Post-Silicon Systems Validation Engineer, Annapurna Labs
Core
Validating next-generation machine learning accelerators and custom silicon for AWS cloud infrastructure, spanning the full stack from RTL simulation to physical silicon bring-up and production support.
Role type
Post-silicon systems validation engineer (ML accelerators)
Builds
Custom silicon ML boards and servers for AWS data centers
Domain
Cloud infrastructure, AI/ML hardware, semiconductor validation
Deliverable
production ML models | product features
Required skills
Python, C/C++, computer architecture, ML fundamentals, PCIe/HBM validation, silicon bring-up/debug, statistical analysis
Preferred skills
Rust, Go, firmware development, CI/CD, EDA simulations, PyTorch/JAX experience
Technologies
SystemVerilog, UVM, VCS, Questa, Xcelium, Palladium, Zebu, Veloce, oscilloscopes, logic analyzers, protocol analyzers
Responsibilities
Develop validation strategies and test plans for functional, performance, and stress testing; execute complex test plans from emulation to physical silicon; conduct hands-on silicon bring-up and debug; validate ML accelerator performance with real-world workloads; build automated regression frameworks; collaborate on failure triage and root cause analysis; support production systems in AWS data centers
Seniority
Mid-level, hands-on IC
