Companies in the United States using NumPy
395 companies headquartered in the United States list NumPy as a requirement in 883 open roles. Most of those roles are in data science, AI and machine learning and backend engineering teams. NumPy most often appears next to Python, SQL, Machine Learning, CI/CD and AWS. Roles that need it and state the pay sit at $162k a year in the middle.
Companies with the most open NumPy roles
25 of 395 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Citi | 5000+ | 26 | Backend engineering, Data science, AI and machine learning | $157k |
 Capital One | 5000+ | 24 | AI and machine learning | $227k |
 Anduril Industries | 1001-5000 | 20 | Industrial engineering, Robotics, Backend engineering | $216k |
 CACI International | 5000+ | 18 | AI and machine learning, Data science, Hardware engineering | $137k |
 Micron Technology | 5000+ | 15 | QA and testing, AI and machine learning, Data science | — |
 Susquehanna International Group | 1001-5000 | 11 | Data science, Early careers, Backend engineering | — |
 Booz Allen Hamilton | 5000+ | 10 | Data science, AI and machine learning, Backend engineering | $127k |
 Svitla Systems | 10 | AI and machine learning | — | |
 SailPoint | 1001-5000 | 10 | Backend engineering, QA and testing, Management | — |
 UnitedHealth Group | 5000+ | 10 | AI and machine learning, Data science, Backend engineering | $167k |
 JPMorganChase | 5000+ | 9 | Data science, Backend engineering, Analytics | — |
 GE Vernova | 5000+ | 9 | AI and machine learning, Data science, Analytics | $151k |
 Thermo Fisher Scientific | 1001-5000 | 9 | AI and machine learning, Backend engineering, Management | — |
 Intuit | 1001-5000 | 9 | AI and machine learning, Data science | $215k |
 Millennium Management | 11-50 | 9 | Data science, Backend engineering, AI and machine learning | $175k |
 Itransition | 8 | AI and machine learning | — | |
 Xometry | 1001-5000 | 8 | Data science, Analytics | $188k |
 DV Trading | 1001-5000 | 8 | Data science, Early careers, Backend engineering | — |
 Sourceability | 201-500 | 8 | AI and machine learning | — |
 NVIDIA | 5000+ | 7 | AI and machine learning, HR and recruiting, Hardware engineering | $216k |
 Tiger Analytics | 501-1000 | 7 | AI and machine learning, Data science, DevOps and infrastructure | — |
 NewRocket | 7 | AI and machine learning, Enterprise applications | — | |
 Software Engineering Institute | 1001-5000 | 7 | AI and machine learning, Data science | — |
 Tower Research Capital | 501-1000 | 7 | Data science, Backend engineering, Analytics | — |
 D-Wave | 201-500 | 6 | Solutions engineering, Backend engineering | — |
NumPy in other countries
What these companies also use
Teams hiring for NumPy
Get all 395 companies as a list
Name, website, size, industry and headquarters of every company that requires NumPy, through the API (company.getList with technology=NumPy and country=US). 395 companies × 0.02 credits = 7.9 credits ($0.79).
Questions
How do you know a company uses NumPy?
A company counts when at least one of its open job postings lists NumPy 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 NumPy itself are left out.
Which teams hire for NumPy?
Of the 883 open roles that require it, most are in data science (256), AI and machine learning (250) and backend engineering (91).
What do NumPy roles pay?
393 of the 883 roles state the pay. The middle of their posted ranges is $162k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=NumPy 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.