The Manufacturing Engineer role at Annapurna Labs focuses on leading the manufacturing of AI servers and systems utilizing Trainium chips. This position is part of a team dedicated to machine learning products for a major cloud services provider. The engineer will work closely with system engineering teams and ODM/CM partners to enhance product quality and production efficiency. The role requires a proactive approach to problem-solving and collaboration within a cross-disciplinary environment.

• Bachelor's degree in Electrical Engineering or a related field
• Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
• Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing
• Master's degree in Electrical or Communications Engineering or a related field is preferred
• Experience with formal verification techniques including abstraction and end-to-end checking
• Experience with industry standard tools and scripting languages (Python or Perl) for automation
• Experience with ARM and various DSP ISAs
• Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards

• Be responsible for the test validation of future technologies.
• Drive manufacturing process improvements to address reliability issues and concerns.
• Qualify manufacturing lines and mechanisms for mass production.
• Lead identifying and validating product/component risks and work with design teams to mitigate them.
• Define the test methodology and test coverage to assure product quality.
• Provide technical leadership and mentor engineers.
• Work with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.
• Evaluate, investigate and introduce new manufacturing technology and methodology to enhance product quality and production efficiency.
• Develop or adapt manufacturing processes at the ODM and CM, including defining fixture requirements and critical assembly requirements.
• Drive all factory-related operational issues related to assembly processes during pre-production builds.
• Manage product lifecycle changes and lead product quality and reliability improvement projects.
• Implement and optimize manufacturing first pass yields and efficiency from prototype through product ramp.
• Support cost reduction and sustaining activities.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.