"ai hardware" Jobs
257 open tech roles matching “ai hardware”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, C++, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 257 results
Join SpaceX as a Sourcing Manager to lead the strategy for rack-level cooling and mechanical components in a high-velocity environment.
Join Ambiq as a Memory Design Engineer to innovate ultra-low power memory solutions for advanced SoC products.
Join Base Power Company as a Server Architect to build a distributed GPU fleet for the AI industry.
Join CesiumAstro as a Mechanical Engineer I to develop cutting-edge hardware for aerospace systems in a dynamic startup environment.
Lead the team that validates AI silicon performance at Graphcore, influencing product design and validation processes.
Lead the planning and execution of software development programs for Ambiq's AmbiqSuite SDK in a dynamic, growth-focused environment.
Drive software architecture for low-power Edge AI MCUs at Ambiq, collaborating with cross-functional teams in a fast-paced environment.
Lead commercial engagement and oversee the supply chain for Cloudflare's network hardware across 200+ data centers.
Join CesiumAstro as a Staff FPGA Verification Engineer to lead the verification of FPGA-based hardware solutions for aerospace systems.
Join Mythic as a Senior Silicon Emulation Engineer to develop and validate AI accelerators using hardware emulation platforms.
Lead the development and execution of manufacturing test strategies for next-generation AI server platforms at Graphcore.
Join Graphcore as a Principal Engineer to lead the development of critical system management interfaces for AI solutions.
Join SpaceX as a Sourcing Manager to lead the strategy and supplier management for board-level mechanicals and connectors in AI infrastructure.
Drive the development and optimization of ATE test solutions for integrated circuits at Ambiq, focusing on energy efficiency.
Join Ambiq as a Principal Embedded Software Architect to define the software architecture for next-generation low-power Edge AI MCUs.