Job title : Validation Engineer
Location: Cupertino, CA and Austin TX
Experience: 5+ Years
Seekiing- Post-Validation Engineer with experince in 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.
What You'll 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. 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.
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.
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
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