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Cuda Jobs in Ohio (NOW HIRING)

NTT Ltd.

Lead integration ofcompute, storage, networking, the AI software stack (CUDA,ROCm, Triton, NIM, NVIDIA AI Enterprise,Run:ai,Slurm, Kubernetes / Kubeflow) and managed-service operating models across ...

Booz Allen Hamilton

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of applications and processes. * Contribute to the architecture and implementation of novel approaches for rapidly ...

Nttlimited

Lead integration ofcompute, storage, networking, the AI software stack (CUDA,ROCm, Triton, NIM, NVIDIA AI Enterprise,Run:ai,Slurm, Kubernetes / Kubeflow) and managed-service operating models across ...

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$106K

$195.8K

How much do cuda jobs pay per year?

As of Aug 18, 2026, the average yearly pay for cuda in Ohio is $190,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $194,900.00 and $194,900.00 per year, depending on experience, location, and employer.

What is a CUDA developer?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are some common challenges faced when working as a CUDA developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What are the most commonly searched types of Cuda jobs in Ohio?

The most popular types of Cuda jobs in Ohio are:

What are popular job titles related to Cuda jobs in Ohio?

For Cuda jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Cuda jobs in Ohio look for?

The top searched job categories for Cuda jobs in Ohio are:

Cuda jobs near you
Infographic showing various Cuda job openings in Ohio as of August 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $190,624 per year, or $91.6 per hour.

Senior Software Engineer, Perception Platform

Path Robotics

Columbus, OH • On-site

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

Build the Path Forward
At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.
We're looking for a Senior Software Engineer to be an architect and caretaker of our Perception codebase, building the systems and tools that make it easy for our ML, CV, and robotics engineers to explore ideas and turn them into production-grade solutions. You'll work closely with our research teams and our data platform team, leveraging their data and ML infrastructure expertise, while focusing on creating a robust, scalable, and developer-friendly foundation for our Perception models.
What You'll Do
  • Wrap perception ML models (part registration, seam localization, real-time weld tracking) into reliable production services that ship to our internationally deployed fleet of welding robots.
  • Build gRPC/Protobuf service interfaces with rigorous schema versioning so ML models can evolve seamlessly within our software stack.
  • Own deployment infrastructure, including containerization, CUDA/PyTorch environment management, and GPU memory budgeting.
  • Build observability and telemetry pipelines that surface fleet-wide perception failures, connecting model metrics to operator outcomes and shortening debug cycles.
  • Design data pipelines that close the active-learning loop, ingesting fleet data through annotation tools and routing labeled data back to training services.
  • Help establish software best practices and drive engineering quality through code review, testing harnesses, and CI/CD, and mentor mid-level engineers writing production perception services.

Who You Are
  • 5+ years building production backend systems in Python (C++ is a plus).
  • Expertise in architecture, concurrency, performance, and API design.
  • Deep experience designing and operating gRPC/Protobuf services in production, including schema evolution and backward-compatible API contracts across long-lived clients.
  • Hands-on with containerized deployment, Linux, and GPU compute. Comfortable diagnosing CUDA driver, PyTorch version, and memory allocation issues on inference hardware.
  • Experience building developer tools, frameworks, or platforms, especially those used by ML, CV, or research teams.
  • Comfortable enough with ML and computer vision workflows (training loops, evaluation harnesses, point clouds) to support them in code, even though you don't necessarily tune models yourself.
  • Thrive at the boundary between research and production, translating prototypes into reliable services while enabling the researchers behind them.
Why You'll Love It Here
  • Free lunch every day
  • Flexible PTO
  • Medical, Dental, and Vision insurance
  • 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
  • 401K through Empower
  • Paid Referral Bonus
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

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