Manager, GPU Accelerated Data Analytics

What You'll Do

• Driving Innovation: This involves researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments.
• These workloads are difficult to parallelize and major performance speed-ups require inventing new algorithms and working side-by-side with architects to influence hardware.
• Technical Leadership: Drive technical excellence by leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams.
• Prioritize and lead key initiatives that advance the performance and adoption of NVIDIA’s hardware and software platforms.
• Growing and Mentoring Your Team: Build a distributed world-class team of performance engineers.
• Grow domain, hardware and software expertise within your team to strengthen external developer engagements.
• Foster a collaborative and innovative culture that encourages idea sharing, empowers team members, and provides opportunities for professional growth.
• Collaboration and Communication: Collaborate closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making, program management, and successful initiative implementation.
• Advocate for next-generation hardware and software products that address the evolving needs of the developer community.
• What we need to see: An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science degree (or equivalent experience). 7+ overall years of relevant experience with 4+ years in a technical role and 3+ years of experience in an engineering leadership role.
• Outstanding leadership, strong cross-functional collaboration, and impactful project execution.
• Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA.
• Programming fluency in C/C++ with a deep understanding of algorithms and software development.
• In-depth expertise with CPU and GPU architecture fundamentals.
• Strong algorithmic skills and proven experience implementing low-level optimizations for enterprise applications.
• A track record of building high-performing teams by attracting and hiring top engineering talent.
• Excellent communication and presentation skills.
• Demonstrated ability to successfully plan, lead, and execute high-impact initiatives.
• Ways to stand out from the crowd: A PhD in a relevant field is highly valued.
• Experience leading engineering teams to design performance-first prototypes.
• Strong background in distributed high-performance data analytics including SQL or vector databases.
• Expertise in modern data center network and storage technologies.
• NVIDIA is widely considered to be one of the technology industry's most desirable employers.
• We have some of the most forward-thinking and hardworking people in the world working with us.
• Come join our team of brilliant minds leading the way in accelerated computing.
• Are you a creative and independent computer scientist with a passion for parallel computing? If so, we invite you to apply. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.
• You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until March 21, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.