Описание

Join PUMA, the team developing the deep-learning perceptions solutions at the heart of Mobileye's autonomous-driving system. This role involves building pipelines and tools to process images, video, and geometric information, and evaluating model outputs.

Responsibilities

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

Requirements

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

We offer

Hybrid work model

Hiring process

Artificial intelligence (AI) tools may be used to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials