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Nvidia Engineering Jobs in Ohio (NOW HIRING)

$140 - $210/hr

NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been ... Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent ...

New

... 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 ...

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 ...

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 ...

Service Engineer

Columbus, OH · On-site

$79 - $87/hr

... 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 ...

$90 - $140/hr

Bachelor's or Master's degree in Electrical Engineering, Electronic Engineering, Mechatronics ... Knowledge of electrical integration for Linux-based compute platforms such as NVIDIA Jetson or ...

$74.08 - $108.27/hr

... Engineer / IT-Consultant - Omnissa Horizon (m/w/d). Gestalten Sie mit uns die Zukunft der ... B. NVIDIA GRID/vGPU) sowie Performance‑Optimierungen, Monitoring und Troubleshooting. * Sie ...

Forward Deployed Engineer

Dayton, OH · On-site

$85 - $110/hr

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 ...

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 ...

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 ...

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 ...

$81.43 - $104.70/hr

Du hast mehrjährige praktische Erfahrung mit Machine Learning, Deep Learning oder AI Engineering ... Nvidia GPU, Linux oder Windows * Du hast Interesse an Robotik, Automatisierung, Sensorik oder ...

$75 - $104/hr

Bachelor's or Master's degree in Electrical/Electronic Engineering, Mechatronics, Computer ... Knowledge of electrical integration for Linux-based compute platforms such as NVIDIA Jetson or ...

$90 - $130/hr

A university degree (Bachelor's or Master's) in Robotics, Computer Science, Mechanical Engineering ... NVIDIA Isaac Sim or PyBullet * Confident handling of robot and environment modelling (URDF, MJCF ...

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Nvidia Engineering information

See Ohio salary details

$44.2K

$139.6K

$165.4K

How much do nvidia engineering jobs pay per year?

As of Sep 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 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 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 cities in Ohio are hiring for Nvidia Engineering jobs?

Cities in Ohio with the most Nvidia Engineering job openings:

Infographic showing various Nvidia Engineering job openings in Ohio as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $139,627 per year, or $67.1 per hour.

Developer Relations Manager, Retail & Media Entertainment

Visa Hunt

On-site

$140 - $210/hr

Other

Posted 2 days ago

New


Job description

NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been powering up Deep Learning, AI, accelerated data analytics, autonomous systems and robots around the world. NVIDIA's customers include global tech-titans and span multiple verticals such as Manufacturing, Retail, Automotive, Media and Entertainment, CSP, Healthcare, Telco and others.

We are rapidly growing into various industries and verticals. We’re looking for a technical Developer Relations Manager to lead engagement with startups and software partners building AI agents and generative AI applications for the retail and media and entertainment industries.This role is a key member of the NVIDIA team that would manage our technical engagements in Retails and Media and Entertainment industries. In this role you will evangelize NVIDIA’s portfolio of technologies and accelerate its adoption among developers in this space. You should have a strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers.

What you will be doing:
  • Act as the technical point of contact for startups and developers who are building native LLM and multi-modal applications or want to add AI Agents to their existing apps.
  • Help developers leverage NVIDIA’s tools for Gen AI and LLMs—including Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines—to optimize model performance and scalability.
  • Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows.
  • Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms.
  • Guide startups through integration with NVIDIA’s Gen AI stack and support their certification in NVIDIA partner programs.
  • Represent the company at industry events, in customer meetings, developer meetups, and hackathons—evangelizing our LLM and Agentic AI strategy to technical and industry audiences.
  • Gather developer feedback to inform product and roadmap decisions related to LLM inference, training, and deployment tooling.
  • Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
What we need to see:
  • Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.
  • Experience in verticals/industries with good knowledge and trends in the industry.
  • Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.
  • You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.
  • 5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.
  • Able to work independently and possess excellent communication skills to drive customer and internal engagements.
  • Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
  • Execute and accelerate strategic decisions
  • Ability to effectively deliver value propositions for specific and targeted industries.
  • Ensure a positive experience for external customers and partners while working cross functionally within our organization.
Ways to stand out from the crowd:
  • Hands-on experience building or optimizing retail or media-specific solutions.
  • Proven expertise in influencing and inspiring non-technical, C-level decision-makers.
  • Strong industry knowledge; direct experience in Retail, Media & Entertainment in EMEA.
  • Familiarity with advanced computing, AI, and/or GPU acceleration platforms including CUDA, Triton and NeMo.
  • Track record in designing and implementing systems for real-time processing and low-latency decision-making.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Originally posted on Himalayas

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