Companies using Quantization that are hiring now
535 companies list Quantization as a requirement in 966 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 $209k a year in the middle.
Companies with the most open Quantization roles
25 of 535 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
 Qualcomm | United States | 5000+ | 46 | AI and machine learning, Backend engineering, DevOps and infrastructure | $176k |
 NVIDIA | United States | 5000+ | 32 | Solutions engineering, AI and machine learning, Product management | $236k |
 ByteDance | China | 1001-5000 | 16 | AI and machine learning, Backend engineering, Hardware engineering | — |
 TikTok | United States | 1001-5000 | 15 | AI and machine learning, Backend engineering, DevOps and infrastructure | — |
 Tether | El Salvador | 1001-5000 | 12 | AI and machine learning | — |
 Apple | United States | 5000+ | 10 | AI and machine learning, Data science, Backend engineering | — |
 Fireworks AI | United States | 1001-5000 | 9 | AI and machine learning, Solutions engineering, Product management | $215k |
 Alabuga | Russia | 1001-5000 | 8 | AI and machine learning | $47k |
 NXP Semiconductors | United States | 5000+ | 7 | AI and machine learning, Industrial engineering, Backend engineering | — |
 Analog Devices | United States | 5000+ | 7 | AI and machine learning, Hardware engineering | $204k |
 Jumio | United States | 201-500 | 6 | AI and machine learning | — |
 Zoox | United States | 1001-5000 | 6 | AI and machine learning, DevOps and infrastructure | $284k |
 Inworld AI | United States | 201-500 | 6 | AI and machine learning, Solutions engineering | — |
 Norbert Health | United States | 51-200 | 6 | AI and machine learning | — |
 Circana | 6 | Backend engineering | $190k | ||
 Amazon | United States | 5000+ | 5 | AI and machine learning, Backend engineering, DevOps and infrastructure | $169k |
 Adobe | United States | 5000+ | 5 | AI and machine learning, Data science, Engineering leadership | $293k |
 Cerebras Systems | United States | 1001-5000 | 5 | AI and machine learning, QA and testing, Product management | — |
 Intel Corporation | United States | 5000+ | 5 | AI and machine learning, Backend engineering, Robotics | — |
 Micron Technology | United States | 5000+ | 5 | AI and machine learning, Industrial engineering | — |
 SambaNova Systems | United States | 1001-5000 | 5 | DevOps and infrastructure, AI and machine learning, Marketing | $165k |
 JPMorganChase | United States | 5000+ | 5 | AI and machine learning, Engineering leadership | — |
 Applied Intuition | United States | 1001-5000 | 5 | AI and machine learning, Mobile engineering, Industrial engineering | $250k |
 Robots & Pencils | United States | 201-500 | 5 | AI and machine learning, Solutions engineering | — |
 Infineon Technologies | Germany | 1001-5000 | 5 | Hardware engineering, DevOps and infrastructure, Finance | — |
Where these companies are headquartered
What these companies also use
Teams hiring for Quantization
Get all 535 companies as a list
Name, website, size, industry and headquarters of every company that requires Quantization, through the API (company.getList with technology=Quantization). 535 companies × 0.02 credits = 10.7 credits ($1.07).
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 966 open roles that require it, most are in AI and machine learning (638), backend engineering (75) and hardware engineering (51).
What do Quantization roles pay?
340 of the 966 roles state the pay. The middle of their posted ranges is $209k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Quantization 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.