ZipRecruiter

Log In

1

Nvidia Software Jobs in Michigan (NOW HIRING)

Ford Motor Company

Software Engineer

Redford, MI · On-site +1

$85K - $192K/yr

Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks. * Full-Stack API Development: Build ...

Astemo

Sr. Embedded Software Engineer

Farmington Hills, MI

$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 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 ...

Magna

Principal Software Engineer - Linux/BSP

Southfield, MI · On-site

$123K - $166K/yr

Real-time embedded software using C for 32/64-bit multicore SoC/microcontrollers like NVIDIA, Qualcomm or TI * Experience in developing Linux device drivers, Board bring up, * Strong understanding of ...

Deloitte

Physical and Spatial AI Engineer III

Grand Rapids, MI · On-site

$55.25 - $74.25/hr

NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments * GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream ...

Deloitte

Physical and Spatial AI Engineer III

Detroit, MI

$57 - $76.50/hr

NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments * GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream ...

Magna

Sr. Staff Engineer

Southfield, MI

Real-time embedded software using C for 32/64-bit multicore SoC/microcontrollers like NVIDIA, Qualcomm or TI * Experience in developing Linux device drivers, Board bring up, * Strong understanding of ...

Magna

Sr. Staff Engineer

Southfield, MI · On-site

Real-time embedded software using C for 32/64-bit multicore SoC/microcontrollers like NVIDIA, Qualcomm or TI * Experience in developing Linux device drivers, Board bring up, * Strong understanding of ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... software. This is Utilidata's first dedicated role of this kind, and will serve as the foundational ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... software. This is Utilidata\'s first dedicated role of this kind, and will serve as the ...

Utilidata

Embedded Firmware Engineer

Ann Arbor, MI · On-site

$135K - $175K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Develop and optimize real-time embedded software using C/C++, RTOS, and bare-metal programming for ...

Utilidata

Embedded Firmware Engineer

Ann Arbor, MI · On-site

$135K - $175K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Develop and optimize real-time embedded software using C/C++, RTOS, and bare-metal programming for ...

next page

Showing results 1-20

All JobsNvidia Software JobsNvidia Software Jobs in Michigan

Nvidia Software information

See Michigan salary details

$41.8K

$97.5K

$144.7K

How much do nvidia software jobs pay per year?

As of Jun 15, 2026, the average yearly pay for nvidia software in Michigan is $97,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $113,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia Software Engineer, and why are they important?

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.

Is it hard to get hired at NVIDIA?

Getting hired at NVIDIA for software roles can be competitive, often requiring strong technical skills in programming, algorithms, and relevant experience. Candidates typically go through multiple interview rounds that assess technical knowledge, problem-solving ability, and cultural fit. Having a solid portfolio, relevant certifications, and familiarity with tools like CUDA can improve chances of success.

What are Nvidia Software engineers?

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 is NVIDIA's starting salary?

The starting salary for roles at NVIDIA varies depending on the position, location, and candidate experience. Entry-level software engineering roles typically begin around $80,000 to $100,000 annually, with additional benefits and stock options often included. Salaries may increase with skills in programming, GPU architecture, and relevant certifications.

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.

Do NVIDIA pay well?

NVIDIA software engineering and related roles are generally well-compensated, with salaries often above industry averages for tech companies. Compensation packages typically include base salary, bonuses, and stock options, reflecting the company's strong market position and demand for skilled professionals in areas like GPU development and AI software. Factors such as experience, location, and skill level influence individual pay.

What are some 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.

How much does NVIDIA pay their software engineers?

NVIDIA software engineers typically earn an average salary ranging from $100,000 to $150,000 annually, depending on experience, location, and specific role. Compensation may also include bonuses, stock options, and benefits, with higher salaries often available for senior or specialized positions involving skills in CUDA, AI, or machine learning.
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 June 2026, with employment types broken down into 2% As Needed, 24% Full Time, 69% Part Time, 3% Contract, and 2% Nights. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $97,484 per year, or $46.9 per hour.
Software Engineer, II - Operating System

Software Engineer, II - Operating System

Torc Robotics

Ann Arbor, MI • On-site

$169K - $200K/yr

Full-time

Posted 13 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, develop automation tools, and collaborate with cross-functional teams to ensure system security and performance.
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.

Apply