Amazon
Sr. Engineer, Silicon Validation , Annapurna Labs
$185K–$288K
Austin, TX +1 · Senior · Full-time · Posted Jul 26, 2026
- Location
- Austin, TX
Cupertino, CA - Experience
- 6+ years in verification or chip design; 2+ years in HW/SW co-design-based testing; 3+ years verifying AI acceleration engines.
About the job
Leads software-driven pre-silicon validation and testing for Trainium and Inferentia AI accelerators, ensuring functional performance and silicon quality across hardware and software layers.
What you'll do
- Develop, run, and debug software-based tests, including unit, end-to-end, and neural-network-layer testing, for pre-silicon validation and emulation.
- Scale verification infrastructure across pre-silicon and emulation teams and collaborate with architecture, design, verification, validation, and software teams.
- Guide technical strategy across verification stages and product lines, mentor engineers, and influence architectural decisions.
What they ask for
- 6+ years of experience as a verification or chip design engineer.
- 2+ years of experience in HW/SW co-design-based testing.
- Proven experience developing SW-based tests for ML accelerator SOCs and 3+ years verifying AI acceleration engines.
- Knowledge of computer architecture and AI acceleration HW architecture; deep understanding of hardware verification methodologies and coverage analysis; experience testing on emulation platforms.
Nice to have
- Master’s in computer Science, Electrical Engineering, or related field.
- Experience developing validation frameworks, test automation infrastructure, or debug tools; ability to influence senior leadership on technical investments and priorities.
Pay
213,000.00 - 287,500.00 USD annually (base salary); 185,200.00 - 250,000.00 USD annually (base salary)
Tools
Trainium, Inferentia, Neuron, RTL
AI focus
Develops and validates software-driven tests for AI acceleration engines, including neural network layers and ML accelerator systems.
Model-written summary · the original posting is authoritative