Companies in the United States using CUDA Toolkit
273 companies headquartered in the United States list CUDA Toolkit as a requirement in 651 open roles. Most of those roles are in AI and machine learning, backend engineering and DevOps and infrastructure teams. CUDA Toolkit most often appears next to CUDA, 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 Toolkit roles
25 of 273 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Capital One | 5000+ | 44 | AI and machine learning | $246k |
 TikTok | 1001-5000 | 18 | DevOps and infrastructure, Backend engineering, AI and machine learning | — |
 Zoox | 1001-5000 | 16 | AI and machine learning, Backend engineering, Hardware engineering | $274k |
 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 |
 Uvation | 201-500 | 7 | DevOps and infrastructure, Solutions engineering | — |
 Adobe | 5000+ | 6 | AI and machine learning, Engineering leadership | $260k |
 d-Matrix | 501-1000 | 6 | Backend engineering, AI and machine learning | $240k |
 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 |
 Qualcomm | 5000+ | 5 | AI and machine learning, Backend engineering | — |
 eBay | 5 | AI and machine learning, Backend engineering | — | |
 Lightning AI | 501-1000 | 5 | AI and machine learning, Product management | $224k |
 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 Toolkit in other countries
What these companies also use
Teams hiring for CUDA Toolkit
Get all 273 companies as a list
Name, website, size, industry and headquarters of every company that requires CUDA Toolkit, through the API (company.getList with technology=CUDA Toolkit and country=US). 273 companies × 0.02 credits = 5.46 credits ($0.55).
Questions
How do you know a company uses CUDA Toolkit?
A company counts when at least one of its open job postings lists CUDA Toolkit 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 Toolkit itself are left out.
Which teams hire for CUDA Toolkit?
Of the 651 open roles that require it, most are in AI and machine learning (301), backend engineering (139) and DevOps and infrastructure (65).
What do CUDA Toolkit roles pay?
384 of the 651 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 Toolkit 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.