Staff AI Inference and Acceleration Engineer

Highlights

• Own on-board inference architecture for humanoid robots in home and commercial use.
• Drive down power and cost while meeting strict latency demands of real-time autonomy.
• Evaluate next-gen acceleration hardware to shape future robot compute platforms.

Ideal candidate

Systems-minded accelerator expert with 8+ years mapping AI workloads to edge hardware. You thrive owning compute tradeoffs across power, latency, and cost and collaborating across hardware, software, and ML teams.

Requirements

• M.S. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or related field or equivalent experience
• At least 8 years of industry experience in hardware acceleration, ML systems, or compute architecture
• Deep understanding of AI/ML inference, model formats, runtimes, and deployment pipelines
• Hands-on experience optimizing models for edge or embedded hardware using quantization, pruning, and operator tuning
• Strong understanding of computer architecture, memory hierarchies, data movement, and heterogeneous compute
• Experience profiling and benchmarking inference workloads across CPU, GPU, NPU, DSP
• Familiarity with low-level toolchains and compilation frameworks
• Solid software engineering skills in C++ and Python
• Strong cross-functional communication skills across hardware, software, and AI/ML teams