Amazon
Post-Silicon Systems Validation Engineer I, Annapurna Labs
$129K
Austin, TX · Full-time · Posted Jul 16, 2026
- Education
- Currently has, or is in the process of obtaining, a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields.
About the job
Validates machine-learning accelerator hardware and software from early design through silicon bring-up, production deployment, and field support.
What you'll do
- Develop and execute validation strategies and test plans, including functional, performance, power, and stress testing.
- Bring up and debug silicon; validate accelerator workloads and build automated test and regression infrastructure.
- Collaborate across engineering teams to analyze failures, improve design quality, and support production systems.
What they ask for
- Currently has or is pursuing a Bachelor’s or Master’s Degree in a related field.
- Strong programming skills in two or more of: C/C++, Rust, Go, Python, Lua.
- Familiarity with computer architecture; coursework or projects are acceptable.
- Experience with Linux environments and Git, and with system test development, code reviews, source control, build processes, or automated deployments.
Nice to have
- Experience with AWS services or cloud infrastructure; exposure to firmware development (BIOS, BMC, drivers).
- Validation experience or familiarity with PCIe, HBM, GPUs, neural networks, ML hardware architecture, CI/CD, RTL simulation, emulation, or silicon failure analysis and debug.
Pay
129,000.00 USD Annually (starting pay; base salary)
Tools
C/C++, Rust, Go, Python, Lua, Linux, Git, SystemVerilog/UVM
AI focus
Validates next-generation machine-learning accelerators, including performance, accuracy, and reliability with neural-network workloads; supports AI training and inference hardware.
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