Manager, GPU Accelerated Data Analytics

NVIDIA's Developer Technology Engineering team is a global network of

world-class experts pushing the boundaries of accelerated computing! We empower

developers with groundbreaking solutions while driving innovation that fuels

NVIDIA's leadership in this transformative field. NVIDIA's accelerated computing

platform is revolutionizing industries. To capitalize on this explosive growth,

we're growing our team and seeking a visionary leader to drive our continued

success. What you’ll be doing: This role offers a unique opportunity to lead a

team of skilled performance engineers collaborating directly with the developer

community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs!

NVIDIA platform is known for its AI dominance in deep learning training and

inference. Nonetheless, modern data centers have hundreds of millions of CPUs

that are used today to run mission critical workloads such as database, data

preprocessing, compression, video transcoding, web servers, and many others.

Help modernize today’s data centers by researching and developing

implementations to help save cost and power using the advanced NVIDIA platform.

Core responsibilities include: 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. NVIDIA is committed to

fostering a diverse work environment and proud to be an equal opportunity

employer. 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. NVIDIA is the world leader in

accelerated computing. NVIDIA pioneered accelerated computing to tackle

challenges no one else can solve. Our work in AI and digital twins is

transforming the world's largest industries and profoundly impacting society.

Learn more about NVIDIA.