Senior Embedded Software Engineer, Machine Learning Accelerator Technology

Amazon Inc.; Austin (TX); On-site; USD 168,000 - 227,000; Full time

Job summary

Annapurna Labs, the hardware-software integration arm within Amazon Web Services, is seeking a Senior Embedded Software Engineer to advance software for ML accelerators and silicon platforms. You will contribute across the hardware life cycle, partnering with EC2 teams to build robust, scalable software for cutting-edge ML servers.

The role blends low-level hardware interaction with high-level software design to enable scalable ML workloads.

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software language.
• 5+ years of leading design or architecture of systems.
• 5+ years of full software development life cycle experience.
• Experience as a mentor or tech lead.

Responsibilities

• Develop software related to machine learning hardware across the hardware life cycle.
• Collaborate with silicon and hardware teams across EC2.
• Create maintainable, improvable, documented, tested, reusable software.
• Monitor, debug, and improve a fleet of machine learning accelerators.

Skills

Software development experience

System design

Software architecture

Leadership / mentoring

Experience with PCIe devices

Education

Bachelor's degree in computer science or equivalent

Tools

PCIe devices

Job description

Senior Embedded Software Engineer, Machine Learning Accelerator Technology

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The MLA Technology team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and view the software to drive these technologies as the deliverable.

Do you like hacking memory using PCIe expansion cards? Great! Do you read data sheets like others read the news? Great! Done some embedded programming? Great! Messed with FPGAs? Great! Hacked your autonomous vacuum cleaner? Great! Let the magic smoke out once or twice? Didn't we all ... Did this make you smile? Awesome.

Our team writes software focused on hardware for the most advanced servers in the world. If that interests you, come join our team!

Key job responsibilities

• Members of the team are responsible for software related to machine learning hardware at all points in the hardware life cycle.
• Working with silicon design and hardware design teams across EC2
• Developing software which can be maintained, improved upon, documented, tested, and reused.
• Monitoring, debugging, and improving a 2+ million chip fleet of machine learning accelerators

A day in the life

The MLA Technology team was formed to focus on server and accelerator debug, testing, qualification, and manufacturing. No software is too low level for us. No software is too high level for us. At a high-level our goal is to find ways to help the organization scale through the use of software and automation as it relates to specific hardware technologies.

Our team is comprised of excellent software engineers who are able to put on their hardware caps and excellent hardware engineers who are able to put on their software caps. We blend worlds between hardware and software, focusing on fixing problems for a living fleet of accelerators at scale.

About the team

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’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.

Diverse Experiences

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’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

About AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’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.

Work-Life Balance

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’s nothing we can’t achieve in the cloud.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

• Bachelor's degree in computer science or equivalent
• Knowledge of computer architecture, operating systems, and parallel computing
• Experience as a technical lead, systems engineer, or technical program manager with significant experience in complex systems
• Experience working with PCIe devices

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 168,100.00 - 227,400.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.