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Internship Nvidia Autonomous Driving Jobs in Texas

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning ... A track record of mentoring early career engineers and interns is a bonus With competitive salaries ...

... NVIDIA's world-changing solutions for autonomous vehicles, AI, gaming, mobile systems. What you ... Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand ...

... NVIDIA's world-changing solutions for autonomous vehicles, AI, gaming, mobile systems. What you ... Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand ...

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA ... Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA ... Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Senior CPU Performance Architect

Austin, TX · On-site

$165K/yr

Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

Senior CPU Performance Architect

Austin, TX · On-site

$165K/yr

Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

... NVIDIA's world changing SOCs for deep-learning, autonomous vehicles and robotics, mobile systems ... Driving development of architecture and micro-architecture to improve the state-of-the-art in ...

Showing results 21-40

Internship Nvidia Autonomous Driving information

What is the difference between Internship Nvidia Autonomous Driving vs Intern Nvidia Computer Vision?

AspectInternship Nvidia Autonomous DrivingIntern Nvidia Computer Vision
Required CredentialsEnrolled in Computer Science, Electrical Engineering, or related fields; some knowledge of AI and roboticsEnrolled in Computer Science, Electrical Engineering, or related fields; strong programming skills in Python/C++
Work EnvironmentResearch labs, automotive industry projects, collaborative teamsResearch labs, AI development teams, tech industry settings
Employer & Industry UsageUsed by Nvidia in autonomous vehicle projects and automotive industryUsed by Nvidia in AI and computer vision applications across various sectors

Both internships involve AI, programming, and hardware knowledge, but the Autonomous Driving role focuses on vehicle systems and robotics, while Computer Vision emphasizes image processing and AI algorithms. Candidates should choose based on their interest in automotive applications versus general AI and vision tech.

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Senior AI Compiler Engineer, MLIR

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted 23 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA's invention of the GPU 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, we are increasingly known as "the AI computing company".

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR-based AI compiler that powers NVIDIA's inference engine end to end, with a focus on performance, fast builds, low memory use, and Ahead-of-Time and Just-in-Time usability across data center and edge.

What you'll be doing: Develop MLIR-based graph representations and optimizations for future GPU architectures. Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural features. Define APIs and MLIR dialects, conduct performance optimizations and analysis, implement compiler optimizations and kernel generation for neural networks, and contribute to other general software engineering work.

What we need to see: Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience. 3+ years of relevant work or research experience in performance analysis and compiler optimizations

Experience with compiler technologies such as MLIR, XLA, and LLVM. Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and testing. Ability to work independently, define project goals and scope, and lead your own development efforts.

Strong interpersonal skills and the ability to thrive in a fast-moving, dynamic, product-oriented team. Ways to stand out from the crowd: Understanding of deep learning models, algorithms, and frameworks such as PyTorch and JAX. Experience with GPU kernel generation targeting high performance and fast build times.

Proficiency in GPU architecture with CUDA or OpenCL programming experience. A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.

If you're a creative and autonomous engineer with a real passion for technology, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 18, 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.


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US