Skill
CUDA
Data Science, Analytics and AI/ML
CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA that lets developers use GPUs for general-purpose computing, not just graphics rendering. It's widely used by data scientists, machine learning engineers, and researchers to accelerate deep learning training, scientific simulations, and other computationally intensive workloads on NVIDIA hardware. CUDA underpins major ML frameworks like PyTorch and TensorFlow when running on GPU.
CUDA in the job market
Last checked September 13, 2026
- Open roles
- 108
- Employers
- 23
- Median pay
- $242,000
- Disclose pay
- 88%
on Career App right now
hiring for it
from 95 roles
of these roles
Open roles requiring CUDA (108)
Lead Scene Generation Engineer
AeroVironment
Full-time · Huntsville, AL
This role develops and validates physics-based 3D synthetic environments for military simulation and testing, requiring deep expertise in radiometric rendering, graphics programming, and real-time systems integration. It suits experienced software engineers comfortable leading technical work on complex modeling systems within defense contracting.
Listed on AeroVironment’s careers site · Apply there ↗
Senior Software Engineer - AI Agents
Visa Inc.
Full-time · $123,000 – $190,900
This role involves building secure, production-grade AI agent systems and generative AI capabilities for enterprise use across Visa's business units. It suits engineers with hands-on experience developing AI applications who want to work on infrastructure and tools that scale across a large financial organization.
Listed on Visa Inc.’s careers site · Apply there ↗
Infra Transformation Manager
Accenture
This role leads the design and delivery of AI-ready infrastructure platforms for enterprise clients, handling GPU-based systems, cloud migrations, and high-performance computing environments. It suits experienced infrastructure leaders comfortable with client engagement, team leadership, and emerging AI compute technologies.
Listed on Accenture’s careers site · Apply there ↗
Solutions Architect, Infrastructure
NVIDIA
$152,000 – $287,500
NVIDIA seeks an Infrastructure Solutions Architect to guide deployment of next-generation data center GPUs and networking platforms at hyperscale, serving as a technical bridge between product teams and large enterprise customers. This role combines hands-on infrastructure expertise with cross-functional leadership to accelerate adoption of NVIDIA technologies globally.
Listed on NVIDIA’s careers site · Apply there ↗
AI Performance Library Architect
Intel
Full-time · $170,500 – $315,490
Intel is seeking a software engineer to design and optimize neural network performance libraries in the oneDNN project, supporting AI frameworks across CPUs and GPUs. The role suits developers with deep expertise in performance engineering, low-level optimization, and linear algebra who want to influence AI infrastructure used across the industry.
Listed on Intel’s careers site · Apply there ↗
Principal Machine Learning Engineer
Unity
Mountain View, CA · $278,100 – $417,100
This role leads the engineering effort to run advanced AI models efficiently on consumer devices within a web-native runtime, optimizing for speed, memory, and power. It suits a senior systems engineer with deep expertise in model deployment, GPU programming, and real-time performance optimization who thrives on closing the gap between research models and shipped products.
Listed on Unity’s careers site · Apply there ↗
AI Infrastructure Engineer
NIO
Full-time · San Jose, CA · $192,100 – $249,600
NIO is hiring a senior engineer to build production inference systems for large language and vision models across cloud and edge devices in their autonomous vehicle platform. This role suits someone with deep experience optimizing AI workloads on accelerators who wants to ship real-world impact at scale.
Listed on NIO’s careers site · Apply there ↗
Perception Engineer
Motional
Full-time · Boston, MA · $165,000 – $197,698 · Remote
This role involves developing and optimizing AI models for autonomous vehicle perception systems, requiring hands-on experience with machine learning deployment, robotics integration, and GPU acceleration. It suits engineers with automotive software backgrounds who are comfortable moving models from research to production and iterating based on real-world performance.
Listed on Motional’s careers site · Apply there ↗
Research Engineer, Large-Scale Training
Together AI
Full-time · San Francisco, CA · $200,000 – $290,000
A Research Engineer role focused on building and optimizing large-scale training infrastructure for foundation models at Together AI. This suits engineers who combine systems expertise with ML knowledge and enjoy translating research into production systems that serve real customers.
Listed on Together AI’s careers site · Apply there ↗
Staff Applied AI Inference Engineer
Crusoe
San Francisco, CA · $250,000 – $300,000
Crusoe is seeking an experienced engineer to optimize how large language models run in production, focusing on inference performance, cost, and reliability. This role combines deep systems work with customer collaboration, taking optimizations from concept through to deployed, monitored services.
Listed on Crusoe’s careers site · Apply there ↗
Asked for alongside CUDA
Measured from the 108 open roles that name CUDA — not from a curated list.
- Python70 roles64.8%
- C++55 roles50.9%
- PyTorch52 roles48.1%
- TensorFlow24 roles22.2%
- JAX21 roles19.4%
- Linux20 roles18.5%
- Kubernetes17 roles15.7%
- Rust12 roles11.1%
What employers state they pay
Median
$242,000
Middle half
$220,000 – $285,000
From 95 of 108 open roles — the 88% that publish a range, annualized to USD. Only some employers state pay, and the ones that do skew to California and New York, where the law requires it.
Who employers are hiring
- Entry4%
- Mid12%
- Senior64%
- Lead / Staff / Principal18%
- Management1%
From 98 roles whose posting states a level.
Where CUDA roles are
Among the 72 of 108 open roles we could place on a map.
Roles that use CUDA
Employers hiring for CUDA
23 in total, most open roles first.
- NVIDIA50 roles
- TATogether AI10 roles
- MMotional8 roles
- CCohere6 roles
- MPMenlo Ventures Portfolio5 roles
- XXPeng4 roles
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.