Vacancy is archived. Applications are no longer accepted.
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Linux @ 4 Leadership @ 4 Cloud Computing @ 4 GPU @ 4Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, they are tapping into the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars. The environment is diverse and supportive, inspiring employees to do their best work.
Responsibilities
- Collaborate with engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures.
- Define and deliver key engineering roadmaps, driving collaboration with cluster leads, systems engineers, and other program managers.
- Coordinate programs for internal and external software projects, turning planning into smooth execution for next generation at-scale systems.
- Monitor bugs, feature requests, and conduct deep dives to ensure smooth collaboration across NVIDIA's engineering teams.
- Communicate internally with leadership to prioritize and address critical issues for the success of major customers.
Requirements
- BS in Applied Science or Engineering or equivalent experience; Masters preferred.
- 8+ years of overall experience.
- Experience with accelerated computing systems, high-performance computing, and Linux-based operating systems.
- Passion for solving challenging technical problems.
- Strong teamwork and interpersonal skills to coordinate across many teams.
Ways to Stand Out
- Understanding of systems software, particularly between silicon and Linux userspace.
- Experience with large-scale cloud computing systems.
- Background in high-performance computing or deep learning research communities.
Compensation and Benefits
- Base salary range: 160,000 USD - 304,750 USD.
- Eligibility for equity and benefits.
NVIDIA is an equal opportunity employer committed to diversity.