Senior Compiler Engineer - PVA

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement compiler features for the Programmable Vision Accelerator (PVA) SDK. Collaborate with application teams, develop production-quality compiler tools, leverage Python/C/C++ and parallel architecture optimizations, and drive support for CUDA and domain-specific languages.
Summary Generated by Built In

NVIDIA is now looking for a Senior Compiler Engineer to join our Programmable Vision Accelerator (PVA) Tools Team!

Are you ready to push the boundaries of what’s possible? NVIDIA has revolutionized parallel computing, and the development of the CUDA programming model has fueled its power. NVIDIA developed a powerful computing platform (PVA) focused on vision and deep learning applications. PVA is being used in many of the largest autonomous vehicle and robotics projects in the world. Join us in solving real-world problems with innovative and groundbreaking compiler development!

What you'll be doing:

  • Crafting and implementing new features for the PVA platform and SDK.

  • Collaborating with application teams to address interesting and relevant compilation challenges.

  • Working closely with team members on projects related to compiler development.

  • Bringing to bear existing technologies and other available resources in the compiler development process.

  • Driving the future of Python, CUDA, and other domain specific languages.

What we need to see:

  • Bachelor’s Degree in Computer Science, ECE, or related field (Ph.D. or Master’s preferred) or equivalent experience.

  • 8+ years of experience developing production-quality compilers and tools.

  • Deep understanding of compiler internals, front-ends, and optimizers.

  • Strong programming fundamentals, especially in C/C++ and Python, with knowledge of parallel computer architectures and optimizations.

Ways to stand out from the crowd:

  • Experience with LLVM and MLIR.

  • Familiarity with C++, CUDA.

  • Knowledge and experience with DL networks.

  • Passion for compiler development and a motivation to work on groundbreaking technologies!

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We invite you to join our team with experienced individuals from around the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • Bachelor's degree in Computer Science, ECE, or related field (or equivalent experience)
  • 8+ years developing production-quality compilers and tools
  • Deep understanding of compiler internals, front-ends, and optimizers
  • Strong programming fundamentals in C and C++
  • Strong programming fundamentals in Python
  • Knowledge of parallel computer architectures and optimizations
  • Master's or Ph.D. in related field
  • Experience with LLVM and MLIR
  • Familiarity with CUDA
  • Knowledge and experience with deep learning networks

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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