Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 3 Jenkins @ 3 Python @ 6 Communication @ 4 Debugging @ 7 GPU @ 4Details
This role is an opportunity to join a world-class team and shape the future of GPU technology. You will work in an inclusive, collaborative environment focused on delivering high-performance GPU products through verification, binning strategy, and yield recovery.
Responsibilities
- Participate in defining the binning strategy and facilitating yield recovery for GPU products.
- Define, build, and drive verification test plans for specific GPU products to ensure outstanding performance.
- Express rules that promote performant products as constraints for the Z3 SMT solver and help develop and refine a C++ library used in this flow.
- Collaborate with Architecture, ASIC, DV, Emulation, and Infrastructure teams to achieve integration and meet project timelines.
- Execute verification test plans reliably, triage failures, and drive fixes/bugs to closure.
- Manage project timelines and align teams for smooth progression and execution.
- Monitor and anticipate resource requirements throughout the verification process.
- Continuously improve planning and process flow by defining and tracking metrics.
- Research and apply AI tools to streamline and optimize workflow.
Requirements
- Bachelor’s degree (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or related field.
- 5+ years of relevant work experience.
- Proven experience in architecture validation or full-chip verification environments.
- Solid background in Computer Architecture, with experience in binning and yield recovery.
- Proficient programming skills in C++ and C; scripting experience such as Python is expected.
- Experience using the Z3 SMT solver is preferred (not required).
- Familiarity with build systems (CMake, make), toolchains (GCC, MSVC), and libraries (STL, Boost).
- Familiarity with CI systems and container/tooling such as Docker and Jenkins.
- Strong problem-solving and debugging skills; demonstrated ability to drive issues to closure.
- Effective communication and ability to work in distributed teams.
Compensation
- Base salary range by level:
- Level 3: 148,000 USD - 235,750 USD
- Level 4: 184,000 USD - 287,500 USD
- Eligible for equity and benefits.
Additional Information
- Applications accepted at least until August 3, 2025.
- NVIDIA is an equal opportunity employer and values diversity in its workforce.