GlossGenius is looking for a Silicon System and Software Integration Engineer to help shape the future of AI/ML hardware acceleration. You will drive TPU technology that powers demanding AI/ML applications by verifying complex digital designs and ensuring their integration within AI/ML-driven systems.
What You'll Do
- Review chip specification and design, develop the integration plan with software and system partners, and coordinate hardware and software delivery to demonstrate functionality.
- Integrate and validate hardware and software designs, including first-party and third-party IPs, assist bringup of machine learning compute features, and develop firmware to help validate hardware functionality.
- Utilize hardware/software co-simulation methodologies leveraging Register-Transfer Level (RTL) simulation, Emulation, FPGA environments, architectural simulators, or performance models as required to correlate performance.
- Develop detailed test plans based on design specifications coordinated with a cross-functional team.
- Assist debug discussions with Design, Design Verification, and Architecture teams to root-cause functional failures and performance issues through the product development cycle, while improving validation coverage and sign-off processes.
What We're Looking For
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 2 years of experience in two or more of the following areas: computer architecture, embedded firmware, ASIC design or verification, integration and enablement of first-party or third-party IPs.
- Experience in hardware/software integration or validation.
- Experience with Register-Transfer Level (RTL) development, design verification, or evaluation.
Nice to Have
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with C++/Python software design principles.
- Experience integrating hardware/software systems.
- Experience developing firmware for embedded systems or accelerators.
- Experience in debugging firmware using simulation tools.
- Knowledge of Real-Time Operating System (RTOS) internals.
Technical Stack
- C++, Python
- RTL, FPGA, Emulation
- RTL simulation, Architectural simulators, Performance models
Team & Environment
You will be part of the Tensor Processing Unit (TPU) team and the AI and Infrastructure team.
Benefits & Compensation
- Compensation: $138,000-$198,000 + equity
- Bonus
- Equity
- Benefits (details via link)
GlossGenius is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.
