Amazon
SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
$154K–$215K
Austin, TX · Full-time · Posted Jul 28, 2026
- Education
- Bachelor's degree in Electrical Engineering or a related field.
About the job
Develop and verify machine-learning chip functionality through pre-silicon hardware/software co-development and bare-metal SoC software.
What you'll do
- Collaborate with architecture, design, and emulation teams to build silicon functionality.
- Write bare-metal software to verify end-to-end SoC functionality.
- Test subsystem functionality and performance and debug issues across the design.
What they ask for
- Bachelor's degree in Electrical Engineering or a related field.
- Experience identifying bugs in architecture, algorithms, functionality, and performance, with strong debugging skills.
- Experience verifying logic at multiple levels, from IP blocks to SoCs to full-system testing.
Nice to have
- Master's degree in Electrical or Communications Engineering or a related field.
- Experience with formal verification techniques, including abstraction and end-to-end checking; industry-standard tools and Python or Perl for automation.
Pay
153,600.00 - 215,000.00 USD annually (base salary)
Tools
Python, Perl
AI focus
Pre-silicon hardware/software co-development and verification for machine-learning chips.
Model-written summary · the original posting is authoritative