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Nvidia Engineering Jobs in Columbus, OH (NOW HIRING)

Super Micro Computer

Service Engineer

Columbus, OH · On-site

$79K - $87K/yr

... such as NVIDIA HGX/DGX-based systems. Troubleshoot GPU-related issues (ECC errors, thermal ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent ...

Super Micro Computer

Service Engineer

Columbus, OH · On-site

$79K - $87K/yr

... field engineering organization. Essential Duties and Responsibilities: Includes the following ... as NVIDIA HGX/DGX-based systems. • Troubleshoot GPU-related issues (ECC errors, thermal ...

Supermicro

Service Engineer

Columbus, OH · On-site

$79K - $87K/yr

... field engineering organization. Essential Duties and Responsibilities: Includes the following ... Support GPU platforms such as NVIDIA HGX/DGX-based systems. * Troubleshoot GPU-related issues (ECC ...

Deloitte

Oracle Gen AI Manager

Columbus, OH · On-site

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 Columbus, OH salary details

$44.9K

$141.9K

$168.1K

How much do nvidia engineering jobs pay per year?

As of Aug 31, 2026, the average yearly pay for nvidia engineering in Columbus, OH is $141,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $167,100.00 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 Columbus, OH?

The most popular types of Nvidia Engineering jobs in Columbus, OH are:

What are popular job titles related to Nvidia Engineering jobs in Columbus, OH?

For Nvidia Engineering jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Nvidia Engineering jobs in Columbus, OH look for?

The top searched job categories for Nvidia Engineering jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Nvidia Engineering jobs?

Cities near Columbus, OH with the most Nvidia Engineering job openings:

Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Columbus, OH as of August 2026, with employment types broken down into 75% Full Time, and 25% Temporary. Highlights an 100% In-person job distribution, with an average salary of $141,860 per year, or $68.2 per hour.

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 support a global automotive client in advanced research and prototype development. This role focuses on AI-driven vehicle technologies, embedded systems, and next-generation automotive platforms.

The ideal candidate brings a strong background in automotive software validation, thrives in ambiguous and research-oriented environments, and has a proven ability to develop test strategies for emerging technologies. This position will lead validation efforts across multiple concurrent projects while remaining hands-on in testing and automation.


Key Responsibilities

  • Lead test strategy development and validation activities across multiple automotive software and prototype projects
  • Define test approaches and methodologies for new and emerging vehicle technologies
  • Perform software, embedded, integration, regression, and edge-device testing
  • Support proof-of-concept (POC) and research-driven validation initiatives
  • Capture, analyze, and interpret CAN logs and vehicle communication data
  • Develop and maintain automated test scripts using Python and CAPL
  • Utilize automotive tools such as CANoe, CANalyzer, CANape, and dSPACE for testing and diagnostics
  • Validate applications running on SoC platforms, embedded Linux, and connected vehicle systems
  • Collaborate cross-functionally with software engineering, research teams, and vendors to identify and resolve complex issues
  • Drive defect analysis, root cause investigation, and continuous improvement of validation processes


Required Skills

  • 8+ years of automotive software validation experience
  • Proven experience developing test strategies and validation methodologies
  • Demonstrated ability to solve ambiguous and complex technical problems (experience in R&D, startup, or research environments strongly preferred)
  • Experience defining validation approaches for new or emerging technologies
  • Strong systems-thinking mindset with the ability to see end-to-end interactions
  • Ability to work independently in a research-oriented, fast-paced environment
  • Hands-on experience with automotive tools such as CANoe, CANape, dSPACE, CAPL
  • Strong programming and automation experience using Python
  • Solid background in embedded systems and vehicle communication protocols


Preferred / Nice-to-Have Skills

  • Experience with AI/ML testing or validation
  • Knowledge of data analytics and data pipelines
  • Familiarity with JavaScript
  • Experience with ADAS, autonomous systems, or advanced vehicle technologies
  • Exposure to SoC platforms, edge devices, and embedded Linux environments
  • Familiarity with platforms such as NVIDIA, Qualcomm, or Renesas
  • ISTQB and/or IREB certification
  • Experience supporting rapid prototyping or research-focused development environments


Apply