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Nvidia Engineering Jobs in Ohio (NOW HIRING)

Altair Engineering

CAE Engineer L2

Raymond, OH · On-site

Bachelor's or Master's degree in Mechanical, Aerospace Engineering or related field. * 3+ years of ... Understanding HPC environments, parallel computing, and GPU acceleration (HPC clusters, NVIDIA A100 ...

Altair Engineering, Inc.

Bachelor's or Master's degree in Mechanical, Aerospace Engineering or related field. * 3+ years of ... Understanding HPC environments, parallel computing, and GPU acceleration (HPC clusters, NVIDIA A100 ...

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100K - $138K/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 ...

Machina Labs

Forward Deployed Engineer

Dayton, OH

About Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is ... Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that ...

Machina Labs

Forward Deployed Engineer

Dayton, OH · On-site

About Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is ... Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that ...

Machina Labs

Forward Deployed Engineer

Dayton, OH

About Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is ... Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that ...

Advantech USA

Application Engineer

Cincinnati, OH · On-site

Provide product engineering support to product managers, sales, channel partners and customers ... Experience with Nvidia GPU API and deployment, highly desirable. * Experience with Android ...

Advantech

Application Engineer

Cincinnati, OH · On-site

Provide product engineering support to product managers, sales, channel partners and customers ... Experience with Nvidia GPU API and deployment, highly desirable. * Experience with Android ...

Deloitte

Physical AI Senior Manager

Cincinnati, OH · On-site

... NVIDIA, Siemens, AWS and others). * Candidates should be comfortable in factories, warehouses, and leadership conference rooms with the experience to translate between controls engineers, data ...

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All JobsNvidia Engineering JobsNvidia Engineering Jobs in Ohio

Nvidia Engineering information

See Ohio salary details

$44.2K

$139.6K

$165.4K

How much do nvidia engineering jobs pay per year?

As of Jul 3, 2026, the average yearly pay for nvidia engineering in Ohio is $139,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $164,500.00 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 Ohio? The most popular types of Nvidia Engineering jobs in Ohio are:
What are popular job titles related to Nvidia Engineering jobs in Ohio? For Nvidia Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Nvidia Engineering jobs in Ohio look for? The top searched job categories for Nvidia Engineering jobs in Ohio are:
What cities in Ohio are hiring for Nvidia Engineering jobs? Cities in Ohio with the most Nvidia Engineering job openings:
Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Ohio as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $139,627 per year, or $67.1 per hour.
Embedded Software Test Lead for Global Automotive Company in Raymond, OH

Embedded Software Test Lead for Global Automotive Company in Raymond, OH

OSI Engineering

Raymond, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an Embedded Software Test Lead to join a Global Automotive Company in Raymond, OH. You’ll support advanced automotive research and prototype projects focused on AI-driven vehicle technologies, embedded systems, and edge-device platforms. This role will lead test strategy and validation efforts across multiple concurrent projects, combining hands-on testing, embedded validation, software testing, and proof-of-concept support in a fast-paced engineering environment.


Key Responsibilities

  • Lead test strategy and validation activities across multiple automotive software projects
  • Perform software, embedded, integration, regression, and edge-device testing
  • Support proof-of-concept and prototype validation initiatives
  • Capture and analyze CAN logs and vehicle communication data
  • Develop and maintain automated test scripts using Python and CAPL
  • Utilize Vector tools including CANoe and CANalyzer for testing and diagnostics
  • Validate applications running on SOC, embedded Linux, and vehicle-connected platforms
  • Collaborate with software engineering, research, and vendor teams to identify and resolve issues
  • Support test planning, defect analysis, and continuous process improvement efforts

Required Skills & Qualifications

  • 8+ years of software testing and validation experience
  • Strong background in embedded systems and software testing
  • Experience with CANoe, CANalyzer, and CAPL scripting
  • Proficiency with Python and familiarity with C/C++
  • Experience with CAN data analysis and vehicle communication systems
  • Ability to manage multiple concurrent projects in a fast-paced environment
  • Strong troubleshooting, analytical, and communication skills

Preferred / Bonus Skills

  • Automotive industry experience
  • Experience with AI-driven applications or intelligent vehicle technologies
  • Familiarity with SOC platforms, edge devices, and embedded Linux environments
  • Exposure to NVIDIA, Qualcomm, or Renesas platforms
  • ISTQB and/or IREB certification
  • Experience supporting rapid prototype or research-focused development environments

Apply