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Nvidia Software Jobs in Michigan (NOW HIRING)

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... This edge software includes machine learning, optimization algorithms, and components that host ...

Ford Motor Company

Software Engineer

Redford, MI

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 Ltd

Embedded Software Engineer

Farmington Hills, MI · On-site

$129K - $170K/yr

Contribute to software architecture that supports efficient development, integration, and ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

Astemo

Embedded Software Engineer

Farmington Hills, MI

$129K - $170K/yr

Contribute to software architecture that supports efficient development, integration, and ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

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 ...

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 ...

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Nvidia Software information

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.

How much does NVIDIA pay 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 graphics programming.

Is it hard to get hired at NVIDIA?

Getting hired at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a good understanding of tools like CUDA or deep learning frameworks. The hiring process often involves multiple interviews and technical assessments.

Does NVIDIA hire software developers?

Yes, NVIDIA hires software developers for roles involving graphics, AI, and high-performance computing. These positions typically require programming skills in languages like C++ and Python, and often involve working with GPU architectures and development tools. Candidates usually need relevant experience and a strong understanding of software engineering principles.

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 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 the entry-level jobs at NVIDIA?

Entry-level jobs at NVIDIA typically include roles such as Software Engineer I, Hardware Design Engineer, and Technical Program Coordinator. These positions often require a bachelor's degree in computer science, engineering, or related fields, and may involve skills in programming, hardware design, or data analysis. Internships and co-op programs are also common pathways for new graduates to gain experience at NVIDIA.

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.
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
Software Engineer, On Device

Software Engineer, On Device

Utilidata

Ann Arbor, MI • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 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.
We are expanding our engineering team and looking for a Software Engineer to support the productionalization of our IoT platform, with a primary emphasis on the software that runs on edge IoT devices. This edge software includes machine learning, optimization algorithms, and components that host these capabilities that must meet high standards of performance, security, reliability, and accuracy. We are looking for candidates who are mission-driven, collaborative, adaptive and experienced in designing, writing, testing, and debugging distributed enterprise software at scale. Ideal candidates will possess knowledge of Python, Linux, continuous integration and deployment (CI/CD), with direct experience designing and developing successful enterprise software.
Responsibilities
  • Design, propose, plan, implement, and test resource-constrained, edge software in Python (and possibly lower-level languages, e.g., Rust) including the implementation of precision telemetry collection, real-time control interfaces, and robust system observability
  • Create and maintain CI/CD processes as necessary to support development and deployment with a focus on reproducibility, regression testing for embedded systems, and deployment in real-world, intermittently connected environments
  • Contribute to internal and external technical documentation
  • Collaborate with a cross-functional team of software, hardware, quality assurance (QA), and power systems engineers; data scientists; and leadership
  • Provide high-quality, in-depth code and architecture reviews, implement new features, and provide technical leadership while coordinating with project management, QA, and other internal teams
  • Continually advocate for and implement process improvement and automation
  • Foster a culture of open communication, innovation, and continual improvement
  • Mentor other engineers using paired programming, code review, and collaborative test scenario design
Minimum Qualifications
  • 5+ years of professional experience including 3+ years of experience developing production software and systems, or a combination of educational and professional experience commensurate with this level of experience
  • Demonstrated ability to design and implement distributed systems utilizing microservices in a resource-constrained environment (edge devices with limited memory, CPUs, GPU capacity, etc.)
  • Extensive experience using Python, C/C++, Rust, and the Linux operating system
  • Experience with device layered security, i.e. encryption (PKI) , disk partitioning, secure boot, os kernel libraries, device drivers, os processes/daemons
  • Data compression and schema management for device time series data
  • Experience implementing and maintaining CI/CD workflows (e.g., GitHub Actions or Jenkins)
  • Strong understanding of synchronous and asynchronous network communication, including REST APIs, gRPC, binary protocols, and distributed publish/subscribe messaging systems and protocols like MQTT and ZeroMQ
  • Strong written and oral communication skills, with a proven track record of working effectively both individually and as part of a team
Enhanced Qualifications (Nice to Have)
  • Experience designing, building and deploying applications and reusable libraries based on the NVIDIA ML software stack on the Jetson Platform
  • Experience with system integration testing including HIL and SIL
  • Understanding of SQL/NoSQL Database implementations (SQLite, Redis, Postgres, etc)
  • Well-versed in Docker/containerization
  • Hands-on knowledge of cloud platforms and services focused on IoT device management, security and OTA updates (AWS, Azure) preferably in the scale of million devices including managing release/versioning strategies and monitoring fleet-wide performance metrics
  • Experience with control systems applications (e.g. industrial processes, manufacturing, commercial buildings, SCADA) and/or power systems
  • Experience working with software and systems deployed in modern data center environments, including telemetry ingestion, rack-level integration, and coordination with orchestration platforms
  • Experience with Shell scripting, helm charts, ansible, and prometheus tools
Salary Range: $120,000 to $150,000 base compensation depending on experience and 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

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