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Nvidia Robotics Jobs in Michigan (NOW HIRING)

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Nvidia Robotics information

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$73.2K

$83.7K

$101.5K

How much do nvidia robotics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for nvidia robotics in Michigan is $83,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $88,900.00 per year, depending on experience, location, and employer.

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.

What are the typical responsibilities of a robotics engineer at Nvidia?

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 key skills and qualifications needed for a robotics position at Nvidia?

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.

Does Nvidia Robotics have a robotics department?

Nvidia Robotics is a division within Nvidia focused on developing robotics solutions, including AI, sensors, and autonomous systems. The division employs engineers and researchers specializing in robotics, computer vision, and AI technologies to advance robotics applications. Job seekers interested in Nvidia Robotics should have skills in software development, AI, and robotics hardware integration.

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 or those with specialized skills in AI, machine learning, or robotics may earn higher salaries. Compensation often includes benefits such as stock options and bonuses.

What cities in Michigan are hiring for Nvidia Robotics jobs?

Cities in Michigan with the most Nvidia Robotics job openings:

Infographic showing various Nvidia Robotics job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 4% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,673 per year, or $40.2 per hour.

Autonomous Driving Intern

Plymouth, MI • On-site

Isuzu Motors America LLC
Motor Vehicle Manufacturing • 201 - 500 employees

$20 - $34/hr

Internship

Re-posted 11 days ago


Job description

Isuzu Technical Center of America is seeking an Autonomous Driving Intern to join its operations in Plymouth, MI. 

The selected candidate will be placed with a preferred agency for employment.

Autonomous Driving Intern

Isuzu Technical Center of America (ITCA) is seeking a highly motivated Autonomous Driving Intern to support the Advanced Engineering team in the development, integration, and validation of Level 4 autonomous commercial vehicles and fleet operations. In this role, the intern will contribute to perception, planning, and/or control algorithm development, system integration, and the construction of simulation and end-to-end testing environments. The intern will work closely with Isuzu internal engineering teams and external partners to design, implement, integrate, and evaluate autonomous driving system components, with a focus on system-level interactions across perception, planning, control, and vehicle interfaces. Responsibilities include supporting algorithm development and integration, assisting with closed-loop simulation and on-road issue analysis, and helping validate system performance in simulation and vehicle testing environments, providing exposure to system thinking, algorithm iteration, and deployment workflows within a collaborative and fast-paced engineering environment.

PRINCIPAL DUTIES & RESPONSABILITIES

1. (Perception Oriented) Research, develop, and iterate visual perception algorithms for autonomous driving, including object detection, recognition, image segmentation, and occupancy grid (Occupancy). Develop fusion perception algorithms (e.g., occluded-object fusion, parking-space fusion) and continuously improve the visualization and interpretability of perception outputs. (Planning & Control Oriented)  Design, develop, and optimize planning and control algorithms, including behavior planning, trajectory planning, and vehicle control, ensuring safety, comfort, and robustness.

2. Demonstrate strong system-level thinking, understanding the interactions and dependencies across perception, planning, control, localization, and vehicle interfaces.

3. Perform end-to-end system integration and testing, from simulation and SIL/HIL to on-road vehicle testing, to identify, diagnose, and resolve real-world driving issues.

4. Lead root-cause analysis of on-road failures, especially in complex or long-tail scenarios, and drive systematic fixes across multiple modules rather than local optimizations.

5. Support deployment of autonomous driving systems on real vehicles, continuously improving performance through closed-loop validation and iterative refinement.

6. Miscellaneous duties as assigned.

ORGANIZATIONAL RELATIONSHIPS

  • Reports to: Manager, Autonomous Driving

EDUCATION, EXPERIENCE & TRAINING

  • Master’s degree or above in Robotics, Computer Science, Mathematics, Electronic Engineering, or related fields, with extensive experience in autonomous driving algorithm development across perception, planning, and control.
  • Expert-level candidates should demonstrate technical leadership and/or publications in top-tier academic conferences.
  • Candidates must have a GPA of 3.6 or higher on a 4.0 scale
  • Prior industry experience in robotics or autonomous driving is preferred

KNOWLEDGE

  • Deep understanding of machine learning, deep learning, motion planning, and control theory, with the ability to reason about system-wide trade-offs.
  • Hands-on experience with end-to-end autonomous driving systems, including simulation-based testing, SIL/HIL validation, and on-road debugging.
  • Familiarity with planning and control techniques such as state machines, search-based and optimization-based planning, MPC, PID, or related methods.
  • Exposure to middleware frameworks like ROS (Robot Operating System)

SKILLS & ABILITIES

  • Strong proficiency in C++ and Python, with solid foundations in data structures, algorithms, and software engineering best practices.
  • Experience with PyTorch, TensorFlow, and performance optimization using CUDA, TensorRT, or real-time system acceleration is a plus.
  • Strong problem-solving mindset, excellent cross-team communication skills, and the ability to independently drive end-to-end issue resolution from field data to production fixes.
  • Proficiency in robotics-related software: ROS, ROS2, NVIDIA Isaac Sim, PyTorch, OpenCV
  • Proficiency in version control management tool: GitHub
  • Valid driver license with good record

PHYSICAL STANDARDS

The employee must be able to access, enter, and retrieve data using a computer.  This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less.  Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs).   Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.