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Nvidia Engineering Jobs in Detroit, MI (NOW HIRING)

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site

$120 - $150/hr

... NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power. We are expanding our engineering ...

UtiliData, Inc.

Software Engineer, On Device

Ann Arbor, MI · On-site

$120K - $150K/yr

... NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them. We are expanding our engineering team and looking for a ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

... NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them. We are expanding our engineering team and looking for a ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · Remote

... NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them. We are expanding our engineering team and looking for a ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · Remote

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... This position works cross-functionally with product, engineering, and data science teams and is ...

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 ... Bachelor's degree in Computer Science, Engineering, or a related field * Experience supporting or ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · Remote

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... The VP partners with the VP, Engineering on the platform that runs these methods in production, and ...

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All JobsNvidia Engineering JobsNvidia Engineering Jobs in Detroit, MI

Nvidia Engineering information

See Detroit, MI salary details

$46K

$145.4K

$172.3K

How much do nvidia engineering jobs pay per year?

As of Aug 29, 2026, the average yearly pay for nvidia engineering in Detroit, MI is $145,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,300.00 and $171,300.00 per year, depending on experience, location, and employer.

What is an Nvidia engineer?

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 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.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, 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 are the most commonly searched types of Nvidia Engineering jobs in Detroit, MI?

The most popular types of Nvidia Engineering jobs in Detroit, MI are:

What are popular job titles related to Nvidia Engineering jobs in Detroit, MI?

For Nvidia Engineering jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Nvidia Engineering jobs in Detroit, MI look for?

The top searched job categories for Nvidia Engineering jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Nvidia Engineering jobs?

Cities near Detroit, MI with the most Nvidia Engineering job openings:

Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Detroit, MI as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $145,394 per year, or $69.9 per hour.

Principal Software Engineer, Power Applications

Utilidata

Ann Arbor, MI • Remote

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 Power Applications team takes power control and orchestration algorithms from idea to production. We own the complete end-to-end process: developing power control and orchestration algorithms, translating them into deployable applications, and owning the deployment and maintenance of those applications in the field. As the Technical Lead, Power Applications, you will coordinate data scientists and software engineers to produce these applications, define repeatable and scalable workflows that let the team deliver efficiently, and act as the technical interface to other teams on the stack.
This is a leadership role. While you will still spend meaningful time in the codebase, a large part of the work is communication, coordination, and project management. Your leverage comes from the designs you set, the standards you hold, the engineers you develop, and your ability to keep cross-functional work moving.
Success in this role is measured by driving continuous delivery, building for scale and resilience, and navigating the demands of a rapidly growing company. This position works cross-functionally with product, engineering, and data science teams and is open to fully remote candidates, with periodic travel expected for company retreats and key on-site engagements.
Responsibilities
  • Enable the Power Applications team to own the end-to-end lifecycle of Utilidata's power control and orchestration applications, from algorithm development, through translation into deployable software, to deployment and ongoing maintenance in production
  • Directly contribute to the Power Applications codebase and work with the team to define and own code quality standards and engineering workflows
  • Serve as the senior individual contributor coordinating data scientists and software engineers, aligning the group on design and quality through architecture and code review
  • Design continuous delivery workflows that bridge algorithm development and production, including the path from prototype code (e.g., Python) to the deployed application's language (e.g., Rust), so work moves to production smoothly and repeatably
  • Act as the technical interface between Power Applications and other teams on the stack, establishing clear system boundaries, data contracts, and power application SLAs
  • Contribute to system architecture discussions for the Karman platform as a whole, ensuring the subsystems that support power-flow control fit coherently into that wider architecture
  • Build for reliability and scale so power applications run continuously across experimentation, staging, and deployed environments.
Minimum Qualifications 
  • 10+ years of software engineering experience, including a track record of technical leadership on complex production systems
  • Demonstrated ability to lead engineers through architecture, code review, and mentorship, and to raise the technical bar of a team
  • Excellent written and verbal communication skills, with substantial experience working directly with stakeholders across teams
  • Strong project management and technical planning skills — sequencing work, managing cross-team dependencies, translating product requirements into technical designs
  • Strong foundation in distributed systems and reliability engineering: fault tolerance, graceful degradation, observability, and testing for systems that cannot go down
  • Experience taking software from prototype to hardened production, ideally where the platform and requirements were still evolving
  • Proficiency in Python and at least one systems language (C++, Rust, or Go)
  • Willingness to travel up to 10% of time
Enhanced Qualifications (Nice to Have) 
  • Hands-on experience with real-time, low-latency, or control systems : software that must respond within strict time bounds and behave predictably under load
  • Experience with edge or embedded computing, especially on NVIDIA platforms (Jetson-class devices, CUDA, or NVML)
  • Background in power systems, energy, industrial control, robotics, or another physical-world real-time domain)
  • Experience productionizing ML models or algorithms in collaboration with data science teams
Salary Range: $180,000 to $220,000 base compensation depending on experience and level, plus stock options. This role spans multiple job levels; final level and compensation will be determined based on the candidate's experience.
Location: This position can be performed remotely from anywhere in the United States. 
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

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