, or related field</li><li>7+ years of practical experience with formal verification as IP/Block owner, or equivalent academic experience in formal methods.</li><li>7+ years of experience with formal verification techniques including abstraction and end-to-end checking, or equivalent academic experience in formal methods.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with formal verification techniques including abstraction and end-to-end checking</li><li>Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby)</li><li>Understanding of u-arch design comprehension and debugging.</li><li>Practical experience with RTL design.</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>
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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>
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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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Formal Verification Engineer, Annapurna Labs

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector<br>
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Would you like a career that gives you opportunities to help customers and partners use cloud computing web services to do big new things faster, at lower cost?<br>
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Do you like to work on-site in a variety of business environments, leading teams through high impact projects using the newest technology?<br>
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Would you like to gain the deepest customer and partner insights on maximizing the value of cloud computing technologies? At AWS, we&rsquo;re hiring highly technical DevSecOps leaders to collaborate with our customers and partners on key engagements, while also helping our partners develop technical expertise and capacity. Our consultants will deliver with customers and partners to address the DevOps, Security, and Compliance needs of their workloads on AWS.<br>
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Key job responsibilities<br>
<ul><li>Expertise - Collaborate with AWS field business development, marketing, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Simple DB/RDS databases, AWS Identity and Access Management (IAM), etc.</li><li>Customer Obsession - Define and deliver on-site technical engagements with partners and customers. This involves participating in on-site visits with prospective customers, understanding customer requirements and industry background, proposing and delivering packaged offerings as well as delivering custom solution engagements.</li><li>Delivery - Engagements include on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include DevSecOps practices and adherence to compliance and regulatory requirements.</li><li>Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.</li><li>Collaboration - Foster security best practices within the engagement team and participate through policy-as-code and security engineering solutions to offerings and internal delivery excellence toolbox.</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>
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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>
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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) conferences, inspire us to never stop embracing our uniqueness.<br>
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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>
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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>10+ years of technical specialist, design and architecture experience</li><li>7+ years of security, compliance and risk management experience</li><li>3+ years of continuous integration and continuous delivery (CI/CD) experience</li><li>5+ years of software development with object oriented language experience</li><li>Bachelor's degree, or 7+ years of professional or military experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in consulting, design and implementation of serverless distributed solutions</li><li>Experience in software development with object oriented language</li></ul><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.</div>

Sr. DevSecOps, Global Accounts, Professional Services

Join Amazon Web Services and explore 61   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.