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Nvidia Robotics Jobs in Oregon (NOW HIRING)

Nvidia

OR · On-site

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 ...

New

Nvidia

OR · On-site

$139K/yr

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

Senior Validation Engineer

Hillsboro, OR · On-site

Become part of NVIDIA's world-class team as a Senior Validation Engineer in Hillsboro! For 25 years ... Our GPUs power computers, data centers, robots, and autonomous vehicles. Here is your chance to ...

Nvidia

OR · Hybrid

$104K - $143K/yr

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

OR · On-site

NVIDIA is building the future of computer graphics, simulation, robotics, and embodied AI. Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented ...

Nvidia

OR · Hybrid

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

OR · On-site

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

OR

$134K - $180K/yr

In this role, you will collaborate with NVIDIA's cross-functional rack-scale system SW/FW ... robots, and self-driving cars that can perceive and understand the world. Today, we are ...

Nvidia

Senior SRAM Layout Design Engineer

Hillsboro, OR · Hybrid

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

OR · On-site

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 ...

Blue River Technology

OR

$160K - $287K/yr

You will collaborate closely with our robotics team to integrate perception outputs into the ... TensorRT, NVIDIA ModelOpt, and ONNX runtime. * Strong Python programming skills for model ...

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Nvidia Robotics information

See Oregon salary details

$88.8K

$101.5K

$123.2K

How much do nvidia robotics jobs pay per year?

As of Jul 17, 2026, the average yearly pay for nvidia robotics in Oregon is $101,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $107,800.00 per year, depending on experience, location, and employer.

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

To excel in Nvidia Robotics, candidates typically need a strong background in robotics engineering, computer vision, machine learning, and software development, often supported by a relevant degree in computer science, engineering, or a related field. Experience with programming languages such as Python and C++, familiarity with ROS (Robot Operating System), and certifications in AI or robotics platforms are highly valued. Strong problem-solving abilities, teamwork, and adaptability help professionals address complex technical challenges and collaborate effectively. These skills are crucial for developing, optimizing, and deploying advanced robotic systems that meet Nvidia's innovative standards.

What is an Nvidia Robotics job?

An Nvidia Robotics job involves working on cutting-edge robotics technology, including AI-powered perception, planning, and control systems. Engineers in this role develop software and hardware solutions for autonomous machines, leveraging NVIDIA's GPUs, AI frameworks, and simulation tools. These jobs often involve contributing to platforms like Isaac Sim and Jetson to accelerate robotics research and deployment across industries such as manufacturing, logistics, and healthcare.

Is it hard to get hired at NVIDIA?

Getting hired for a robotics-related role at NVIDIA can be competitive due to the company's high standards and advanced technology focus. Candidates typically need strong technical skills, relevant experience, and a solid understanding of robotics, AI, or related fields. The hiring process often involves multiple interviews and technical assessments.

Which robotics company is NVIDIA working with?

NVIDIA collaborates with various robotics companies and research institutions to develop AI and autonomous systems. These partnerships often focus on integrating NVIDIA's hardware and software platforms, such as the Jetson AI edge computing modules, into robotics applications across industries like manufacturing, logistics, and healthcare.

How much do NVIDIA robotics engineers make?

NVIDIA robotics engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior engineers with specialized skills in AI, machine learning, and robotics frameworks tend to earn higher salaries, often supplemented with bonuses and stock options.

How much do NVIDIA robotics teleoperators make?

NVIDIA robotics teleoperators typically earn between $50,000 and $80,000 annually, depending on experience, location, and specific responsibilities. The role often requires technical skills in robotics, remote operation, and troubleshooting, with some positions offering additional compensation for overtime or specialized tasks.

What are some typical responsibilities for a robotics engineer working at Nvidia, and how do they collaborate with other teams?

Robotics engineers at Nvidia are often involved in designing, developing, and testing advanced robotics solutions that leverage the company's cutting-edge AI and GPU technologies. On a daily basis, they may work on software algorithms, integrate sensor and perception systems, and optimize robotic hardware performance. Collaboration is a key part of the role, as engineers frequently interact with colleagues in software development, research, hardware engineering, and product management to bring new robotics platforms to market. Team members also participate in regular cross-functional meetings to align project goals and ensure seamless integration of robotics technologies across products.

What are the most commonly searched types of Nvidia Robotics jobs in Oregon? The most popular types of Nvidia Robotics jobs in Oregon are:
What are popular job titles related to Nvidia Robotics jobs in Oregon? For Nvidia Robotics jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Nvidia Robotics jobs in Oregon look for? The top searched job categories for Nvidia Robotics jobs in Oregon are:
What cities in Oregon are hiring for Nvidia Robotics jobs? Cities in Oregon with the most Nvidia Robotics job openings:
Nvidia Robotics jobs near you
Infographic showing various Nvidia Robotics job openings in Oregon as of July 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 88% Full Time, 3% Part Time, 1% Contract, and 4% Nights. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $101,499 per year, or $48.8 per hour.
Senior Security Architect - Hardware

Senior Security Architect - Hardware

Nvidia

Hillsboro, OR • On-site

Full-time

Posted 9 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

We are now looking for a Senior Security Architect! NVIDIA is seeking a technical leader interested in a chance to define, craft, and guide implementation of HW Root of Trust architecture for our pioneering SoCs and GPUs. You will be expected to take a strong hands-on role, working with diverse teams across both NVIDIA and external partners to meet HW Root of Trust requirements for our client, automotive, gaming and server platforms.

What you'll be doing:

  • Collaborate across the company to guide the direction of platform security and develop a long-term roadmap for a flexible HW Root of Trust solution that will be integrated into our products, working with hardware, software, research and marketing teams.

  • Research, design, and develop architecture solutions meeting internal and external security requirements and standards.

  • Review architectural, microarchitectural and verification specifications published by internal teams to ensure all IPs align with platform security requirements.

  • Work with customers, partners to identify and address security issues and threats.

What we need to see:

  • BS, MS, PhD (or equivalent experience) in Electrical Engineering, Computer Science or Computer Engineering.

  • 8+ years of meaningful relevant work or research experience.

  • Experience with the ASIC design process and architecture of large SoCs or GPUs.

  • Programming and debugging fundamentals across languages such as: C/C++, Verilog, ARM assembly and Python/Perl scripting

  • The ability to work in a dynamic customer focused team and strong communication skills are required.

  • You have directly worked on several of the following:

    • System architecture for mobile, automotive, gaming or server platforms

    • SoC security architecture and security fundamentals including secure boot, measured boot and HW root of trust

    • ARM or RISCV CPU architectures and related security functionality

    • Cryptography: algorithms, standards, implementation and application

    • Security mitigations against physical attacks including fault injection and side channel attacks

    • Remote attestation mechanisms based on TPM or other solutions

    • Digital Rights Management (DRM) standards

    • Security threat modelling and penetration testing

    • Certification standards and compliance testing

NVIDIA is widely considered to be one of the technology world's most desirable employers. Our 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, we are increasingly known as "the AI computing company". We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous architect with a genuine passion for advancing innovative security features into silicon? If so, 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 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 11, 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

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

Year founded

1993

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