software developer

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 engineer ii

full stack software engineer

Integrate

<div>
 <strong>
  About Us
  <br/>
 </strong>
 Integrate is a Seattle-based company building program management software for the world&rsquo;s most ambitious machines 🦾 Integrate simplifies cross-organizational collaboration within deep tech (think rockets, self-driving cars, robotics), with vendors, customers, and other external stakeholders as seamlessly as other software solves collaboration for internal teams. We are revolutionizing how organizations work together in the new deep tech economy by reducing communication overhead and unnecessary workload.
 <br/>
 <br/>
 <strong>
  Our Solution
  <br/>
  <br/>
 </strong>
 Despite growing tailwinds in deeptech and manufacturing industries in the US, existing software tools are inadequate to keep up with the rapid iteration and accelerated pace of hardware development. Integrate is developing a modern, specialized software solution that will enable seamless communication between all stakeholders internal and external to bring on the future, faster.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
 </strong>
 <strong>
  Own the front end
 </strong>
 &mdash; lead the development of beautiful, high-performance, and accessible user interfaces that delight users and drive product adoption.
 <br/>
 <br/>
 <strong>
  Champion design systems
 </strong>
 &mdash; collaborate with design to evolve and maintain scalable UI components and patterns.
 <br/>
 <br/>
 Drive pixel-perfect implementation &mdash; turn Figma into functional reality with precision, attention to detail, and thoughtful transitions/animations.
 <br/>
 <br/>
 <strong>
  Push the stack
 </strong>
 &mdash; collaborate on API design and architecture to ensure the frontend is blazing fast, efficient, and maintainable.
 <br/>
 <br/>
 <strong>
  Mentor and lead
 </strong>
 &mdash; review frontend code, share best practices, and guide other developers toward quality and consistency.
 <br/>
 <br/>
 <strong>
  Triage, debug, and optimize
 </strong>
 &mdash; identify UI/UX issues, performance bottlenecks, and cross-browser quirks across a range of devices and viewports.
 <br/>
 <br/>
 <strong>
  Shape product and process
 </strong>
 &mdash; participate in design and technical discussions, bringing strong opinions on how to build better interfaces, faster.
 <br/>
 <br/>
 <strong>
  Contribute to documentation
 </strong>
 &mdash; help improve our internal tooling, guides, and onboarding materials, especially those related to frontend work.
 <br/>
 <br/>
 <strong>
  You Are
  <br/>
  <br/>
 </strong>
 Comfortable with 45+ hour weeks.
 <br/>
 <br/>
 An over-communicator.
 <br/>
 <br/>
 Enthusiastic about extreme ownership.
 <br/>
 <br/>
 Comfortable in an iterative, agile environment where each deployment is key to application growth.
 <br/>
 <br/>
 Comfortable with receiving and giving kind, constructive criticism.
 <br/>
 <br/>
 Someone who believes every problem is solvable with the right combination of patience, tenacity, and empathy.
 <br/>
 <br/>
 Proficient in modern remote working software.
 <br/>
 <br/>
 Someone who is very thorough in your work yet allows a sense of urgency to guide decision-making.
 <br/>
 <br/>
 Excited to learn and grow in all facets.
 <br/>
 <br/>
 A goof.
 <br/>
 <br/>
 <strong>
  Preferred Experience
  <br/>
 </strong>
 Hold or have held a TS SCI clearance.
 <br/>
 <br/>
 Been an early member of a startup (&lt;25 people) and thrived.
 <br/>
 <br/>
 Solid understanding of front-end development. (not allergic to JS)
 <br/>
 <br/>
 Solid understanding of non-OOP styles backend languages.
 <br/>
 <br/>
 Experience in the full software development lifecycle.
 <br/>
 <br/>
 Can reason about architecture and infrastructure improvements.
 <br/>
 <br/>
 Experience in modularizing code and implementing reusable components.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
 </strong>
 React
 <br/>
 <br/>
 HTML5
 <br/>
 <br/>
 CSS3
 <br/>
 <br/>
 REST
 <br/>
 <br/>
 Golang
 <br/>
 <br/>
 SQL / Postgresql
 <br/>
 <br/>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 React Toolkit (RTK)
 <br/>
 <br/>
 Playwright (or similar e2e testing suite)
 <br/>
 <br/>
 React Testing Library
 <br/>
 <br/>
 Tailwind CSS
 <br/>
 <br/>
 GitHub Actions
 <br/>
 <br/>
 Graphql
 <br/>
 <br/>
 Join us at Integrate and lead the charge in securing the future of deep tech innovation.
 <br/>
 <br/>
 <strong>
  ITAR Requirement
  <br/>
  <br/>
 </strong>
 This position requires access to information protected under US export control laws, including the International Traffic in Arms Regulations and/or the Export Administration Regulations. As such, US person status (including US citizens, U.S. permanent residents, individuals granted U.S. asylum status, or individuals admitted in U.S. refugee status) is a required qualification for this position.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity and/or expression, national origin, protected veteran status, disability, genetics, or citizenship status (when otherwise legally authorized to work and access export-controlled data) and will not be discriminated against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants of all ages.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 <br/>
 <br/>
 Fully covered and premium health insurance, dental, vision. Equity component.
</div>


Full Stack Software Engineer

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 Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Automated Reasoning Group in the AWS Neuron Compiler team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, Inferentia and Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, and is the underpinning of Generative AI.<br>
<br>
In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish cutting-edge research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role.<br>
<br>
A background in machine learning and AI accelerators is preferred but not required.<br>
<br>
A day in the life<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why 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>
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>
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.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Publication record in automated reasoning or compiler construction</li><li>Knowledge of interactive theorem provers such as Lean</li><li>Experience with heuristic search, e.g., fuzzers</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 $136,000/year in our lowest geographic market up to $223,400/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>

Applied Scientist, ML Compiler

<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>
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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>
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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>
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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>
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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>
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<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>
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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>
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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>
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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 $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

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>
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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>
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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>
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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>
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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>
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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>
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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 $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

Adaptive6

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 Adaptive6 is the industry's first Cloud Cost Governance platform, helping enterprises maximize cloud efficiency by optimizing their infrastructure. The platform continuously scans multi-cloud, PaaS, and Infrastructure-as-Code environments, uncovering hundreds of hidden inefficiencies that are typically overlooked. Inspired by cybersecurity methodologies, it accelerates remediation with AI-driven code fixes and proactively prevents waste before deployment through shift-left cost policies.
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 With rapid adoption among Fortune 500 companies, we are expanding our world-class team to meet growing demand.
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 We are looking for our next
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  Sales Engineer
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 &mdash;a dynamic, customer-focused professional who thrives at the intersection of technology and business. This is a high-impact role where you&rsquo;ll help shape the customer journey, showcase the power of our solutions, and influence the growth of our business. In this position, you will:
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   Partner with Account Executives to drive technical discovery, demos, and POCs.
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   Translate complex customer requirements into product solutions.
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   Act as a trusted advisor to prospects and customers throughout the sales cycle.
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   Provide technical feedback to product and engineering teams.
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  </li>
 </ul>
 Requirements:
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   3+ years of experience as Sales/Pre-Sales/Solutions Engineer in SaaS or enterprise software.
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   Strong technical background (cloud infrastructure, DevOps, or security).
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   Excellent presentation and communication skills in English.
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   Ability to build trust with both technical and business stakeholders.
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 </ul>
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Sales Engineer (Remote)

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