Senior Lab Engineer, Annapurna Labs, Machine Learning Hardware

Annapurna Labs
Austin, TX, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Windows Amazon Web Services Code Review Software Debugging Linux Machine Learning PCI Express Software Engineering Systems Integration Pcb Layout

Job description

As a member of the Machine Learning Acceleration team, you’ll manage the organization’s lab activities and develop solutions to improve lab automation.

You will support the Hardware and Software Engineering teams with lab setup and maintenance, as well as work with external/internal groups in the organization, including vendors for lab equipment.

In this role, you will provide technical support for product development projects in the Machine learning lab including AWS Server integration and maintenance.

We are looking for candidates who thrive in a fast-paced, start-up like environment, and who can work independently to deliver multiple projects in parallel across multiple sites. To be successful you need to be hands-on, highly motivated and detailed oriented while meeting the highest standards, time to market, cost and quality goals.

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.

Requirements

BASIC QUALIFICATIONS - Associate’s degree in electrical engineering or equivalent

  • 6+ years of related experience in engineering labs
  • 6+ years of experience 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

Benefits & conditions

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., 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 .

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