Post-Silicon Systems Validation Engineer I, Annapurna Labs
Core
Post-silicon validation of next-generation machine learning accelerators for AWS cloud infrastructure, covering the full stack from silicon bring-up to production support.
Role type
Post-Silicon Systems Validation Engineer
Builds
Custom silicon ML accelerators, validation infrastructure, and automated regression frameworks for AWS data centers.
Domain
Cloud infrastructure, AI/ML hardware, semiconductor validation
Deliverable
production ML models | product features
Required skills
Python, C/C++, Rust, Go, computer architecture, Linux, Git, system test development, automated deployments
Preferred skills
AWS services, firmware development (BIOS/BMC/drivers), PCIe/HBM/GPU validation, RTL simulation/emulation, ML hardware architecture
Technologies
SystemVerilog, UVM, VCS, Questa, Xcelium, Palladium, Zebu, Veloce, PCIe, HBM, GPUs
Responsibilities
Develop validation strategies and test plans for functional/performance/power/stress testing; execute tests from simulation/emulation to physical silicon; conduct hands-on silicon bring-up and debug; validate ML accelerator performance with real-world workloads; build CI/CD and automated regression frameworks; collaborate on failure triage and root cause analysis; support production systems and field issues.
Seniority
Mid-level, hands-on IC