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Mobileye
Mobileye

Experienced Deep Learning Optimization Engineer- Compilers Team

Israel
Full-Time
Hybrid

TLDR

Develop and optimize an LLVM-based compiler for EyeQ hardware, analyze generated code and benchmarks, and collaborate with chip architects.

Mobileye is the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.

Mobileye is providing an end-to-end software solution for development and deploying features on its HW chip - EyeQ.

The compilers team is looking for a C++ Software engineer with a passion for low level optimizations and code analysis.

What will your job look like?

  •  Develop and extend a compiler based on the LLVM infrastructure to support and optimize Mobileye's EyeQ hardware.
  • Implement and improve middle‑end and back‑end compiler optimizations.
  • Analyze generated code to improve performance and efficiency.
  • Perform real-world benchmark analysis to find optimization opportunities.
  • Collaborate with chip architects on defining and supporting future hardware generations.

    • All you need is:

  • B.Sc. in Computer Science, Computer Engineering, or a related field - Must.
  • 3+ experience in C/C++ and Python - Must.
  • Fluent English communication skills, both written and spoken.
  • Experience with low‑level, firmware, or embedded software development and debugging.
  • Familiarity with compiler technologies, particularly LLVM or MLIR.
  • Experience analyzing benchmarks and performance data.

    • Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

    Mobileye
    Mobileye

    Mobileye is a technology company at the forefront of the mobility revolution, developing advanced autonomous-driving and driver-assist systems. Our cutting-edge expertise in computer vision and machine learning not only powers self-driving vehicles but also enhances mobility infrastructure through sophisticated data analysis. With innovations like REM crowdsourced mapping and Responsibility-Sensitive Safety (RSS), we are shaping the future of intelligent transport.

    Founded
    Founded 1999
    Employees
    500+ employees
    Industry
    automotive
    Funding stage
    Public
    Stock ticker
    Publicly traded (MBLY)
    Total raised
    $3B raised
    Artificial Intelligence Automotive & Mobility Education
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