full stack software engineer Jobs in Seattle

full stack software engineer

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software development engineer iii / senior software development engineer - full stack Jobs in Seattle

software development engineer iii / senior software development engineer - full stack

software engineer

software engineer i

software development engineer iii senior software development engineer full stack

Paradox

<div><p><b>Your work days are brighter here.
</b></p><p></p><p>We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
</p><p></p><p><b>About the Team
</b></p>Agent Factory is where Workday&rsquo;s next chapter gets built. We&rsquo;re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI&mdash;deeply embedded into Workday&rsquo;s platform&mdash;not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You&rsquo;ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.
<p></p><p><b>About the Role
</b></p><p></p><p>As a Full Stack Software Engineer in Agent Factory, you&rsquo;ll help build the user-facing and platform experiences that bring Workday&rsquo;s AI agents to life. Working within a small, cross-functional pod, you&rsquo;ll design and ship full stack solutions&mdash;from intuitive front-end experiences to resilient backend services that integrate AI-driven capabilities deeply into HR and Finance workflows. This role is about turning powerful technology into products people actually use: scalable, reliable systems that simplify complex business processes for customers around the world. You&rsquo;ll collaborate closely with machine learning engineers, product managers, and platform teams, owning features end to end and seeing your work run in production. If you enjoy building real products, solving meaningful problems, and working with people who care about quality and craft, you&rsquo;ll feel right at home here.
</p><p></p><p>Your responsibilities:
</p><ul><li><p>Build and deliver full stack features that power AI agents embedded in HR and Financial workflows
</p></li><li><p>Own services and experiences from development through production&mdash;you build it, you run it
</p></li><li><p>Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning
</p></li><li><p>Share knowledge, mentor teammates, and help raise the technical bar across the pod
</p></li></ul><p></p><p><b>About You
</b></p><p></p><p><b>Senior Software Development Engineer - Basic Qualifications:
</b></p><ul><li><p>8+ years of experience in software engineering
</p></li><li><p>5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
</p></li><li><p>5+ years with a Relational DB (PostgreSQL preferred)
</p></li></ul><p></p><p><b>Software Development Engineer III - Basic Qualifications:
</b></p><div><div><div><div><div><div><div><div><div><ul><li><p>5+ years of experience in software engineering
</p></li><li><p>2+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
</p></li><li><p>2+ years of experience with React and Typescript for Front End / Full stack development
</p></li><li><p>2+ years with a Relational DB (PostgreSQL preferred)
</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p><b>Other Qualifications:
</b></p><ul><li><p>Bachelor's degree in a computer related field or equivalent work experience
</p></li><li><p>Experience building and operating SaaS products in cloud environments (AWS preferred)
</p></li><li><p>Familiarity with the tradeoffs and architecture of modern distributed systems
</p></li><li><p>Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
</p></li><li><p>Hands-on experience with containerization technologies (Docker, Kubernetes)
</p></li><li><p>Familiarity with Elasticsearch
</p></li><li><p>Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus
</p></li><li><p>Proven success working within fast-paced, agile environments and cross-functional teams
</p></li><li><p>Strong communication skills, with the ability to collaborate with both technical and non-technical partners
</p></li><li><p>Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
</p></li><li><p>Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement<br>
</p></li></ul><p><br>
<b>Workday Pay Transparency Statement
</b></p><p></p><p>The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here .
</p><p></p>Primary Location: USA.WA.Seattle
<p></p>Primary Location Base Pay Range: $161,300 USD - $241,900 USD
<p></p>Additional US Location(s) Base Pay Range: $145,900 USD - $259,200 USD<br>
<p><br>
<br>
<b>Our Approach to Flexible Work<br>
</b><br>
</p><p>With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply <b>spend at least half (50%) of our time each quarter in the office or in the field </b>with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.
</p><p></p><p>Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
</p><p></p><p>Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
</p><p></p><p><b>Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
</b></p><p>At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.<br>
</p><p></p><p>Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.<br>
</p><p></p><p>In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</p></div>

Software Development Engineer III / Senior Software Development Engineer - Full Stack

Workday

<div><div>Your work days are brighter here.</div><div></div><div>
We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.</div><div></div><div>
About the Team</div>
Agent Factory is where Workday&rsquo;s next chapter gets built. We&rsquo;re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI&mdash;deeply embedded into Workday&rsquo;s platform&mdash;not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You&rsquo;ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.<div></div><div>
About the Role</div><div></div><div>
As a Senior/Principal Machine Learning Engineer in Agent Factory, you&rsquo;ll design and build the core ML systems behind Workday&rsquo;s next generation of AI agents. Working within a small, senior, cross-functional pod, you&rsquo;ll own how models, agent logic, and orchestration layers come together in production&mdash;across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement. You&rsquo;ll implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready. This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack. You&rsquo;ll stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale.</div><div></div><div>
About You</div><div></div><div>
Principal Machine Learning Engineer - Basic Qualifications</div><ul><li><div>
10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation</div></li><li><div>
4+ years of professional experience in machine learning and deep learning frameworks &amp; toolkits such as Pytorch, TensorFlow</div></li><li><div>
6+ years of professional experience in building services to host machine learning models in production at scale</div></li><li><div>
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases</div></li><li><div>
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement</div></li><li><div>
Bachelor&rsquo;s (Master&rsquo;s or PhD preferred) degree in engineering, computer science, physics, math or equivalent</div></li></ul><div></div><div>
Senior Machine Learning Engineer - Basic Qualifications</div><ul><li><div>
7+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation</div></li><li><div>
3+ years of professional experience in machine learning and deep learning frameworks &amp; toolkits such as Pytorch, TensorFlow</div></li><li><div>
4+ years of professional experience in building services to host machine learning models in production at scale</div></li><li><div>
2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases</div></li><li><div>
4+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement</div></li><li><div>
Bachelor&rsquo;s (Master&rsquo;s or PhD preferred) degree in engineering, computer science, physics, math or equivalent</div></li></ul><div></div><div>
Other Qualifications:</div><ul><li><div>
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation</div></li><li><div>
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases</div></li><li><div>
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams</div></li><li><div>
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.</div></li></ul><div><br>
Workday Pay Transparency Statement</div><div></div><div>
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please <div>click here</div>.</div><div></div>
Primary Location: USA.WA.Seattle<div></div>
Primary Location Base Pay Range: $215,000 USD - $322,600 USD<div></div>
Additional US Location(s) Base Pay Range: $194,600 USD - $345,600 USD<div><br>
Our Approach to Flexible Work</div><div><br>
With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.</div><div></div><div>
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.</div><div></div><div>
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!</div><div>
At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.</div><div></div><div><br>
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.</div><div></div><div><br>
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</div></div>

Senior/Principal Machine Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow.<br>
<br>
We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.<br>
<br>
We are looking for a Sr Software Development Engineer to help us evolve the tools, services and frameworks we provide. We seek that rare combination of a solid coding background, a proven track record of applying technologies at scale, and a willingness to challenge the status quo and raise the bar on every service and feature we build.<br>
<br>
Key job responsibilities<br>
Deliver Results and Bias for action matter. Own, build, develop and lead the technical components of a business critical initiative to design, develop, launch and maintain advertising solution(s) and service(s) that enables advertisers with simplified AI-powered advertising offerings.<br>
<br>
We are looking for a someone excited about this technical strategy of engineering and science teams by working closely with a Principal Engineer and Scientists.<br>
<br>
You will also help mentor SDEs.</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></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 Dev Engineer, Amazon Advertising

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Annapurna Labs team at Amazon Web Services (AWS) 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 or equivalent in Computer Science</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>
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 $129,300/year in our lowest geographic market up to $223,600/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>

Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference

Colliers Engineering & Design

<div>Overview:
<div>
MG2, an affiliate of Colliers Engineering &amp; Design, is currently seeking a Senior Buildings Structural Engineer to join our Structural Engineering team in our Seattle, WA office.</div><div></div><div><br>
From complicated industrial design to simple load ratings, Colliers Engineering &amp; Design engineers will ensure your project meets today&rsquo;s safety standards as well as your functional requirements. Our structural engineers are able to design the structural systems for buildings, foundations, and earth retention structures for all types of new construction, additions, and renovations. Our engineers have the knowledge and experience to design projects constructed of steel, timber, reinforced concrete, or masonry.</div><div></div><div><br>
By developing strong connections with our clients, Colliers Engineering &amp; Design engineers ensure our designs enhance the health, welfare, safety and comfort of building occupants. Our projects include new buildings, renovations and re-purposing. Our engineers will create an environment that is cost effective and employs the most up to date sustainability practices.</div><div></div><div><br>
Streamlined coordination with other in-house services has facilitated an efficient approach and complete engineering package that spans all phases of structural design and construction. This includes feasibility studies, scope and condition assessment, code compliance review, static/dynamic load analyses, drawing preparation, bidding services, and construction administration.</div>
Responsibilities:
<ul><li>Perform engineering calculations with the aid of computer software, spreadsheets, and hand calculations.</li><li>
Create structural design plans and details in AutoCAD and Revit.</li><li>
Coach and Mentor more junior staff.</li><li>
Perform site visits, make observations of ongoing construction progress, and survey the structural components of existing buildings.</li><li>
Coordinate with architects, owners, and other engineering disciplines.</li><li>
Review shop drawings and respond to RFI&rsquo;s.</li><li>
Perform QA/QC related tasks.</li></ul>
Qualifications:
<ul><li>Bachelor's Degree in Civil or Architectural Engineering from an ABET accredited University.</li><li>
P.E. required.</li><li>
10+ years of professional structural engineering experience required.</li><li>
AutoCAD proficiency required.</li><li>
Proficient in Revit required.</li><li>
Possess an intermediate to advanced understanding of structural design software such RISA, RAM, TEKLA, TEDDS, SAFE, PROFIS, etc. with a willingness to learn and adapt to new software.</li><li>
A willingness to learn and adapt to new software and client needs.</li><li>
Understanding of steel, concrete, masonry, and wood design principles.</li><li>
Knowledge of current building and material design codes and standards such as IBC, ASCE7, AISC360, ACI318, ACI 530 or NDS.</li><li>
Strong Microsoft Office skills.</li><li>
Able to work independently and also collaboratively on a team.</li><li>
Strong communication skills.</li><li>
Ability to read, write and understand English for purposes of comprehending written job-related communications and verbal instructions and interactions.</li></ul><div>
Compensation: $110,660 to $143,000 per year (depending on qualifications)</div>
What We Offer:
<div>
At MG2, an affiliate of Colliers Engineering &amp; Design, we value our employees with great benefits and worthwhile programs. We are proud of the many initiatives at MG2 such as our focus on Sustainability, our passion for Equity, Diversity &amp; Inclusion, and our fifty-year anniversary celebration. We promote MG2 culture firmwide and within each of our offices through monthly recognition, happy hours, summer events, and an end of year Holiday Party to celebrate our accomplishments. People make the place at MG2 &ndash; <i>Join our growing firm today</i>!</div><div><br>
MG2 offers competitive benefits that support our employees in their life and career. This position is eligible for company benefits including but not limited to:</div><ul><li>
Employer provided employee healthcare plan and reduced cost premium plans, life insurance, and short and long-term disability coverage.</li><li>
Paid Time Off, 9 paid Holidays, and an additional Floating Holiday.</li><li>
Employer sponsored Family Planning Program and employer Paid Parental Leave.</li><li>
Learning &amp; Career Development opportunities.</li><li>
Employee Wellness and Employee Assistance Program.</li><li>
Participation in a 401K program including eligible company match percentage, after waiting period.</li></ul></div>

Senior Structural Engineer - Buildings

P2S Inc.

P2S stands as a provider of professional engineering services to a broad range of markets, including higher education, healthcare, ports/harbors, industrial, entertainment, commercial, laboratories, municipal, and federal sectors. Our specialties include electrical, mechanical, plumbing, fire protection, and technology integration. Our offered services range from engineering and commissioning to construction management. With over 300 dedicated employees, P2S is an internationally recognized leader in many of the key markets we serve. We provide a blend of innovation and technical excellence in delivering green solutions that enhance and sustain the built, natural, and social environments. Currently, we have offices in Long Beach, Seattle, Irvine, San Diego, Los Angeles, and San Jose.
<br><br>
Join our award-winning team. Recognized as the Best Place to Work for over a decade, P2S offers a collaborative, innovative environment where your contributions make a real impact.
<br><b>Employment Type:</b> Full-time
<br><b>Work Schedule:</b> Hybrid — 3 days in-office, 2 days remote
<br><b>Salary Range:</b> $150,000-183,000, based on experience
<br><b>Career Level:</b> Senior
<br><b>Location:</b> Seattle, WA , Long Beach CA, Irvine CA
<br><br>
Position Summary
<br>We are seeking a Senior Mechanical Engineer with extensive experience in HVAC system design to join our engineering team. The ideal candidate will have 10+ years of experience in the design and coordination of HVAC systems for commercial, institutional, and industrial buildings. This position involves leading mechanical design efforts, managing projects from concept through construction, and collaborating closely with architects, owners, and other engineering disciplines to deliver high-quality, coordinated designs. The Senior Mechanical Engineer will also mentor junior staff and contribute to business development and process improvement initiatives.
<br><br>
Key Responsibilities
<br><ul>
<li>Lead and perform HVAC system design including load calculations, equipment selection, and ductwork/hydronic system layout.</li>
<li>Prepare and review drawings, specifications, and technical documentation in accordance with project and code requirements.</li>
<li>Coordinate designs with architectural, structural, electrical, and plumbing disciplines to ensure fully integrated building systems.</li>
<li>Conduct field surveys, evaluate existing mechanical systems, and develop retrofit or upgrade solutions.</li>
<li>Support project development from concept design through construction administration, including responding to RFIs and reviewing submittals.</li>
<li>Collaborate with clients and project managers to define scope, schedule, and budgets for mechanical portions of projects.</li>
<li>Serve as the primary client contact for project communication, technical discussions, and scope management.</li>
<li>Support business development efforts by assisting with proposals, fee estimates, and presentations.</li>
<li>Mentor junior engineers and designers, providing technical guidance and quality assurance reviews.</li>
<li>Stay current with applicable building codes and industry standards.</li>
<li>Participate in internal design reviews, QA/QC processes, and project closeout documentation.</li>
<li>Stay current with ASHRAE standards, building codes, and emerging technologies relevant to mechanical system design.</li>
</ul>
Qualifications
<br><ul>
<li>Bachelor’s Degree in Mechanical Engineering.</li>
<li>Professional Engineer (PE) license or ability to obtain within 12 months (required).</li>
<li>10+ years of progressively responsible experience in HVAC design within a consulting engineering or design-build environment.</li>
<li>Proficiency in Revit, AutoCAD, and HVAC load calculation software (e.g., Carrier HAP, Trane TRACE).</li>
<li>Strong understanding of HVAC system types (VAV, DOAS, hydronic systems, chilled/hot water plants, VRF, etc.).</li>
<li>Familiarity with energy modeling, sustainability, and LEED/ASHRAE 90.1 compliance (required).</li>
<li>Excellent written and verbal communication skills; ability to lead technical discussions with clients and project teams.</li>
<li>Demonstrated ability to manage multiple projects and meet deadlines in a collaborative environment.</li>
<li>Project Management experience (preferred).</li>
</ul>
Additional Preferred Skills
<br><ul>
<li>Experience with healthcare, laboratory, higher education, or mission-critical facilities.</li>
<li>Knowledge of specification writing and Division 23 standards.</li>
<li>Basic understanding of building automation systems and controls integration.</li>
<li>Field experience with commissioning or construction administration.</li>
</ul>
#LI-CC1 #Li-Hybrid
<br><br>
What sets P2S apart?
<br>For 15 years in a row, P2S has been regarded as a “Best Place to Work” by our employees. Why? Because we value satisfied employees just as much as satisfied clients. With competitive benefits, flexible work schedules, paid training/professional memberships, and more. - we aim to attract the best talent and keep them here
<br><br>
<b>Learn more about what it means to work at P2S:</b> https://www.p2sinc.com/join
<br>P2S is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
<br>About Legence
<br><b>Legence (Nasdaq:</b> LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems—enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients.
<br>Benefits
<br><b>401(k) Plan with Company Match:</b> Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting.
<br><b>Health & Welfare Benefits:</b> Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage.
<br><b>Life and Disability Insurance:</b> Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy-up for additional coverage.
<br><b>Time Off:</b> Flexible non-accrual vacation; company holidays per policy. (For California employees, this is separate from California paid sick leave, if applicable.)
<br><b>Expenses:</b> Business travel and related expenses reimbursed per company policy.
<br><b>Discount Program:</b> Company-sponsored discount program with savings on multiple lifestyle categories.
<br>Reasonable Accommodations
<br>If you need assistance or accommodations during the application or interview process, please contact us at ta@wearelegence.com or your dedicated recruiter with the job title and requisition number.
<br>Third-Party Recruiting Disclaimer
<br>Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence.
<br>Pay Disclosure & Considerations
<br>Where pay ranges are indicated, please note that a successful candidate’s exact pay will be determined based relevant job-related factors, including any of the following: candidate’s experience, skills, and qualifications, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws.
<br>Equal Employment Opportunity Employer
<br>Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations.
<br>EEO is the Law

Senior Mechanical Engineer

King County, WA

<div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><br>
<p></p><div><br>
<p>This recruitment is being used to fill a Software Development Intern position within KCPAO&rsquo;s Information Technology Support Services (ITSS) team.</p>
Are you an undergraduate student interested in software engineering or pursuing a career in software development? The King County Prosecuting Attorney's Office (PAO) Information Technology Support Services (ITSS) team is looking for a motivated Software Development Intern to contribute to our core application development projects. You will work directly with Senior Software Engineers, receiving mentorship and guidance throughout the full development lifecycle. This is a unique opportunity to gain professional experience within the Microsoft and Azure cloud ecosystem, while making significant impacts in your community!<br>
<br>
<b>About the King County Prosecuting Attorney&rsquo;s Office</b><br>
<b>Our mission is to do Justice:</b><ul><li>
We exercise the power given to us by the people with fairness and humility.</li><li>
We serve our diverse community, support victims and families, and hold individuals accountable.</li><li>
We develop innovative and collaborative solutions for King County and the State of Washington.</li></ul><div>
We are guided by our core values of Integrity, Compassion, Professionalism, and Leadership. Our office is comprised of six divisions that are further organized into specialized units: To learn more about the Prosecuting Attorney&rsquo;s Office (PAO), please visit our website.
</div><div></div>We value diversity and strive to hire a workforce that reflects the community that we serve. It is essential to our mission that we create and maintain an office that is diverse and inclusive. All PAO employees are expected to participate in PAO equity work and attend equity trainings and discussions. PAO employees are expected to comply with race, equity, and social justice principles, and to work with PAO colleagues and management to identify opportunities for improvement.<br>
<br>
<p><b>Who May Apply: </b>Currently enrolled Bachelors/Associates level studies at an accredited university/college through Spring quarter of 2026. Proof of enrollment status is required upon hire. Interns must commit to working for at least for six months.</p><p><b>
Work Location:</b> Downtown Seattle in King County, WA</p><p><b>
Union Representation:</b> This position is not represented by a labor union.</p><p><b>
Salary:</b> Range 26- $21.21 hourly</p><p><b>
Work Schedule:</b> Our office is open Monday &ndash; Friday from 8:00 am &ndash; 5:00 pm. Interns may work up to 12 hours per week during the school year and up to 20 hours per week during the summer break.</p><div><div><b>
Application Process:</b></div></div><div><div><b>
Interested individuals must complete the three application components:</b></div></div><div><div>
1) Submit a resume<br>
2) Respond to the supplemental questions<br>
3) Fully complete King County application. **<br>
<b><i>**</i></b><b><i>Applications and/or supplemental questionnaires that state &ldquo;see my resume&rdquo; or are blank, are considered incomplete and will not be considered competitive.</i></b></div></div><div></div><div><b><br>
For more information regarding this recruitment, please contact:</b></div><b>
Karla Avila Vargas</b><br>
<b>HR Analyst</b><br>
Kvargas@kingcounty.gov<br>
<div>
(206) 263-0940</div><div><div><b><br>
Selection Process:</b></div></div><div><div>
We strongly encourage all motivated students to apply, as we prioritize initiative and the ability to learn over deep experience for this internship. Materials will be reviewed for qualifications, and the most competitive candidates may be invited to participate in a panel interview process.</div></div><div><div><b><br>
Special Requirements:</b></div></div><div><div>
Finalists must successfully submit to a criminal background check, reference check, and be fingerprinted.</div></div><div></div><b><i><br>
 </i></b><b><i>Please note this position is not eligible for King County leave, holiday, health benefits, or other benefits. However, a</i></b><b><i>dministrative interns accrue sick leave at the rate of 0.025 hours for each hour in pay status.</i></b><b><i> Please contact the recruiter on the posting for any additional questions regarding associated benefits.</i></b></div><p></p>
<div><h2 class="jobSectionHeader"><b>Job Duties</b></h2></div>
<p></p><div><p>Job duties will focus on contributing to the ITSS team's technical roadmap and may vary based on assigned project needs. These responsibilities are designed for hands-on technical learning:</p><ul><li>
Assist senior developers with coding, debugging, and testing application enhancements primarily in the C# and .NET Core framework.</li><li>
Contribute to the front-end development and maintenance of web applications using HTML, CSS, and modern JavaScript frameworks (e.g., React/Angular).</li><li>
Participate in the software development lifecycle, including daily stand-ups and code reviews, following Agile and DevOps practices, utilizing version control systems such as Git/Azure DevOps for collaborative project work, and contributing to Continuous Integration and Continuous Delivery (CI/CD) pipeline processes.</li><li>
Support the integration, configuration, and minor enhancement of software solutions using Microsoft Azure cloud services, SharePoint, and Microsoft Power Platform (Power Apps, Power Automate, Dynamics 365) to assist with enhancing office-wide operational solutions.</li><li>
Develop and maintain technical documentation and application guides.</li><li>
Provide support for the Race, Equity and Social Justice policy and principles, and work with colleagues to identify opportunities for improvement.</li><li>
Other job duties as assigned by the team.</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Experience, Qualifications, Knowledge, Skills</b></h2></div>
<p></p><div><p>We hire interns for their potential and ability to learn. If you are excited about this opportunity and believe you can grow in this role, we strongly encourage you to apply. We prioritize initiative and the ability to learn over deep expertise for our internship roles. Successful candidates will demonstrate this potential alongside a fundamental foundation in computer science concepts and a commitment to continuous learning.</p><p>
Technical Knowledge &amp; Experience</p><ul><li>
Completed coursework in introductory programming, data structures, and algorithms (or equivalent personal project experience).</li><li>
Familiarity with the concepts of relational data storage.</li><li>
Exposure to Microsoft Power Platform (e.g., Power Apps, Power Automate) or Dynamics 365 concepts is desirable.</li><li>
Exposure to the Microsoft development stack (e.g., Visual Studio, C#) is a plus.</li><li>
Competence in Microsoft Office programs including Outlook and Word.</li></ul><br>
Core Professional Skills<br>
<ul><li>
Ability to Accept Feedback and Supervision: Demonstrates a high degree of willingness to learn and accept direction.</li><li>
Strong Analytical and Communication Skills: Ability to synthesize information and communicate clearly.</li><li>
Teamwork and Initiative: Ability to work independently and as a team member, using initiative and attention to detail to see projects and assignments through to completion.</li><li>
Confidentiality and Professionalism: Ability to maintain security, confidentiality, and discretion involving highly critical matters at all times.</li><li>
Commitment to Race, Equity and Social Justice work, including ongoing cultural competence development.</li><li>
Demonstrate timely, reliable, and predictable attendance.</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Supplemental Information</b></h2></div>
<div><p>The <b>Prosecuting Attorney's Office</b> is dedicated to making King County a welcoming community where every person can thrive. We value diversity, inclusion and belonging in our workplace and workforce. To reach this goal we are committed to workforce equity. Equitable recruiting, support, and retention is how we will obtain the highest quality workforce in our region; a workforce that shares and will help advance our guiding principles-we are one team; we solve problems; we focus on the customer; we drive for results; we are racially just; we respect all people; we lead the way; and we are responsible stewards. We encourage people of all backgrounds and identities to apply, including Native American and people of color, immigrants, refugees, women, LGBTQ+, people living with disabilities, and veterans.<br>
<br>
<b>King County is an Equal Employment Opportunity (EEO) Employer</b><br>
No person is unlawfully excluded from employment opportunities based on race, color, religion, national origin, sex (including gender identity, sexual orientation and pregnancy), age, genetic information, disability, veteran status, or other protected class. Our EEO policy applies to all employment actions, including but not limited to recruitment, hiring, selection for training, promotion, transfer, demotion, layoff, termination, rates of pay or other forms of compensation.<br>
<br>
<b>To Apply</b><br>
If you are interested in pursuing this position, please follow the application instructions carefully. If you need this announcement in an alternate language or format, would like to request accommodation or assistance in the application or assessment process or if you have questions, please contact the recruiter listed on this job announcement.</p></div></div></div>

Software Development Undergraduate Student Internship

Explore 153+ Software development engineer iii senior software development engineer full stack in Seattle this December. Find roles across top companies and apply now to boost your career.