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Ethosia Linkedin · Posted 27d ago

Senior Compiler Engineer

Raanana

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Indexed description

As a Senior Compiler Engineer, you will own the design and development of our open-source-based toolchain and graph compiler. You will drive technical solutions end-to-end, deliver compiler capabilities across custom hardware targets, and help mentor engineers. Our team embraces an AI-agentic development flow, leveraging AI coding agents to accelerate engineering productivity, and we are looking for engineers who champion this approach.

Key Responsibilities:

  • Design and develop open-source-based toolchains targeting custom DSP and NPU architectures.
  • Drive the design and delivery of graph compilation flows: transformations, operator mapping, and code generation.
  • Champion AI-agentic development practices — integrating AI coding agents into day-to-day engineering workflows.
  • Own complex components end-to-end, from architecture and design through implementation and delivery.
  • Provide technical guidance and mentorship to engineers; conduct code reviews.
  • Collaborate with hardware architecture, algorithms, and software teams globally.
  • Analyze and optimize toolchain output for performance and correctness across custom processor families.

Requirements:

  • B.Sc. in Computer Science, Electrical Engineering, or a related field.
  • 5+ years of hands-on experience in software development.
  • Strong C++ skills; Python proficiency is a plus.
  • Proven ability to own and deliver complex software components independently.
  • Solid software engineering fundamentals.
  • Strong communication skills; comfortable working in a global, multi-site environment.

Advantages:

  • Hands-on experience with AI-agentic development — using AI coding agents (e.g., GitHub Copilot, Cursor, Claude Code) to drive and accelerate software development.
  • Hands-on experience with LLVM/Clang — backend, instruction selection, register allocation, or code generation.
  • Familiarity with MLIR — dialects, passes, or graph-level compiler development.
  • Knowledge of AI/ML frameworks and neural network execution.
  • Experience with embedded systems, DSP, or NPU architectures.
  • M.Sc. or higher in a relevant field.


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