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Nvidia Software Jobs in Michigan (NOW HIRING)

Astemo Ltd

Sr. Embedded Software Engineer

Farmington Hills, MI · On-site

$122K - $159K/yr

Develop platform software capabilities that extend beyond vendor-provided baselines to meet the ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

Astemo

Sr. Embedded Software Engineer

Farmington Hills, MI · On-site

$122K - $159K/yr

Develop platform software capabilities that extend beyond vendor-provided baselines to meet the ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata ...

Wayve

Engineering Manager, App SW - Embedded

Detroit, MI · On-site

$252K - $298K/yr

Lead software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride). * Build and lead an engineering team in the US, hiring and mentoring top talent. * Port and configure Linux ...

Wayve

Engineering Manager, App SW - Embedded

Detroit, MI · On-site

$252K - $298K/yr

Lead software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride). * Build and lead an engineering team in the US, hiring and mentoring top talent. * Port and configure Linux ...

Utilidata

Director, Talent Management

Ann Arbor, MI · On-site +1

$160K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Run full lifecycle recruitment for technical and non-technical roles, including software, hardware ...

Utilidata, Inc.

Director, Talent Management

Ann Arbor, MI · On-site

$160 - $210/hr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Run full lifecycle recruitment for technical and non-technical roles, including software, hardware ...

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Nvidia Software information

What is an Nvidia software engineer?

Nvidia Software engineers are professionals who design, develop, and optimize software solutions for Nvidia's products, such as GPUs, AI platforms, and related technologies. They work on a variety of projects, including graphics drivers, deep learning frameworks, and high-performance computing applications. Their role involves collaborating with hardware engineers, improving system performance, and ensuring seamless integration with Nvidia hardware. Nvidia Software engineers are essential in advancing the capabilities of graphics and AI technology.

What skills and qualifications are needed to thrive as an Nvidia software engineer?

To thrive as an Nvidia Software Engineer, you need proficiency in programming languages like C++ and Python, strong knowledge of computer architecture, and often a degree in computer science or a related field. Familiarity with parallel computing platforms such as CUDA, GPU development tools, and version control systems like Git is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills for success in this role. These competencies enable engineers to efficiently develop high-performance software and contribute to innovative graphics and AI solutions.

What are common challenges faced by software engineers working at Nvidia, and how can they be addressed?

Software engineers at Nvidia often work on cutting-edge technologies in fields like graphics, AI, and high-performance computing, which can present unique challenges such as rapidly evolving technical requirements and complex problem-solving scenarios. Collaborating across multidisciplinary teams—often globally distributed—requires strong communication and adaptability. To succeed, it's important to proactively seek feedback, stay updated on emerging trends, and leverage Nvidia’s internal learning resources. Embracing a collaborative mindset and being open to continuous learning can help engineers navigate these challenges effectively.

What is the difference between Nvidia Software vs Nvidia Hardware Engineer?

AspectNvidia SoftwareNvidia Hardware Engineer
Required CredentialsBachelor's in Computer Science, Software Development experienceBachelor's in Electrical Engineering or Computer Engineering, hardware design experience
Work EnvironmentSoftware development teams, R&D labs, collaborative projectsHardware labs, prototyping, testing environments
Industry UsageDeveloping drivers, AI software, GPU programmingDesigning GPU chips, circuit boards, hardware components
Common Search/ComparisonYesNo

In summary, Nvidia Software professionals focus on developing and maintaining software solutions like drivers and AI applications, requiring programming skills and software credentials. Nvidia Hardware Engineers work on designing and testing physical GPU components, requiring engineering expertise. Both roles are vital in the tech industry but differ in their focus and skill sets.

What are popular job titles related to Nvidia Software jobs in Michigan?

For Nvidia Software jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Nvidia Software jobs in Michigan look for?

The top searched job categories for Nvidia Software jobs in Michigan are:

Nvidia Software jobs near you
Infographic showing various Nvidia Software job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Software Engineer, II - Operating System

Torc Robotics

Ann Arbor, MI • On-site

$95K - $130K/yr

Full-time

Re-posted 20 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 It is a sub-organization of Daimler Truck. 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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