Companies in the United States using Quantization
243 companies headquartered in the United States list Quantization as a requirement in 526 open roles. Most of those roles are in AI and machine learning, backend engineering and hardware engineering teams. Quantization most often appears next to Python, Machine Learning, PyTorch, CI/CD and LLM. Roles that need it and state the pay sit at $215k a year in the middle.
Companies with the most open Quantization roles
25 of 243 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 46 | AI and machine learning, Backend engineering, DevOps and infrastructure | $176k | |
| 5000+ | 32 | Solutions engineering, AI and machine learning, Product management | $236k | |
| 1001-5000 | 15 | AI and machine learning, Backend engineering, DevOps and infrastructure | — | |
| 5000+ | 10 | AI and machine learning, Data science, Backend engineering | — | |
| 1001-5000 | 9 | AI and machine learning, Solutions engineering, Product management | $215k | |
| 5000+ | 7 | AI and machine learning, Industrial engineering, Backend engineering | — | |
| 5000+ | 7 | AI and machine learning, Hardware engineering | $204k | |
| 201-500 | 6 | AI and machine learning | — | |
| 1001-5000 | 6 | AI and machine learning, DevOps and infrastructure | $284k | |
| 201-500 | 6 | AI and machine learning, Solutions engineering | — | |
| 51-200 | 6 | AI and machine learning | — | |
| 5000+ | 5 | AI and machine learning, Backend engineering, DevOps and infrastructure | $169k | |
| 5000+ | 5 | AI and machine learning, Data science, Engineering leadership | $293k | |
| 1001-5000 | 5 | AI and machine learning, QA and testing, Product management | — | |
| 5000+ | 5 | AI and machine learning, Backend engineering, Robotics | — | |
| 5000+ | 5 | AI and machine learning, Industrial engineering | — | |
| 1001-5000 | 5 | DevOps and infrastructure, AI and machine learning, Marketing | $165k | |
| 5000+ | 5 | AI and machine learning, Engineering leadership | — | |
| 1001-5000 | 5 | AI and machine learning, Mobile engineering, Industrial engineering | $250k | |
| 201-500 | 5 | AI and machine learning, Solutions engineering | — | |
| 5 | Engineering leadership | — | ||
| 1001-5000 | 5 | AI and machine learning, Engineering leadership | — | |
| 5000+ | 4 | AI and machine learning, Backend engineering | $189k | |
| 11-50 | 4 | AI and machine learning, Backend engineering, Hardware engineering | — | |
| 1001-5000 | 4 | DevOps and infrastructure, AI and machine learning, Solutions engineering | — |
Quantization in other countries
What these companies also use
Teams hiring for Quantization
Get all 243 companies as a list
Name, website, size, industry and headquarters of every company that requires Quantization, through the API (company.getList with technology=Quantization and country=US). 243 companies × 0.02 credits = 4.86 credits ($0.49).
Questions
How do you know a company uses Quantization?
A company counts when at least one of its open job postings lists Quantization 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 Quantization itself are left out.
Which teams hire for Quantization?
Of the 526 open roles that require it, most are in AI and machine learning (317), backend engineering (47) and hardware engineering (28).
What do Quantization roles pay?
245 of the 526 roles state the pay. The middle of their posted ranges is $215k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Quantization 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.
