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Manager Nvidia Robotics Jobs in Michigan (NOW HIRING)

Deloitte

Physical AI Senior Manager

Detroit, MI · On-site

$125K - $165K/yr

... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action ...

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Manager Nvidia Robotics information

What is the difference between Manager Nvidia Robotics vs Robotics Engineer?

AspectManager Nvidia RoboticsRobotics Engineer
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, develop, test robotic systems
Industry UsageOversees robotics projects in tech and manufacturingBuilds and codes robotic systems in R&D labs

The Manager Nvidia Robotics typically oversees robotics projects, requiring leadership and management skills, while Robotics Engineers focus on designing and developing robotic systems. Both roles are integral in the robotics industry but differ in responsibilities and daily tasks.

What are the typical challenges faced by a Manager in Nvidia Robotics, and how can new hires prepare for them?

Managers in Nvidia Robotics often encounter challenges related to overseeing multidisciplinary teams, integrating cutting-edge AI and hardware solutions, and managing fast-paced project cycles. New hires can prepare by developing strong project management skills, staying current with robotics and AI advancements, and fostering effective communication between hardware, software, and research teams. Being adaptable and proactive in problem-solving is crucial, as the field rapidly evolves and projects may shift priorities based on technological breakthroughs or business needs.

What are the key skills and qualifications needed to thrive as a Manager Nvidia Robotics, and why are they important?

To thrive as a Manager Nvidia Robotics, you need a solid background in robotics, computer science or engineering, combined with proven leadership experience and a relevant degree. Familiarity with NVIDIA’s robotics platforms (such as Isaac SDK), AI frameworks, and project management tools is typically required, along with certifications in project management or engineering disciplines. Strong communication, problem-solving, and team leadership skills help drive cross-functional collaboration and innovation. These capabilities are crucial for successfully guiding technical teams, delivering complex robotics solutions, and maintaining a competitive edge in a fast-evolving industry.

What does a Manager of Nvidia Robotics do?

A Manager of Nvidia Robotics leads teams that develop, implement, and optimize robotics solutions using Nvidia's AI and GPU technologies. They oversee projects related to robotics hardware, software, and systems integration, ensuring products meet technical and business requirements. This role involves collaborating with engineers, researchers, and product managers to drive innovation and maintain project timelines. Additionally, the manager acts as a bridge between technical teams and upper management, helping to set strategic goals and allocate resources effectively.
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Manager Nvidia Robotics jobs near you
Software Engineer, II - Operating System

Software Engineer, II - Operating System

Torc Robotics

Ann Arbor, MI • On-site

$95K - $130K/yr

Full-time

Posted 5 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 performance tuning while collaborating with cross-functional teams to ensure system security and scalability.
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, sockets).
• 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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