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Manager Nvidia Autonomous Driving Jobs in Michigan

May Mobility

Director, Platform Operations

Ann Arbor, MI · On-site

... management experience, including hiring, onboarding, retention, coaching, and team building * Experience setting technical vision and strategy for vehicle systems engineering and autonomous driving ...

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Manager Nvidia Autonomous Driving information

What is the difference between Manager Nvidia Autonomous Driving vs Software Engineer Nvidia Autonomous Driving?

AspectManager Nvidia Autonomous DrivingSoftware Engineer Nvidia Autonomous Driving
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Computer Science or related field
Work EnvironmentTeam leadership, project management, cross-functional collaborationSoftware development, coding, testing, debugging
Employer & Industry UsageAutomotive tech companies, Nvidia, autonomous vehicle industryTech companies, Nvidia, autonomous vehicle projects

The main difference is that the Manager Nvidia Autonomous Driving oversees teams and projects related to autonomous vehicle technology, focusing on leadership and coordination. In contrast, the Software Engineer Nvidia Autonomous Driving is primarily involved in coding and developing the software components. Both roles require technical expertise, but the manager role emphasizes project management and team oversight.

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Infographic showing various Manager Nvidia Autonomous Driving job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Software Engineer, II - Operating System

Torc Robotics

Ann Arbor, MI • On-site

$95K - $130K/yr

Full-time

Re-posted 15 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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