Originally forged as a semiconductor hub during the microelectronics boom of the 1980s, Austin has evolved from “Silicon Hills” into one of the nation’s leading AI capitals. Global cloud providers, chipmakers and enterprise software companies there hire AI engineers to build the full technology stack — from custom silicon and hyperscale cloud infrastructure to enterprise copilots and autonomous, driverless systems. As investment in artificial intelligence accelerates, AI engineers are commanding average salaries at about $145,000 across the Austin area.
Here’s a list of active metro-based companies that regularly hire for the role.
Top Companies Hiring AI Engineers in Austin
- Amazon
- Apple
- Tesla
- Oracle
Top Companies Hiring AI Engineers in Austin
Industry: Internet Search, Artificial Intelligence
What they do: Google powers six individual platforms that each host more than 2 billion active monthly users, ranging from Search and YouTube to Android and Maps. The company’s downtown Austin campus is critical to its overall machine learning operations, where engineering teams work on custom tensor processing unit compiler pipelines, Gemini-powered Google Cloud infrastructure and low-latency Android AI features used globally.
Industry: Computer Hardware, Enterprise Technology
What they do: Dell Technologies manufactures nearly a third of the world’s enterprise server hardware, which is now providing the compute power running today’s AI workloads. From its global headquarters in Round Rock, Dell’s local teams design its entire AI infrastructure portfolio, integrating PowerEdge servers, Nvidia GPUs and high-performance storage into production-ready systems.
Industry: Consumer Electronics, Artificial Intelligence
What they do: Apple supports more than two-and-a-half billion devices globally. At the company’s 133-acre campus in North Austin, AI and hardware engineers work together to develop machine learning verification tools for Apple silicon, while building the inference systems and neural engine software that enable AI features across iPhones and Mac computers.
Industry: Automotive, Autonomous Vehicles
What they do: General Motors keeps tens of millions of connected vehicles on the road while recording billions of miles driven using its hands-free Super Cruise system. At its Austin Innovation Center, AI engineers analyze all of that data to improve driver-assistance systems, while building the cloud software behind OnStar’s connected vehicle platform.
Industry: Electric Vehicles, Artificial Intelligence
What they do: Tesla has sold millions of electric vehicles globally that collectively accumulate billions of miles of real-world driving data to train its full self-driving neural networks. At its 2,500-acre Gigafactory Texas headquarters in Austin, AI engineers construct the Cortex supercomputer — a giant compute cluster packing over 50,000 NVIDIA H100 GPUs, which trains end-to-end vision models for full self-driving, Cybercab robotaxis and Optimus humanoid robots.
Industry: Financial Technology, Payments
What they do: Each year, Visa facilitates 300 billion electronic payment transactions across more than 200 countries. Its Austin tech campus focuses on payment security, where AI engineers design real-time deep learning models, train predictive fraud scoring algorithms and scale VisaNet AI infrastructure that can authorize transactions in one millisecond.
Industry: Semiconductors, Artificial Intelligence
What they do: It’s hard to overstate Nvidia’s influence on modern AI, as its graphics chips power 80 percent of the world’s data center sprawl, where AI training happens. Its engineers build CUDA libraries, TensorRT inference tools and networking software that help companies train larger models across thousands of connected GPUs.
Industry: Cloud Computing, E-Commerce
What they do: Amazon’s AWS platform powers about 30 percent of global cloud infrastructure, while its online marketplace processes more than 15 million orders every day. Behind those products, AI engineers at its Annapurna Labs build custom AI chips and machine learning infrastructure that helps power AWS and Amazon’s growing portfolio of generative AI products.
Industry: Enterprise Software, Information Technology
What they do: IBM’s mainframe software processes more than 70 percent of global commercial transactions. Its AI engineering teams focus on building enterprise-grade foundation models — like the open-source Granite series — and scaling backend infrastructure for the company’s flagship watsonx.ai platform.
Industry: Enterprise Software, Cloud Computing
What they do: Oracle manages mission-critical databases for more than 400,000 enterprise clients, storing a massive share of the world's business data. At its global headquarters in Austin, AI engineers develop AI agents and database technologies that let businesses securely run large language models against their own enterprise data.
