Post-Silicon Systems Validation Engineer, Annapurna Labs

Annapurna Labs is an organization within AWS responsible for building custom silicon and software for AWS customers. With development centers in the U.S. and Israel, Annapurna leads innovation by combining cloud scale with the world’s most talented engineers. The Annapurna team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations.

As part of the Annapurna Labs Silicon Validation team, you’ll validate the next generation of cloud computing machine learning accelerators. You’ll experience a fast‑paced, innovative, start‑up‑like environment filled with some of the brightest minds in the industry. The work is cutting‑edge, internet‑scale, and deeply important to our customers, as the team's validation tests every component of our hardware and software that comes together into products our customers use for ML acceleration.

Our custom chips, accelerators, and software stacks allow us to take on technical challenges never seen before, delivering results that help our customers change the world. The scope of this role includes validation of the vertical stack of silicon, PCB, high‑speed components (e.g., HBM, PCIe), chip‑to‑chip, inter‑systems and system‑to‑system, diving deep into new hardware components and scaling technologies that power our machine‑learning boards and servers at scale.

As a Senior Validation Engineer, you will validate the chip and system architecture for the next generation Machine Learning Acceleration (MLA) product family. You will work closely with design, software, and architecture teams, developing in‑depth chip and system validation plans; executing those plans; debugging; and taking the MLA product to successful production ramp. This includes validating the design to achieve the best performance, identifying bottlenecks, and working with design/architecture teams to resolve them.

Our work does not stop at production ramp – we continue to support our servers in the datacenter through their lifecycle.

• Architect system validation strategies
• Develop system validation methodologies and infrastructures for validating machine learning HW and neural networks
• Evaluate and improve performance of machine learning systems
• Work with other functional teams to ensure delivery of high‑quality systems to AWS data centers
• Own validation schedules and reporting of progress metrics
• Provide technical mentoring for junior team members

• Experience with general troubleshooting/debugging of hardware, or experience in computer architecture
• 3+ years of non‑internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience
• Experience with Linux environments and Git

• Experience with Machine Learning Hardware/Software Architecture
• Experience with CI/CD
• Experience with EDA Simulations or Emulation

Los Angeles County applicants:
Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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