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Nvidia Robotics Jobs in Michigan (NOW HIRING)

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

... and NVIDIA Jetson/Isaac SDKs. * Implement algorithms for navigation, path planning, and control integration. Collaboration & Innovation * Partner with cross-functional teams in AI, robotics, and ...

Deloitte

Physical AI Senior Manager

Detroit, MI

$125K - $165K/yr

Hands-on experience with NVIDIA ecosystem elements relevant to Physical AI (e.g., accelerated computing for vision/AI at the edge, simulation workflows, robotics stacks) and Siemens engineering ...

All JobsNvidia Robotics JobsNvidia Robotics Jobs in Michigan

Nvidia Robotics information

See Michigan salary details

$73.2K

$83.7K

$101.5K

How much do nvidia robotics jobs pay per year?

As of Jul 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 are the key skills and qualifications needed to thrive in the Nvidia Robotics position, and why are they important?

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.

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.

Is it hard to get hired at NVIDIA?

Getting hired for a robotics-related role at NVIDIA can be competitive due to the company's high standards and advanced technology focus. Candidates typically need strong technical skills, relevant experience, and a solid understanding of robotics, AI, or related fields. The hiring process often involves multiple interviews and technical assessments.

Which robotics company is NVIDIA working with?

NVIDIA collaborates with various robotics companies and research institutions to develop AI and autonomous systems. These partnerships often focus on integrating NVIDIA's hardware and software platforms, such as the Jetson AI edge computing modules, into robotics applications across industries like manufacturing, logistics, and healthcare.

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 with specialized skills in AI, machine learning, and robotics frameworks tend to earn higher salaries, often supplemented with bonuses and stock options.

How much do NVIDIA robotics teleoperators make?

NVIDIA robotics teleoperators typically earn between $50,000 and $80,000 annually, depending on experience, location, and specific responsibilities. The role often requires technical skills in robotics, remote operation, and troubleshooting, with some positions offering additional compensation for overtime or specialized tasks.

What are some typical responsibilities for a robotics engineer working at Nvidia, and how do they collaborate with other teams?

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 most commonly searched types of Nvidia Robotics jobs in Michigan? The most popular types of Nvidia Robotics jobs in Michigan are:
What are popular job titles related to Nvidia Robotics jobs in Michigan? For Nvidia Robotics jobs in Michigan, the most frequently searched job titles are:
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What cities in Michigan are hiring for Nvidia Robotics jobs? Cities in Michigan with the most Nvidia Robotics job openings:
Nvidia Robotics jobs near you
Infographic showing various Nvidia Robotics job openings in Michigan as of July 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 88% Full Time, 4% Part Time, 2% Contract, and 2% Nights. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $83,673 per year, or $40.2 per hour.
Software Engineer, II - Operating System

Software Engineer, II - Operating System

Torc Robotics

Ann Arbor, MI • On-site

$95K - $130K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The Software Engineer, II - Operating System will work on Linux kernel modules, system-level debugging, and collaborate with cross-functional teams to ensure system security and performance optimization.
Responsibilities:
• Work on Linux kernel modules
• Incorporate Linux Distribution in to build and deployment toolchain
• Perform system-level debugging and performance tuning
• Develop shell scripts and automation tools
• Troubleshoot system issues and optimize performance
• Collaborate with cross-functional teams (DevOps, QA, Hardware, Networking)
• Ensure system security, stability, and scalability
• Manage package builds and deployments
• Contribute to documentation and technical design discussions
• Optimize performance, memory usage, and real-time behavior of embedded applications.
• Integrate and maintain third-party software and open-source software
Qualifications:
Required:
• Bachelor's or Master's Degree in Computer Engineering, Computer Science, Engineering, or related field with 3-5+ years experience
• Strong understanding of Linux internals, including user space vs kernel space, device trees, systemd and system boot-up.
• Familiar with Linux Kernel architecture (Scheduler (CFS vs RT), Memory management (paging, slab, CMA), Interrupt handling, softirq/tasklets)
• Deep understanding of Process and IPC (fork/exec, signals, shared memory, pipes, sokcets).
• Familiar with Linux boot up sequence and bootloaders.
• Experience with device drivers and user space drivers. (PCIe, DMA, Ethernet, CAN)
• Linux security knowledge (secure boot chain, signed kernel modules), filesystem hardening, namespace isolation (LSM).
• Strong experience with Linux development in Embedded Systems, latency analysis (CyclicTest,ftrace)
• Strong knowledge in building real time Embedded Systems for automotive or similar industries
• Knowledge of build systems (Make, CMake, Yocto, Buildstream, Bazel)
• Proficiency in C/C++ programming
• Namespace Isolations (Containers, CGroups)
• Experience with Shell scripting (Bash)
• Familiarity with system calls, memory management, and process management
• Knowledge of networking protocols (TCP/IP, SSH, HTTP)
• Experience with debugging tools like GDB, strace, and Valgrind
• Experience working in multi-threaded, multi-core, and multi-processor systems.
• Solid understanding of Semaphore, Mutex, Message Queue, shared memory and other operating system concepts.
• Familiarity with hardware interfaces such as SPI, I2C, UART, Automotive Ethernet, CAN, and GPIO.
• Knowledge of software version control (e.g., Git), CI/CD practices, and issue tracking systems.
• Experience with Python, Bash scripting, or other relevant tools for automation and testing.
• Exposure to Nvidia DriveOs.
• Experience with Vector Cast or GTest for unit testing.
• Experience working with scrum / Agile teams.
Preferred:
• Knowledge of ISO 61508 or/and ISO 26262 desirable.
• Automotive ASPICE knowledge – V Cycle
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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