Systems Software Validation Engineer for W2

Role: Post-Silicon Systems Software Validation Engineer for W2

Location: Cupertino, CA or Austin, TX

Duration: 12 Months

Need candidates from Semiconductor company

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. You''ll 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.

Required

• 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
• Bachelor''s degree or above in computer science, computer engineering, or related field, or bachelor’s 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

Responsibilities:

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

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