Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—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.
Key job responsibilities
As a member of the Machine Learning Acceleration team you’ll be responsible for and manage the organization’s lab activities, handle multiple demanding deadlines, and develop solutions to improve lab automation.
You will have to work well with external / internal groups, including external vendors for lab equipment.
We are looking for candidates who thrive in a fast-paced start-up like environment and work independently to deliver multiple projects in parallel. To be successful you need to be highly motivated and detailed oriented while meeting the highest standards, time to market, cost and quality goals.
About the team
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
- Associates degree in Electrical Engineering or related field
- 5+ years of related experience in engineering labs
- Soldering and rework skills (0402, QFNs, etc.)
- Experience in reading schematics and PCB layout
- Great problem solving and analytical skills, including organization and communication skills
- Manage inventory and procurement of components and equipment
- Good at prioritizing tasks and keeping detailed logs of rework, revision history etc.
PREFERRED QUALIFICATIONS
- Strong computer skills (Mac/Windows, Linux, Scripts generation, etc..)
- Experience and knowledge with lab equipment: Oscilloscope, VNA, PCIe analyzer, etc...
- Experience with power supplies and power measurement experience
- Ability to work independently with minimal guidance
- Basic debug experience of electronic boards
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.