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Temporary Nvidia Autonomous Driving Jobs in Colorado

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Troubleshoot complex field and lab issues across hardware/software boundaries, driving root cause ...

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Troubleshoot complex field and lab issues across hardware/software boundaries, driving root cause ...

Packaging Temporary Worker

Golden, CO

$16.25 - $19.50/hr

Responsible for autonomous maintenance of valves, motors, pumps, filter and gear boxes including ... Previous experience driving a forklift or willingness to be trained to operate a forklift * Clear ...

Responsible for autonomous maintenance of valves, motors, pumps, filter and gear boxes including ... Previous experience driving a forklift or willingness to be trained to operate a forklift * Clear ...

Packaging Temporary Worker

Golden, CO

$15.50 - $19/hr

Responsible for autonomous maintenance of valves, motors, pumps, filter and gear boxes including ... Previous experience driving a forklift or willingness to be trained to operate a forklift * Clear ...

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Troubleshoot complex field and lab issues across hardware/software boundaries, driving root cause ...

Responsible for autonomous maintenance of valves, motors, pumps, filter and gear boxes including ... Previous experience driving a forklift or willingness to be trained to operate a forklift

NVIDIA, Stripe, DoorDash, OpenAI, Moderna, Workday, Ulta, Target, and more. Come build with us! The ... Experience driving projects autonomously through ambiguity (scoping to delivery) * Experience ...

Responsible for autonomous maintenance of valves, motors, pumps, filter and gear boxes including ... Previous experience driving a forklift or willingness to be trained to operate a forklift * Clear ...

Responsible for autonomous maintenance of valves, motors, pumps, filter and gear boxes including ... Previous experience driving a forklift or willingness to be trained to operate a forklift

Deployment Strategist (USA)

Denver, CO

$125K - $161K/yr

Unit8 is dedicated to driving AI adoption in non-digital industries , accelerating their digital ... Pioneering role and autonomy: As a key member of our US growth, you will have the freedom to shape ...

We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors ... Physical demands -the physical demands of the job, including bending, sitting, lifting and driving.

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Temporary Nvidia Autonomous Driving information

What are Temporary Nvidia Autonomous Driving jobs?

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 are the key skills and qualifications needed to thrive as a Temporary Nvidia Autonomous Driving Engineer, and why are they important?

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 some 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 Colorado? The most popular types of Nvidia Autonomous Driving jobs in Colorado are:
What are popular job titles related to Temporary Nvidia Autonomous Driving jobs in Colorado? For Temporary Nvidia Autonomous Driving jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Temporary Nvidia Autonomous Driving jobs in Colorado look for? The top searched job categories for Temporary Nvidia Autonomous Driving jobs in Colorado are:
What cities in Colorado are hiring for Temporary Nvidia Autonomous Driving jobs? Cities in Colorado with the most Temporary Nvidia Autonomous Driving job openings:
Infographic showing various Temporary Nvidia Autonomous Driving job openings in Colorado as of July 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Temporary. Highlights an 80% In-person, and 20% Remote job distribution.

Developer Technology Engineer, AI - New College Grad 2026

Nvidia

Boulder, CO

Full-time

Posted 10 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 241 rated software companies


Job description

Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model - GPU deep learning - that enables computers to learn from data and write software that is too complex for people to code.

What you will be doing:

  • Study and develop state of the art techniques in deep learning, machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures

  • Provide the best AI solutions using GPUs working directly with key customers

  • Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models

What we need to see:

  • Pursuing or recently completed a MS or PhD in an engineering or Computer Science related discipline or equivalent experience

  • You'll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms

  • Experience with parallel programming, ideally CUDA C/C++

  • Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

Ways to stand out from the crowd:

  • A background that includes low-level performance optimizations and computer architecture.

  • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

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 base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 28, 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


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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