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ML Software & Infrastructure Engineer (Student Position)
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Internship
bachelor degree, postgraduate degree
Posted 20d ago
~40 hrs/week
Responsibilities
Develop and optimize post-processing code and ML infrastructure to bridge algorithmic research with production on target hardware. Build robust data processing pipelines and performance analysis tools to accelerate deep learning training processes.
Requirements
Currently pursuing a B.Sc. or M.Sc. in Computer Science or a related field with strong programming skills in C++ and Python. Must be available to work at least 3 days per week and possess a solid foundation in software engineering principles.
Full job description
Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings.
In this role, you will build the software and infrastructure that bridges our algorithmic research with real-world production. You will be responsible for making sure our models run efficiently at scale and on the vehicle's hardware.
\nWhat will your job look like:
• Implement, optimize, and maintain post-processing code that runs directly on Mobileye's target chips (primarily in C++). • Develop and maintain critical ML infrastructure to accelerate the research team's workflow. • Build and manage robust data processing pipelines (ETLs) for large-scale autonomous driving datasets. • Create performance analysis tools and optimize deep learning training processes.
All you need is:
Currently pursuing a B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field from a leading university with high achievements.
Availability to work at least 3 days per week.
Strong hands-on programming skills in both C++ and Python.
Solid foundation in software engineering principles, data structures, and algorithms.
Highly motivated, proactive, and capable of taking ownership of software projects in a fast-paced R&D environment.
Advantages:
Experience working in Linux environments and utilizing tools like Git and Docker.
Familiarity with deep learning frameworks (e.g., PyTorch) and an understanding of how ML training pipelines operate under the hood.
Prior experience with data engineering, ETL pipelines, or database management.
Background in code optimization, embedded systems, or hardware-aware programming.
\n
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!
Related keywords
ML Software EngineerInfrastructure Engineer3D PerceptionAutonomous VehiclesDeep LearningC++PythonETLPyTorchLinuxGitDockerEmbedded SystemsHardware OptimizationData EngineeringR&D
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis.
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems, and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields towards the future of mobility.
Offices: 1 Shlomo HaLevi, West Jerusalem, Jerusalem District, IL · 25301 Dequindre Rd, Madison Heights, Michigan 48071, US · La Piazzola 6F, 2-9-3 Higashi-Shinbashi, Minato-ku, Tokyo, 105-0021, JP · Lütticher Straße, 132, Düsseldorf, North Rhine-Westphalia 40547, DE
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis.
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems, and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields towards the future of mobility.
Offices: 1 Shlomo HaLevi, West Jerusalem, Jerusalem District, IL · 25301 Dequindre Rd, Madison Heights, Michigan 48071, US · La Piazzola 6F, 2-9-3 Higashi-Shinbashi, Minato-ku, Tokyo, 105-0021, JP · Lütticher Straße, 132, Düsseldorf, North Rhine-Westphalia 40547, DE