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Temporary Nvidia Autonomous Driving Jobs in Portland, OR

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

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Temporary Nvidia Autonomous Driving information

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How much do temporary nvidia autonomous driving jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for temporary 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 a temporary Nvidia autonomous driving job?

Temporary Nvidia Autonomous Driving jobs are short-term positions at Nvidia focused on developing, testing, or supporting autonomous vehicle technologies. These roles may involve software engineering, data analysis, system testing, or support functions related to self-driving car platforms. Temporary roles are typically project-based, offering opportunities to work on cutting-edge artificial intelligence and robotics applications within the autonomous driving sector. Such positions provide valuable experience in the fast-evolving field of automated vehicles, even if they are not permanent.

What skills and qualifications are needed for a temporary Nvidia autonomous driving engineer?

To excel as a Temporary Nvidia Autonomous Driving Engineer, you need strong programming skills (especially in C++ and Python), a solid background in robotics or computer vision, and typically a degree in computer science, engineering, or a related field. Experience with autonomous vehicle platforms, Nvidia DRIVE, deep learning frameworks (like TensorFlow or PyTorch), and familiarity with sensor fusion technologies are highly valued. Excellent problem-solving abilities, teamwork, and adaptability are crucial soft skills for integrating new technologies and collaborating across multidisciplinary teams. These competencies ensure safe, innovative solutions in the rapidly evolving field of autonomous vehicles.

What are common challenges faced by a temporary Nvidia autonomous driving specialist, and how can applicants prepare for them?

Temporary specialists in Nvidia's Autonomous Driving division often encounter fast-paced project timelines and rapidly evolving technical requirements. Adapting quickly to new tools, frameworks, and proprietary systems is essential, as is a willingness to collaborate across multidisciplinary teams such as software engineering, data annotation, and hardware integration. Applicants can prepare by demonstrating strong foundational knowledge in machine learning, computer vision, and robotics, as well as effective communication skills to navigate a dynamic, innovative environment.

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

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What cities near Portland, OR are hiring for Temporary Nvidia Autonomous Driving jobs?

Cities near Portland, OR with the most Temporary Nvidia Autonomous Driving job openings:

Principal CPU Architect - High-Performance and Physical Design

Nvidia

Hillsboro, OR • On-site

$181K/yr

Full-time

Posted 17 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

We are seeking a senior CPU architect with deep experience designing high-performance, high-frequency server-class processors. This role focuses on the interaction between CPU architecture, power-performance optimization, and physical design. The successful candidate will understand how microarchitectural and RTL decisions translate into frequency, power delivery, timing, thermal, area, and implementation constraints.

The role spans CPU architecture, RTL, standard-cell and circuit-level tradeoffs, physical design, process technology, and advanced packaging. What you'll be doing: Bridge the gap between architecture, RTL implementation, and physical design. Serve as subject matter expert on power delivery/regulators, power gating, di/dt, and thermal throttling.

Analyze power trade-offs for different die stacking and packaging proposals. Propose and drive improvements related to high-frequency design and power methodology for our custom CPU cores. What we need to see: BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

15 or more years of relevant experience. Extensive background in CPU architecture and high-frequency server CPU design. Solid understanding of power dissipation, delivery, and efficiency concepts.

Detailed understanding of process technologies and circuit design. Knowledge of tradeoffs related to advanced packaging techniques. Well versed in power management techniques that span the entire stack from SW, Architecture, RTL, VLSI, and process.

Ways to stand out from the crowd: PhD or research experience. Advanced knowledge in the area of physical design. Knowledge of GPU and SOC design.

Strong communication skills. NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.

With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

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 - 431,250 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 24, 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