Post-Silicon Systems Software Validation Engineer

Role: Post-Silicon Systems Software Validation Engineer

Location: Cupertino CA and Austin TX (Preferred) Day-1 Onsite

Experience: 8 Years

What Youll Be Doing:

As a Senior Validation Engineer on our Machine Learning Acceleration team to work -from early design validation through emulation silicon bring-up post-silicon validation and ongoing support of production systems deployed in AWS data centers. Youll collaborate deeply with architecture RTL design design verification firmware and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple

domains and broad scope of impact-from low-level hardware interfaces to high-level ML workloads-to deliver exceptional results.

A day in the life

• Developing comprehensive validation strategies and leads new methodologies to improve validation coverage and time to root cause.
• Role models detailed test plans covering functional performance power and stress testing from silicon bring-up to product release
• Mentors and provides direction to junior validation engineers
• Executes complex test plans from RTL simulation and emulation environments through physical silicon validation
• Handing complex debug including hands-on silicon bring-up and debug in the lab using oscilloscopes logic analyzers and protocol analyzers
• Validating ML accelerator performance accuracy and reliability using real-world neural network workloads
• Building test infrastructure CI/CD and automated regression frameworks to enable efficient validation at scale
• Collaborating across architecture design firmware and software teams to triage failures and drive root cause analysis to closure
• Reviewing test results identifying patterns and providing feedback to improve design quality and validation coverage
• Delivering new tests to production systems in AWS data centers and manufacturing to improve fleet health

What We Are Looking For:

• Strong programming skills (Python Lua C/C Rust Go etc)
• A solid understanding of computer architecture and chip/system validation methodologies
• Experience with cloud infrastructure and CI/CD
• Firmware testing and/or development (BIOS BMC drivers)
• Domain expertise in any of these areas: PCIe HBM GPUs neural networks ML HW architecture
• Knowledge of the full validation lifecycle from RTL simulation (SystemVerilog/UVM VCS Questa

• Xcelium) and emulation (Palladium Zebu Veloce) through silicon failure analysis and debug

• 5 years of programming with at least one software programming language experience
• Bachelors degree or above in computer science computer engineering or related field or Bachelors degree
• 5 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 server hardware and debug tools
• Experience with Machine Learning Hardware/Software Architecture
• Experience with CI/CD
• Experience with EDA Simulations or Emulation