Senior Manager, Accelerated Compute Systems

Reposted 22 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
272K-426K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead a team of architects at NVIDIA to innovate in accelerated computing through collaboration and optimization of hardware and software systems.
Summary Generated by Built In

We are now looking for a Senior Manager for Accelerated Compute Systems!

NVIDIA is currently hiring for a Sr Technical Management position focused on Accelerated Compute Systems. We are pioneering software and system architectures that power high-performance computing, scientific computing, machine learning, AI, datacenter, and automotive platforms. This role offers a unique opportunity to make a meaningful impact in a fast-paced, innovation-driven environment. Join NVIDIA and lead the future of Accelerated Computing

What you’ll be doing:

  • Leading a team of accelerated compute architects.

  • Collaborating closely with hardware design, software engineering, product, and research teams to shape the direction of NVIDIA’s computing platforms.

  • Conducting in-depth performance analysis and optimization for current and next-generation NVIDIA GPUs.

  • Designing and refining core parallel algorithms, data structures, and reference implementations for GPU acceleration.

  • Exploring the interaction between hardware and software architectures to improve programming models and application performance.

  • Engaging in software-hardware co-design through deep dives into accelerated computing applications.

What we need to see:

  • A Bachelors Degree (or equivalent experience) in Computer Science, Electrical Engineering, or related field.

  • 10+ overall years of industry experience, with at least 4 of those years in a management role

  • Strong foundation in mathematics, especially linear algebra and numerical methods.

  • Passion for performance optimization and system-level thinking.

  • Experience with GPU programming models such as CUDA or OpenCL.

  • Familiarity with multi-node communication APIs like MPI or OpenSHMEM/NVSHMEM

  • Proficiency in C/C++, with a solid grasp of software design, algorithms, and programming techniques.

  • Experience with threading APIs for multicore CPUs and Unix-style IPC

  • Working knowledge of Python.

  • Excellent communication, organization, and problem-solving skills.

NVIDIA is widely recognized as one of the most desirable employers in the tech industry, and is increasingly known as “the AI computing company." We’re home to some of the brightest minds in the world, working together to push the boundaries of what’s possible.

Are you creative, collaborative, and excited by the challenge of pushing architectures to their limits? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 13, 2025.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.

Top Skills

C/C++
Cuda
Mpi
Nvshmem
Opencl
Openshmem
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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