Nvidia Manager Developer Technology Data Compression 

United States, Texas 

625392140

US, CA, Santa Clara

US, Remote

We empower developers with cutting-edge

be doing:

Lead a high-CPUs and GPUsThis involves researching, analyzing, and developing state-of-the-art techniques toperformance for complex data-intensive workloads and large applications.Core responsibilities

• Driving Innovation:Compression on GPU is a very challenging area, since many traditional algorithms were not designed for GPU and are inherently difficult to parallelize. We are finding new applications and building new formats that are GPU-friendly and it's an opportunity to create novel algorithms and implementations to offer the larger eco-system of developers.

• Technical Leadership:Drive technical excellence by actively participating in design decisions, leading code reviews, and effectively communicating technical solutions to multi-functional teams. Prioritize and lead key initiatives that advance the performance and adoption of our platforms.

• Growing and Mentoring Your Team:Building a distributed world-class team is paramount. Foster a collaborative and creative culture that encourages idea sharing, empowers team members, and provides opportunities for professional growth.

• Collaboration and Communication:

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 and applying compression 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.

• A background in optimizing the performance of distributed database systems and frameworks (e.g. production in-memory database or Spark).

• Experience applying compression for deep learning training or inference.

• Excellent understanding of informational theory and linear algebra.