Manager, Developer Technology, Data Compression

3 Months ago • 7-10 Years • Research & Development • $224,000 PA - $425,500 PA

Job Summary

Job Description

NVIDIA seeks a Manager, Developer Technology, Data Compression to lead a team in optimizing performance for complex data-intensive workloads. Responsibilities include driving innovation in GPU compression techniques, leading code reviews, mentoring team members, collaborating with cross-functional teams, and advocating for next-generation hardware and software. The role requires strong leadership, expertise in GPU parallel programming (CUDA), C/C++ fluency, and deep understanding of CPU/GPU architecture and compression algorithms. The ideal candidate will have a proven track record of building high-performing teams and executing high-impact initiatives.
Must have:
  • MS/PhD in CS or related field
  • 7+ years experience (4+ tech, 3+ leadership)
  • GPU parallel programming (CUDA)
  • C/C++ programming fluency
  • Compression algorithm expertise
  • Team building and leadership skills
Good to have:
  • PhD in relevant field
  • Experience with distributed databases
  • Compression for deep learning
  • Understanding of information theory
Perks:
  • Equity
  • Benefits

Job Details

NVIDIA's Developer Technology Engineering team is a global network of world-class experts pushing the boundaries of accelerated computing! We empower developers with cutting-edge solutions while driving innovation that fuels NVIDIA's leadership in this transformative field. Our 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:  

Lead a high-performing team of technologists collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs! This involves researching, analyzing, and developing state-of-the-art techniques to optimize performance for complex data-intensive workloads and large applications. Core responsibilities include:  

  • 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: 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 HW and SW 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 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. 

 

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

The base salary range is 224,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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