Senior AI Compiler & Runtime Architect (Hybrid)

HTEC

California (MO)

Hybrid

USD 200,000 - 350,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, and vision coverage
401(k) with Company match
Unlimited vacation
Paid holidays
Parental benefits
Employee assistance program

Job summary

HTEC in the United States is seeking a Principal AI Compiler & Runtime Engineer for a hybrid US-based role. You will help define the software foundation for next-gen AI compute platforms, working on compiler tech, AI runtimes, graph optimization, and hardware-aware execution.

The position emphasizes applying AI to solve complex systems, compiler/runtime challenges, and hardware-software co-design, in collaboration with inference, systems, and hardware teams.

Qualifications

  • Strong programming skills in C/C++ and/or Python in Linux environments using common development tools.
  • Solid understanding of machine learning fundamentals and modern AI workloads.
  • Experience applying AI technologies to software engineering, performance optimization, and hardware-aware design challenges.

Responsibilities

  • Build and optimize compiler and runtime infrastructure for modern AI workloads.
  • Enable efficient execution of machine learning models across GPUs, NPUs, TPUs, and custom AI accelerators.
  • Apply modern AI technologies and methodologies to improve software development, system optimization, and software-hardware co-design processes.
  • Collaborate with inference, systems, and hardware teams to improve software-hardware co-design.
  • Investigate and resolve performance bottlenecks through profiling, benchmarking, and system-level analysis.

Skills

C/C++
Python
ML fundamentals
AI optimization

Education

BSc/MSc/PhD in CS/Engineering/Math

Job description

HTEC in the United States is seeking a Principal AI Compiler & Runtime Engineer for a hybrid US-based role. You will help define the software foundation for next-gen AI compute platforms, working on compiler tech, AI runtimes, graph optimization, and hardware-aware execution.

The position emphasizes applying AI to solve complex systems, compiler/runtime challenges, and hardware-software co-design, in collaboration with inference, systems, and hardware teams.

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