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Salary
≈ $92k – $240k per year (Estimated)
Location
Hybrid (Ramat Gan, Israel)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 25, 2026. Mobileye scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Mobileye is an Israeli company founded in Jerusalem in 1999 by the computer scientist Amnon Shashua and the entrepreneur Ziv Aviram, built on the then-contrarian idea that a single camera and clever software could handle driver assistance without radar or lidar. Its EyeQ system-on-chip has shipped in more than two hundred million vehicles, making it the dominant supplier of vision-based driver assistance to the global car industry. Acquired by Intel for fifteen billion dollars in 2017 and returned to public markets in 2022, the company now sells escalating tiers from basic assistance through the SuperVision and Chauffeur hands-off systems up to the fully driverless Mobileye Drive platform.

Join PUMA, the team developing the deep-learning perceptions solutions at the heart of Mobileye's autonomous-driving system. Our work powers advanced, large-scale multi-task models.

We are looking for an ML Data Engineer to own the engineering foundations behind its development and training. You will build pipelines and tools that process images, video, geometric information, and evaluate model outputs. Working alongside deep-learning researchers, you will eliminate resource-intensive bottlenecks and reduce computation costs and iteration time.

What will your job look like?

  • Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
  • Build tools for data exploration, manipulation, validation, and quality assessment.
  • Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
  • Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across Mobileye.

All you need is:

  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field from a leading university.
  • 4+ years of hands-on software or data-engineering experience.
  • Excellent Python and Linux skills with strong software-engineering foundations.
  • Experience with SQL, Spark, and PyArrow.
  • Experience optimizing distributed pipelines or compute-intensive systems for memory use and parallel execution.
  • Familiarity with PyTorch and ML workflows, including datasets, training, checkpoints, evaluation, and GPU computation.
  • Strong ownership, independent problem-solving, and cross-team collaboration skills.

Nice to have:

  • Master's degree in a relevant field.
  • Experience in computer vision or autonomous-driving systems.
  • Familiarity with model deployment, hardware-aware ML, or specialized AI accelerators.
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