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Nvidia Autonomous Driving Jobs in Portland, OR (NOW HIRING)

NVIDIA's invention of the GPU sparked the growth of the PC gaming market, redefined modern computer ... Do you love the inherent challenges of complex software projects and driving systemic improvements ...

Manager, Compiler Engineering

Hillsboro, OR · On-site

$224 - $356.50/hr

NVIDIA's invention of the GPU sparked the growth of the PC gaming market, redefined modern computer ... Do you love the inherent challenges of complex software projects and driving systemic improvements ...

Showing results 21-29

Nvidia Autonomous Driving information

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How much do nvidia autonomous driving jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for nvidia autonomous driving in Portland, OR is $22.67, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $22.93 per hour, depending on experience, location, and employer.

What is an Nvidia Autonomous Driving job?

An Nvidia Autonomous Driving job involves working on AI, machine learning, and software engineering to develop autonomous vehicle technology. Employees in these roles contribute to perception, planning, simulation, and hardware acceleration to create safer and more efficient self-driving systems. Positions range from software engineers and data scientists to hardware specialists, all focusing on innovation in autonomous mobility.

What types of projects or technologies do employees typically work on within Nvidia Autonomous Driving roles?

Team members in Nvidia Autonomous Driving roles typically work on cutting-edge projects involving development of perception, localization, mapping, planning, and control systems for autonomous vehicles. They often engage with advanced sensor technologies such as lidar, radar, and cameras, and contribute to both software and hardware integration. Collaboration is frequent, with cross-functional work spanning research, engineering, simulation, and validation teams to ensure that autonomous driving solutions are robust and safe. This environment offers ample opportunities for skill expansion and career growth as you work on real-world applications that are transforming the transportation industry.

What are the key skills and qualifications needed to thrive in the Nvidia Autonomous Driving position, and why are they important?

To thrive in an Nvidia Autonomous Driving role, you need strong foundations in computer science, robotics, sensor fusion, machine learning, and software engineering, typically supported by a degree in engineering or related fields. Expertise with tools such as Python, C++, ROS (Robot Operating System), and experience with simulation environments and deep learning frameworks like TensorFlow or PyTorch are commonly required. Effective communication, collaboration, and problem-solving skills help professionals excel while working on complex, multidisciplinary teams. These abilities are crucial for driving innovation, ensuring system reliability, and accelerating the safe deployment of autonomous vehicle technologies.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in Portland, OR?

The most popular types of Nvidia Autonomous Driving jobs in Portland, OR are:

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For Nvidia Autonomous Driving jobs in Portland, OR, the most frequently searched job titles are:

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The top searched job categories for Nvidia Autonomous Driving jobs in Portland, OR are:

Infographic showing various Nvidia Autonomous Driving job openings in Portland, OR as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $47,149 per year, or $22.7 per hour.

Senior Physical Design Methodology Engineer, PPA Fusion Compiler

Nvidia

Hillsboro, OR • On-site

Full-time

Re-posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is looking for best-in-class Senior Physical Design Methodology Engineer, PPA Fusion Compiler to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take part in crafting our groundbreaking and innovative chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.

What you will be doing:

  • Developing Efficient physical design methodologies for implementation of graphics processors and SOCs.

  • Key responsibility includes developing unique and creative solutions to the state-of-the-art physical design problems to improve PPA

  • Knowledge and experience to formulate and develop with ML-based solutions

  • Participate in developing flow and tool methodologies for P&R, timing analysis and closure, convergence in IR/Signal-EM, power and noise analysis and back-end verification across multiple projects along with chip floorplan, power and clock distribution, chip assembly.

  • Data based analysis and algorithmic solutions for PPA check and improvement.

What we need to see:

  • MS in Electrical,Computer Engineering, computer science (or equivalent experience)

  • 10+ years' experience in Physical Design Engineering with ML based solution development experience

  • Proven implementation of ML-based solutions

  • Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification.

  • Staring knowledge of Physical design with convergence in timing/EM/IR with best PPA

  • Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence.

  • Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management.

  • Solid understanding of standard industry PnR tools and analysis tools, Capable of extensive scripting to check and improve PPA

NVIDIA is widely considered to be the leader of AI computing, and 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 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.

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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

Year founded

1993