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Temporary Nvidia Autonomous Driving Jobs in Oregon

Nvidia

Senior ASIC Timing 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

Manager, Compiler Engineering

Hillsboro, OR · On-site

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 ...

NVIDIA Gruppe

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 ...

Nvidia

OR · On-site

NVIDIA is building the future of computer graphics, simulation, robotics, and embodied AI. Neural ... autonomous-vehicle perception pipelines. * Deep CUDA performance experience, including memory ...

Blue River Technology

OR · On-site

$160K - $287K/yr

... solutions, driving increased profitability with less reliance on scarce labor. We believe that ... From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to ...

SentinelOne

OR · On-site

$107K - $140K/yr

This is a high-autonomy, high-scope role: you will set technical direction for AI infrastructure ... Track record of setting technical direction, driving cross-team initiatives, and mentoring other ...

SentinelOne

OR

$108K - $147K/yr

This is a high-autonomy, high-scope role: you will set technical direction for AI infrastructure ... Track record of setting technical direction, driving cross-team initiatives, and mentoring other ...

Actalent

Vehicle Engineer

Happy Valley, OR

$35 - $40/hr

... and autonomous vehicle platforms. This role involves collaborating cross-functionally with ... The position is crucial in driving first-time build accuracy, predictable quality, and seamless ...

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Temporary Nvidia Autonomous Driving information

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.
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Temporary Nvidia Autonomous Driving jobs near you

Senior Security Architect - Hardware

Nvidia

Hillsboro, OR • On-site

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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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