ZipRecruiter

Log In

1

Nvidia Engineering Jobs in Michigan (NOW HIRING)

Ford Motor Company

Software Engineer

Redford, MI

Experience: 3+ years of professional software engineering experience in a production environment ... Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor ...

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103K - $141K/yr

Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or ... Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ...

Astemo Ltd

Embedded Software Engineer

Farmington Hills, MI · On-site

$129K - $170K/yr

Engineering Position Overview and Objective Astemo's Advanced Engineering team is hiring an ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

Astemo

Embedded Software Engineer

Farmington Hills, MI · On-site

$129K - $170K/yr

Engineering Position Overview and Objective Astemo's Advanced Engineering team is hiring an ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

next page

Showing results 1-20

All JobsNvidia Engineering JobsNvidia Engineering Jobs in Michigan

Nvidia Engineering information

See Michigan salary details

$40.5K

$128K

$151.7K

How much do nvidia engineering jobs pay per year?

As of Jul 3, 2026, the average yearly pay for nvidia engineering in Michigan is $128,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $150,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nvidia Engineering position, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia Engineering job?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, hardware engineering, or systems architecture at leading technology companies can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or working on high-impact projects.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

What types of projects do Nvidia Engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills or advanced degrees can earn higher compensation, often including bonuses and stock options. The company also values technical expertise in areas like GPU architecture, AI, and deep learning.

How much do NVIDIA application engineers make?

NVIDIA application engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and level. Salaries can increase with specialized skills in GPU programming, deep learning, and related tools, and may include bonuses and benefits. Entry-level positions generally start lower, while senior roles can exceed this range.
What are the most commonly searched types of Nvidia Engineering jobs in Michigan? The most popular types of Nvidia Engineering jobs in Michigan are:
What are popular job titles related to Nvidia Engineering jobs in Michigan? For Nvidia Engineering jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Nvidia Engineering jobs in Michigan look for? The top searched job categories for Nvidia Engineering jobs in Michigan are:
What cities in Michigan are hiring for Nvidia Engineering jobs? Cities in Michigan with the most Nvidia Engineering job openings:
Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Michigan as of June 2026, with employment types broken down into 89% Full Time, and 11% Temporary. Highlights an 78% In-person, 3% Hybrid, and 19% Remote job distribution, with an average salary of $128,009 per year, or $61.5 per hour.
Senior Network & Systems Engineer

Senior Network & Systems Engineer

Utilidata

Ann Arbor, MI • On-site

$125K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
The Senior Network & Systems Engineer is responsible for owning Tier 3 IT support, network infrastructure, and systems administration across Utilidata's Ann Arbor headquarters and remote environments. This is a hands-on senior individual contributor role-not an architecture position-focused on resolving complex technical issues, maintaining reliable network and systems infrastructure, and supporting the security posture of the organization. This role enables the Director of IT & Security Operations to focus on strategic planning, policy implementation, and security governance, and ensures that R&D engineers can dedicate their time fully to product development. This position is based onsite at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work. Candidates will be expected to collaborate cross-functionally with remote teams based across the country.
Responsibilities
  • Serve as the Tier 3 escalation point for complex IT issues across networking, servers, endpoints, and identity systems
  • Design, implement, and maintain LAN/WAN, wireless, firewall, and VPN infrastructure
  • Manage network segmentation, VLAN configuration, routing protocols, and SD-WAN solutions
  • Monitor network performance and system availability; proactively identify and resolve issues before they cause impact
  • Troubleshoot and resolve advanced operating system, application, and infrastructure incidents
  • Manage and maintain on-premises and cloud infrastructure, including servers, switches, and access control systems
  • Provide on-site support for the Ann Arbor Innovation Lab, including rack-and-stack, cabling, and low-level hardware configuration
  • Support data center operations including server provisioning, storage, and compute resource management relevant to Karman platform deployments
  • Support security monitoring, incident detection, and alert triage in coordination with the Director of IT & Security Operations
  • Assist with endpoint detection, log review, and vulnerability management within established security tooling
  • Contribute to the development and enforcement of IT security policies and access control standards
  • Support SOC coordination on security incident triage and response as needed
  • Manage user onboarding and offboarding workflows including identity provisioning, access management, and device setup
  • Absorb IT and administrative tasks currently managed by R&D engineers
  • Support procurement, hardware asset lifecycle management, and inventory tracking
  • Contribute to documentation of operational runbooks, network diagrams, troubleshooting guides, and system procedures
  • Support change management processes, coordinating on network, firewall, and access control changes

Minimum Qualifications
  • 5+ years of hands-on experience in network engineering, IT infrastructure, or systems administration in production environments
  • Deep networking expertise, including routing, switching, firewalls, VLANs, and network security
  • Proven ability to resolve Tier 3 issues independently across network, server, and endpoint environments
  • Experience supporting physical data center or lab environments, including low-level hardware support
  • Solid understanding of system monitoring, log management, and troubleshooting methodologies
  • Experience with identity and access management platforms (JumpCloud preferred)
  • Comfortable operating in a fast-paced, small-team environment where scope evolves and self-direction is expected

Enhanced Qualifications (Nice to Have)
  • Security background or SOC familiarity; relevant certifications such as CCNA, CompTIA Security+, or CISSP are a plus
  • Familiarity with security frameworks such as NIST, CIS benchmarks, or SOC 2 controls
  • Experience with SIEM platforms (Splunk, Sentinel, or similar)
  • Exposure to high-performance computing, AI infrastructure, or GPU-based systems
  • Experience with configuration management or automation tools (Ansible, Puppet, Chef, or similar)
  • Experience administering developer and infrastructure platforms such as GitHub, Tailscale, or NetBox

Salary Range: $125,000 to $155,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position is based onsite at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Apply