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Temporary Nvidia Autonomous Driving Jobs in Edmonds, WA

The Select Group

Embedded Systems Engineer

Bellevue, WA · On-site

Experience supporting ADAS, autonomous-driving, perception, or sensor-fusion platforms. * Experience with NVIDIA Jetson, Orin, DRIVE, or similar edge-compute platforms. * Experience with multi-sensor ...

Nvidia

GPU Compiler Engineer

Redmond, WA · On-site

Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++ Design ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

Nvidia

GPU Compiler Engineer

Redmond, WA

Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++ * Design ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

Nvidia

Senior Solutions Architect

Seattle, WA

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

Nvidia

Senior Solutions Architect

Seattle, WA · On-site

As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...

Nvidia

Senior Software Engineer, CUTLASS Kernels

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA's high-performance computing platforms are powering the AI revolution across many ... If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library ...

Nvidia

Senior Software Engineer, Agentic AI

Redmond, WA · On-site

$137K - $180K/yr

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

Nvidia

Senior Software Engineer, CUTLASS Kernels

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA's high-performance computing platforms are powering the AI revolution across many ... If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library ...

Nvidia

Senior Software Engineer, Agentic AI

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brain 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 3, 2026, the average hourly pay for temporary nvidia autonomous driving in Edmonds, WA is $23.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $23.75 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 Edmonds, WA?

The most popular types of Nvidia Autonomous Driving jobs in Edmonds, WA are:

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Temporary Nvidia Autonomous Driving jobs near you

Embedded Systems Engineer

The Select Group

Bellevue, WA • On-site

Full-time

Posted 26 days ago

Job description

Embedded Systems Engineer
This engagement will support standing up a dedicated edge-compute environment for a new LiDAR ground-truth pipeline, operating alongside their existing vehicle edge platform. Our engineer will lead board-level bring-up, BSP development, driver integration, and low-level platform work - partnering closely with the Perception & Sensor Fusion Engineer, who owns sensor calibration, synchronization, and the perception logic running on top of the platform.
What You'll Do
  • Design and stand up a dedicated edge-compute unit, potentially using an NVIDIA Orin-class platform, to support LiDAR and multi-sensor processing.
  • Own board support package (BSP) bring-up and driver modifications required for camera, LiDAR, and other vehicle sensor integration.
  • Implement OS- and microprocessor-level functionality supporting millisecond-level multi-sensor time synchronization.
  • Support on-device storage and upload infrastructure for captured sensor data.
  • Collaborate closely with perception, platform, and OS engineering teams on hardware/software integration.
  • Develop and validate functionality using mock or synthetic sensor data during initial development.

What You'll Bring
  • Strong C/C++ experience, including low-level driver development and BSP/board bring-up on embedded or edge hardware.
  • Experience bringing up and developing on RTOS, embedded Linux, QNX, or similar operating systems on ARM-based or comparable platforms.
  • Experience working in resource-constrained, real-time edge-compute environments.
  • Hands-on experience with camera, LiDAR, radar, IMU, or other sensor integration at the embedded/platform level.
  • Prior experience within automotive, ADAS, autonomous vehicles, robotics, drones, or another sensor-intensive autonomous system.
  • Strong hardware/software debugging and systems-integration experience.
  • Ability to work North American business hours with strong written and verbal communication skills.

Bonus Experience
  • Direct experience with LiDAR integration at the BSP or driver level.
  • Experience supporting ADAS, autonomous-driving, perception, or sensor-fusion platforms.
  • Experience with NVIDIA Jetson, Orin, DRIVE, or similar edge-compute platforms.
  • Experience with multi-sensor time synchronization, hardware timestamping, PTP/PPS, or related technologies.
  • Background in autonomous vehicles, robotics, drones, or industrial collision-avoidance/safety systems.

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-CH1
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