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Nvidia Engineering Jobs in Minnesota (NOW HIRING)

... g., Nvidia Xavier/Orin) and integration into unmanned aerial systems (UAS) and maritime surface ... Strong software engineering skills with proficiency in C/C++ (primary), including a sound ...

... g., Nvidia Xavier/Orin) and integration into unmanned aerial systems (UAS) and maritime surface ... Strong software engineering skills with proficiency in C/C++ (primary), including a sound ...

AI & HPC Infrastructure Engineer

Minneapolis, MN · On-site

$112K - $147K/yr

Architect and deploy with NVIDIA platform tools including Base Command Manager (BCM), NGC, NCCL, NVLink, and CUDA along with LLM inference engines (TensorRT-LLM), production serving frameworks (vLLM ...

Physical AI Senior Manager

Minneapolis, MN · On-site

$132K - $174K/yr

Hands-on experience with NVIDIA ecosystem elements relevant to Physical AI (e.g., accelerated computing for vision/AI at the edge, simulation workflows, robotics stacks) and Siemens engineering ...

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ...

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Nvidia Engineering information

See Minnesota salary details

$45.5K

$143.8K

$170.4K

How much do nvidia engineering jobs pay per year?

As of Jul 16, 2026, the average yearly pay for nvidia engineering in Minnesota is $143,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $169,400.00 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 Minnesota? The most popular types of Nvidia Engineering jobs in Minnesota are:
What are popular job titles related to Nvidia Engineering jobs in Minnesota? For Nvidia Engineering jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Nvidia Engineering jobs? Cities in Minnesota with the most Nvidia Engineering job openings:
Infographic showing various Nvidia Engineering job openings in Minnesota as of July 2026, with employment types broken down into 67% Full Time, 8% Temporary, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $143,844 per year, or $69.2 per hour.
Graphics Software Engineer (C++) - OpenGL/CUDA

Graphics Software Engineer (C++) - OpenGL/CUDA

Capgemini Engineering

Minneapolis, MN • On-site

$65K - $169K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.


Location: This role is on-site in Minneapolis, MN


About the role you’re considering:

We are seeking a Senior Software Engineer to be a key technical contributor within our Electrophysiology Division, developing system and embedded software for advanced diagnostic and interventional cardiology devices. This role involves ownership across the full software development lifecycle and close collaboration with cross‑functional teams to deliver high‑quality, innovative medical device solutions.


Your role

  • Apply strong software design and engineering skills to develop embedded and system‑level software for medical devices that meet defined performance, safety, and quality requirements.
  • Design, implement, and test software components including: embedded and application‑level software; linux‑based applications and graphical user interfaces; and real‑time algorithms such as 3D location tracking, 3D anatomical model creation, and intracardiac signal visualization.
  • Translate system and user requirements into effective software architectures and detailed designs.
  • Contribute meaningfully across project phases, including requirements definition, implementation, code reviews, verification, and final release in alignment with medical device development processes.
  • Develop and execute software and test plans, protocols, and reports to ensure compliance with design specifications and quality system requirements.
  • Collaborate closely with cross‑functional partners such as Quality Assurance, Regulatory Affairs, Hardware Engineering, and Test Engineering through design and technical reviews.
  • Make and justify critical technical decisions based on sound engineering judgment, investigation, and validation.
  • Document software solutions thoroughly and support knowledge transfer to manufacturing teams for successful scale‑up and production.


Your skills and experience

  • Bachelor's or Master's degree (Preferred) in discipline such as Computer Science.
  • 5+ years of software development experience or equivalent (e.g., 4+ years of Ph.D. research experience in Computer Science).
  • Advanced Object-Oriented Design C++ and Qt Programming Experiences.
  • Experience developing applications on Linux operating systems.
  • Expertise in GPU‑accelerated programming, including OpenGL, GLSL shaders, CUDA Kernels, or general stream programming concepts.
  • Experience with NVIDIA GPU programming.
  • Solid understanding of 2D/3D OpenGL texture mapping techniques.
  • Strong background in computational geometry algorithms.


The base compensation range for this role in the posted location is: $65,200 - $169,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.


Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility


Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.


Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law


Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.