Skip to content

Data & AI job board

AI chip and accelerator software jobs

Explore software and machine learning roles making AI models run on specialized processors.
Inference engineer testing an AI accelerator board in a hardware laboratory
Active jobs
27
Companies hiring
2
Inventory checked
2026-10-22

Specialist job board

AI Chips & Accelerators opportunities

27 open roles · Featured, then most recent

What is AI Chips & Accelerators?

AI accelerator companies design processors and the software needed to run models on them. Their software teams translate model operations into efficient execution under memory, power, and latency constraints.

What the work looks like

Relevant roles include inference engineering, model optimization, compiler development, kernel performance, and benchmarking. Engineers compare numerical accuracy and throughput, then adapt model execution to the hardware. This page focuses on Data & AI software roles at these employers.

Skills companies look for

Useful experience includes C++, Python, deep learning frameworks, computer architecture, compilers, quantization, and performance profiling. Working across hardware and software teams helps turn benchmark improvements into reliable model execution.

Dataaxy builds this page from active Data & AI openings at companies classified in AI Chips & Accelerators. A company can belong to more than one sector, while each job keeps its own role, seniority, location, and work-mode classification.

Frequently asked questions

Why Dataaxy

Everything you need for a focused Data & AI job search

  • Specialist job catalogue

    Explore roles across Data Analytics, Data Engineering, Data Science, Machine Learning, and AI.

  • Focused search tools

    Save a search and use job alerts to follow the roles, locations, and work setups that fit.

  • Public talent profiles

    Show recruiters your skills, availability, preferred roles, and work preferences in one place.

© Dataaxy. All rights reserved.Job data is gathered from publicly available sources or contributed by users.