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Cuda Programming Jobs in Missouri (NOW HIRING)

Yasp

Software Developer - ML/AI Compiler

California, MO · On-site

$80 - $120/hr

What We're Looking For Strong programming skills in Python and C/C++ . Experience with ML ... Familiarity with CUDA , LLVM , Triton , or custom codegen frameworks. Bachelor's or Master's degree ...

Yasp

Research Engineer - AI for Code

California, MO · On-site

$120 - $140/hr

We are looking for a visionary Research Engineer - AI for Code to join our team and drive the core ... CUDA, OpenCL, ROCm) for Nvidia and AMD GPUs. * Contributions to major open-source AI frameworks or ...

NVIDIA Gruppe

Senior Architect

California, MO · On-site

$224 - $356.50/hr

Experience with CUDA, parallel programming, or performance-focused software development. * Experience leading software or product development in a fast paced technical environment. * Contributions to ...

NVIDIA Corporation

Senior Architect

California, MO · On-site

$224 - $356.50/hr

Experience with CUDA, parallel programming, or performance-focused software development.* Experience leading software or product development in a fast paced technical environment.* Contributions to ...

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Cuda Programming information

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$26

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$76

How much do cuda programming jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for cuda programming in Missouri is $50.99, according to ZipRecruiter salary data. Most workers in this role earn between $41.25 and $59.52 per hour, depending on experience, location, and employer.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

What are popular job titles related to Cuda Programming jobs in Missouri?

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

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

The top searched job categories for Cuda Programming jobs in Missouri are:

What cities in Missouri are hiring for Cuda Programming jobs?

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Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $106,051 per year, or $51 per hour.

Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab

NVIDIA Gruppe

California, MO • On-site

$184 - $287.50/hr

Other

Posted 4 days ago

Job description

NVIDIA is seeking a Senior Solutions Architect to drive innovation with healthcare and life sciences customers across North America, focusing on GPU-accelerated simulations for clinical sciences and autonomous labs.

As a pioneer in accelerated computing, NVIDIA empowers pharmaceutical, biotech, and healthcare organizations to unlock new possibilities in patient modeling, laboratory and biomanufacturing robotic systems, and multi‑agent reasoning.

What you will be doing:
  • Guide customers through the end-to-end adoption of GPU‑accelerated AI, from requirements gathering and proof‑of‑concept development to deployment, integration, and ongoing optimization.
  • Architect libraries such as GPU‑accelerated solvers for quantitative systems pharmacology and CPU‑to‑GPU migration of scientific workloads.
  • Perform low-level CUDA optimization, including custom kernels to accelerate simulation and inference workloads in drug discovery.
  • Build physical AI and robotics solutions for autonomous labs and biomanufacturing such as sim‑to‑real VLA pipelines, real‑time control layers, and integration of perception, control, and policy stacks on NVIDIA platforms.
  • Design and deploy biomedical agentic AI systems, such as graph-based retrieval, multi‑hop clinical reasoning, and persistent agent memory.
  • Keep up to date on AI advancements in healthcare, including domain‑specific models, robotics, and agentic frameworks.
  • Engage with life science executives, IT leaders, data scientists, and developers to drive adoption of NVIDIA AI stack.
  • Share your findings through training sessions, white papers, blog posts, and conference talks.
What we need to see:
  • MS, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, Computational Chemistry, Robotics, or related fields with strong applied experience.
  • 8+ years of experience.
  • Proven track record in software development for AI/ML, scientific computing, GPU acceleration, or robotics applied to healthcare or life sciences.
  • Hands‑on experience across at least two of the three focus areas: GPU‑accelerated scientific simulation, sim‑to‑real robotics, and end‑to‑end agentic AI.
  • Proficiency in Python and AI/ML frameworks (PyTorch, LangChain, or custom). Experience with C/C++ and CUDA strongly preferred.
  • Experience deploying and scaling GPU‑accelerated solutions in cloud or HPC environments (OCI, AWS, Azure, or on‑prem clusters).
  • Excellent communication skills with the ability to present complex technical concepts to both technical and non‑technical audiences.
  • Up to 20% travel may be required for on‑site customer engagements.
Ways to stand out from the crowd:
  • Experience building GPU‑accelerated scientific solvers, including low‑level CUDA kernel optimization.
  • Background with sim‑to‑real robotics for life sciences—autonomous labs, biomanufacturing, surgical/clinical platforms—including MuJoCo or Isaac Sim, VLA pipelines, real‑time control layers, and depth/RGB perception stacks.
  • Experience building, deploying, and evaluating agentic AI systems for healthcare—graph RAG over biomedical literature, long‑memory agents, vision‑based clinical event detection in production.
  • Familiarity with NVIDIA libraries and platforms.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD–287,500 USD for Level4, and 224,000 USD–356,500 USD for Level5.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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