AI jobs at AI chip companies: engineering, research and product roles
1,801 open AI roles at 96 AI chip companies in 39 countries: AI engineering (600), AI chips, data centers and edge AI (489), ML infrastructure and MLOps (279), AI research and safety (170). 1,789 of them are open to candidates of any nationality; the rest ask for citizenship or a government security check. 80 mention relocation support.
amd.com • HQ: Santa Clara, United States • Computer Components • AI Chips & Accelerators • Processors, MCUs & AI Chips • 1001-5000 employees • Est. 1969 • Trust B • Hiring 1056, 98 new
HQ: Santa Clara, United States • Computer Components • AI Chips & Accelerators • Processors, MCUs & AI Chips • 1001-5000 employees • Est. 1969 • Trust B • Hiring 1056, 98 new
AMD is an American semiconductor company founded in 1969 and headquartered in Santa Clara, California, that designs processors, graphics chips and adaptive computing hardware without owning fabrication plants. Its Ryzen and Threadripper processors and Radeon graphics serve consumers and creators, EPYC server chips have taken a large share of the data centre market from Intel, and the Instinct accelerators compete for AI training and inference workloads. The 2022 acquisition of Xilinx added field-programmable gate arrays and adaptive systems on chip, and the company also supplies the custom silicon inside the PlayStation and Xbox consoles.
arm.com • HQ: Cambridge, United Kingdom • Processors, MCUs & AI Chips • Semiconductor IP & Chip Design Services • 1001-5000 employees • Est. 1990 • Trust B • Hiring 392, 41 new
HQ: Cambridge, United Kingdom • Processors, MCUs & AI Chips • Semiconductor IP & Chip Design Services • 1001-5000 employees • Est. 1990 • Trust B • Hiring 392, 41 new
Arm Holdings is a British semiconductor and software design company headquartered in Cambridge, England. Rather than manufacturing physical chips directly, Arm designs energy-efficient central processing unit (CPU) architectures and intellectual property (IP), licensing them to major technology partners such as Apple, Qualcomm, Samsung, and Nvidia.
densityai.com • HQ: Mountain View, United States • AI Chips & Accelerators • AI Compute & Inference • Startup • Trust A • Hiring 27, 4 new
HQ: Mountain View, United States • AI Chips & Accelerators • AI Compute & Inference • Startup • Trust A • Hiring 27, 4 new
DensityAI is building inference hardware and systems for frontier AI models, aiming at the fastest inference solution on the market. It hires hardware test engineers, PCB quality engineers, thermal engineers, commercial contracts managers and accounting staff. The company is headquartered in Mountain View, California, United States.
nvidia.com • HQ: Santa Clara, United States • Computer Components • Servers & Data Center Hardware • AI Chips & Accelerators • Processors, MCUs & AI Chips • 5000+ employees • Est. 1993 • Trust B • Hiring 2404, 145 new
HQ: Santa Clara, United States • Computer Components • Servers & Data Center Hardware • AI Chips & Accelerators • Processors, MCUs & AI Chips • 5000+ employees • Est. 1993 • Trust B • Hiring 2404, 145 new
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.
qualcomm.com • HQ: San Diego, United States • Headphones & Audio • Smartphones • Consumer Electronics • Edge AI • Autonomous Driving • Car Electronics • RF & Wireless Hardware • Processors, MCUs & AI Chips • 5000+ employees • Est. 1985 • Trust B • Hiring 1788, 40 new
HQ: San Diego, United States • Headphones & Audio • Smartphones • Consumer Electronics • Edge AI • Autonomous Driving • Car Electronics • RF & Wireless Hardware • Processors, MCUs & AI Chips • 5000+ employees • Est. 1985 • Trust B • Hiring 1788, 40 new
Qualcomm is an American semiconductor and wireless technology company founded in 1985 and headquartered in San Diego, California. It holds foundational patents in CDMA and the 3G, 4G and 5G cellular standards, licensing them to nearly every handset maker in the world, while its chip division designs the Snapdragon platforms that power a large share of Android smartphones, personal computers, wearables and connected cars. The company has been diversifying away from smartphone dependence into automotive digital cockpit and driver assistance systems, industrial internet of things, and on-device AI processing through its Hexagon and Oryon architectures.
cerebras.ai • HQ: Sunnyvale, United States • Servers & Data Center Hardware • AI Compute & Inference • AI Chips & Accelerators • Processors, MCUs & AI Chips • 1001-5000 employees • Est. 2016 • NASDAQ: CBRS • Trust B • Hiring 119, 3 new
HQ: Sunnyvale, United States • Servers & Data Center Hardware • AI Compute & Inference • AI Chips & Accelerators • Processors, MCUs & AI Chips • 1001-5000 employees • Est. 2016 • NASDAQ: CBRS • Trust B • Hiring 119, 3 new
Cerebras Systems is an American computer hardware company founded in 2016 and headquartered in Sunnyvale, California that builds accelerators for artificial intelligence at wafer scale. Instead of assembling clusters from many small chips, it manufactures a single processor the size of an entire silicon wafer, the Wafer Scale Engine, which removes most of the communication overhead in large model training and inference. The company sells CS-series systems to research laboratories and enterprises, operates its own inference cloud known for very high token throughput, and has built large supercomputers with partners including the Gulf technology group G42.
Every engineering, research, product and infrastructure role whose title and advert make AI its work - machine learning and AI engineers, research scientists, LLM, agent and MLOps engineers, computer vision and speech, AI chips and data centers, embodied AI - at any employer, read by Alion's AI role classifier. Data analysts and data engineers are left out, and so is a role that only mentions AI tools.
How fresh is this?
Every role is re-checked on the employer's own careers board at least every 48 hours, and the page is rebuilt every night.
NVIDIA
Qualcomm
AMD
Moore Threads
Intel
Arm Holdings
Horizon Robotics
MediaTek
NXP Semiconductors
Cerebras Systems
Preferred Networks
Mobileye
Huawei Technologies
Graphcore
Renesas Electronics
