Senior Compiler Engineer, Software - Deep Learning Accelerator

Posted 10 Days Ago
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Santa Clara, CA
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Compiler Engineer, you will design and maintain the Deep Learning Accelerator compiler, optimize neural networks, and collaborate with hardware architecture teams. You will also be responsible for performance modeling and managing the DLA software stack.
Summary Generated by Built In

We are searching for an extraordinary Sr. Compiler Engineer for an exciting and fun role in our Deep Learning Accelerator (DLA/NPU) team. Our team is responsible for the DLA compiler toolchain stack as well as the end-to-end DLA system sw stack including user mode drivers, kernel mode drivers, and the firmware. DLA supports a growing range of deep-learning use-cases, ranging from self-driving cars, smart embedded systems, video game frameworks, and content creation.

What you'll be doing:

  • Design and maintain the Deep Learning Accelerator compiler for next generation NVIDIA hardware

  • Develop advanced techniques for optimizing neural networks

  • Collaborate with members of hardware architecture teams

  • Design and maintain performance and precision modeling

What we need to see:

  • You should have a Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)

  • 7+ years of experience developing and leading complex deep learning or compiler software projects

  • Strong interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines

  • Experience designing, developing, and maintaining complex software stacks

  • Need to demonstrate strong C and C++ programming skills with experience working with large codebases

  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

  • You will have strong teamwork, interpersonal, and problem solving skills

Ways to stand out from the crowd:

  • Experience with deep learning software packages, such as ONNX, PyTorch, and TensorFlow.

  • Designing and implementing drivers programming rich HW acceleration engines and software verification testplans.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 184,000 USD - 356,500 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.

Top Skills

C
C++
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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