Companies in the United States using CUDA
271 companies headquartered in the United States list CUDA as a requirement in 660 open roles. Most of those roles are in AI and machine learning, backend engineering and DevOps and infrastructure teams. CUDA most often appears next to CUDA Toolkit, Python, C++, PyTorch and Kubernetes. Roles that need it and state the pay sit at $211k a year in the middle.
Companies with the most open CUDA roles
25 of 271 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Capital One | 5000+ | 48 | AI and machine learning | $246k |
 TikTok | 1001-5000 | 18 | DevOps and infrastructure, Backend engineering, AI and machine learning | — |
 Zoox | 1001-5000 | 17 | AI and machine learning, Backend engineering, Hardware engineering | $280k |
 Together AI | 501-1000 | 14 | AI and machine learning, DevOps and infrastructure | $230k |
 Northrop Grumman | 5000+ | 13 | Backend engineering, Hardware engineering, DevOps and infrastructure | $143k |
 CACI International | 5000+ | 13 | AI and machine learning, Backend engineering, Hardware engineering | $127k |
 RTX | 5000+ | 12 | Backend engineering, Hardware engineering, AI and machine learning | $126k |
 Booz Allen Hamilton | 5000+ | 9 | AI and machine learning, Backend engineering, Quantum computing | $142k |
 DeepInfra | 501-1000 | 9 | Backend engineering | — |
 KLA Corporation | 5000+ | 8 | Backend engineering, Industrial engineering, AI and machine learning | $184k |
 Hewlett Packard Enterprise | 5000+ | 8 | AI and machine learning, Backend engineering | $178k |
 CoreWeave | 501-1000 | 8 | Backend engineering, AI and machine learning, Industrial engineering | $212k |
 Supermicro | 1001-5000 | 7 | DevOps and infrastructure, Networking, AI and machine learning | $155k |
 Uvation | 201-500 | 7 | DevOps and infrastructure, Solutions engineering | — |
 Qualcomm | 5000+ | 6 | AI and machine learning, Backend engineering | $212k |
 d-Matrix | 501-1000 | 6 | Backend engineering, AI and machine learning | $240k |
 Lightning AI | 501-1000 | 6 | AI and machine learning, Product management | $210k |
 Crusoe | 1001-5000 | 6 | AI and machine learning, Product management, DevOps and infrastructure | $275k |
 CHAOS Industries | 201-500 | 6 | Backend engineering | $190k |
 Origin | 51-200 | 6 | AI and machine learning, Robotics, Science and research | — |
 OpenAI | 1001-5000 | 5 | Backend engineering, AI and machine learning, Hardware engineering | $398k |
 Adobe | 5000+ | 5 | AI and machine learning, Engineering leadership | $252k |
 Red Hat | 5 | AI and machine learning, Solutions engineering | — | |
 Vast.ai | 5 | AI and machine learning, Technical support, Product management | $120k | |
 Inworld AI | 201-500 | 5 | AI and machine learning | — |
CUDA in other countries
What these companies also use
Teams hiring for CUDA
Get all 271 companies as a list
Name, website, size, industry and headquarters of every company that requires CUDA, through the API (company.getList with technology=CUDA and country=US). 271 companies × 0.02 credits = 5.42 credits ($0.54).
Questions
How do you know a company uses CUDA?
A company counts when at least one of its open job postings lists CUDA as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of CUDA itself are left out.
Which teams hire for CUDA?
Of the 660 open roles that require it, most are in AI and machine learning (312), backend engineering (135) and DevOps and infrastructure (66).
What do CUDA roles pay?
396 of the 660 roles state the pay. The middle of their posted ranges is $211k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=CUDA and country=US returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.