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Temporary Nvidia Autonomous Driving Jobs in Oregon

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 seeks a Cloud Sales Enablement Manager to guide strategic collaboration and joint go-to ... Experience driving the full GTM lifecycle-from large-scale event delivery and developer activations ...

Solutions Architect, HPC Systems Engineer

OR · On-site +1

$63 - $83/hr

As part of the NVIDIA SA organization, you will be driving our end-to-end technology solutions ... If you're creative and autonomous, we want to hear from you. Your base salary will be determined ...

Senior Deep Learning Software Engineer, Inference

OR · On-site +1

$122K - $161K/yr

... driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA ... If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear ...

Senior Software Engineer, Networking DGX Cloud

OR · On-site +1

$122K - $161K/yr

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a ... If you're creative and autonomous, we want to hear from you. What you'll be doing: Developing ...

Senior Software Architect, DriveOS

OR · On-site +1

$129K - $175K/yr

DriveOS is the software platform that powers millions of autonomous vehicles and other intelligent ... With your help, we'll be delivering advanced solutions to build safe and reliable self driving ...

Senior Software Engineer - Streaming

OR · On-site +1

$122K - $161K/yr

NVIDIA's GeForce Now, the next-generation gaming service powered by NVIDIA GPUs in the cloud ... driving this technology to its edge. Do you understand various streaming protocols. Can you solve ...

At NVIDIA, we believe that inference will be driving increasing amount of compute, and as the ... Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated ...

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 is seeking extraordinary power engineers to design hardware accelerators and processors on ... Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know ...

Senior AI Compiler Engineer, MLIR

OR · On-site +1

$122K - $161K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

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 ...

Showing results 41-60

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.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in Oregon?

The most popular types of Nvidia Autonomous Driving jobs in Oregon are:

What are popular job titles related to Temporary Nvidia Autonomous Driving jobs in Oregon?

For Temporary Nvidia Autonomous Driving jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Temporary Nvidia Autonomous Driving jobs in Oregon look for?

The top searched job categories for Temporary Nvidia Autonomous Driving jobs in Oregon are:

What cities in Oregon are hiring for Temporary Nvidia Autonomous Driving jobs?

Cities in Oregon with the most Temporary Nvidia Autonomous Driving job openings:

Senior Account Manager

Nvidia

OR • On-site, Remote

Full-time

Posted 4 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 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. Amazon is one of NVIDIA's most strategic global customers, making this one of the most impactful customer-facing roles in the company. We are looking for a driven leader who thrives at the intersection of AI, business development, and engineering.

In this role, you will help build the future of AI by influencing how one of the groundbreaking companies adopts NVIDIA technologies. You will work alongside product, engineering, marketing, and executive leaders to accelerate the development of solutions that operate at global scale. What You'll Be Doing: Develop deep expertise in NVIDIA's hardware, software, AI platform, and go-to-market strategy.

Build a detailed understanding of Amazon's and AWS's business priorities to find opportunities that speed up innovation and time to market. Build executive and technical partnerships across the Amazon ecosystem and its cloud services division to find strategic AI opportunities. These opportunities span training and inference, data processing, physical AI, and cloud workloads.

Lead customer initiatives from strategy to execution by driving defined workstreams, establishing goals, owners, and success metrics, while partnering with solutions architects, developers, engineering, and product management to accelerate workloads from discovery through production deployment and expansion. Serve as a trusted business advisor by leading customer relationships and promoting NVIDIA technologies that will improve as well as speed up customer outcomes. Provide customer feedback to influence partnership direction.

Seek sophisticated challenges independently. Proactively identify and raise issues when broader leadership involvement is needed. Strengthen the broader account team by sharing customer insights and improving operational guidelines.

Collaborate with partners across NVIDIA's go-to-market organization. These efforts help scale successful engagements across long-tail opportunities. What We Need to See: BS or BA degree or equivalent experience 8+ years selling technology into strategic, named accounts.

A real passion for getting things done in a dynamic and cross-collaborative environment. Proven record growing strategic accounts through executive influence, technical leadership, and measurable business outcomes. Experience with Amazon and the associated cloud offerings through direct employment, account ownership, or significant partnership.

Validated understanding of how engineering, product, field, and business groups operate and make decisions. Strong technical skills and business insight, including the ability to understand customer architectures, workload requirements, competitive landscapes, AI infrastructure, GPU economics, performance optimization, TCO, energy efficiency, and workload placement. A highly collaborative leadership style, characterized by accountability, integrity, good judgment, early risk identification, mentorship, continuous learning, and a track record of elevating team performance through knowledge sharing and operational excellence.

Ways to Stand Out from the Crowd: Deep familiarity with NVIDIA's AI software stack, including CUDA, TensorRT-LLM, NeMo, RAPIDS, Dynamo, Triton, or Isaac. Experience driving the implementation of AI platforms within Amazon, AWS, or another hyperscale cloud provider. Experience bringing AI workloads from experimentation into production at enterprise or hyperscale scale Proven passion for mentoring others, building developer communities, and helping customers succeed with emerging AI technologies.

NVIDIA is 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. If you're creative and autonomous, we want to hear from you.

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 200,000 USD - 304,750 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 August 4, 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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Pay

Benefits

Hours and flexibility

Workplace

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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