Mobileye

Product Manager

• Act as a **technical product owner**, for productizing and driving Mobileye's AV features to meet performance and quality goals.
• Collaborate with internal stakeholders (R&D , Product and Business Development) and external partners to define the product **roadmap**, ensuring alignment with Mobileye's strategy and timelines.
• Own the process of **requirements elicitation** to capture stakeholder needs and translate them into actionable product specifications.
• Define and monitor **data-driven performance KPIs** to ensure product excellence.
• Develop and maintain accurate, comprehensive documentation for internal and external use.
• Support Business Development during pre-sale processes and customer onboarding.
• Partner with leading car manufacturers, including conducting workshops, test drives, and product tuning to ensure adoption and satisfaction.
• Champion **cross-functional collaboration**, managing initiatives in a matrix environment to ensure successful execution.

Senior AV Product Manager – Drive & Urban

Backend Engineer

• We are seeking a highly motivated and skilled Python Data Solutions Specialist to join our team. This role will play a key part in supporting and scaling our data infrastructure, automating processes in data-labeling operation, and driving innovation through AI and analytics tools.
• This is a temporary position for 8 month.

Python Data Solutions Specialist – Temporary Position

Infrastructure Engineer

• 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.

ML Software & Infrastructure Engineer – Student Position

Analyst

• End-to-End Problem Solving: Autonomously "close the loop" on complex issues—moving beyond basic data validation to actively defining problems, understanding their systemic impacts, and independently proposing concrete, deployment-ready solutions.
• System-Wide Collaboration: Collaborate with cross-functional teams to define data requirements and validation objectives, understanding how various components and APIs connect across the broader architecture.
• Deep Data Analysis: Analyze and deep-dive into large, complex datasets, summarizing results into actionable reports and concrete directions to improve the system.
• Process Optimization: Improve the sensitivity, efficiency, effectiveness, and quality of validation processes, delivering mature results that minimize the need for repetitive testing cycles.
• Proactive Mitigation: Monitor validation progress, anticipate potential bottlenecks or risks, and implement mitigation strategies independently.

Live Mapping Validation Analyst

IT Support

• Operate and maintain multi-node GPU compute and training clusters (SLURM), including scheduling policy, quotas, and job troubleshooting.
• Manage the NVIDIA GPU software stack across mixed generations, plus the high-speed interconnect fabric.
• Own storage infrastructure: parallel and network filesystems.
• IT site owner, POC.
• Administer enterprise networking: firewall policy, VPN, SD-WAN, and site connectivity.
• Run identity and directory services, and the SaaS SSO integrations that depend on them.
• Provision and manage a mixed endpoint fleet across Linux, Windows, and macOS.
• Handle server-room operations: power, cooling, UPS, and capacity planning.

IT Specialist

Manager

• Own execution across the Geometry department. Turn ambitious plans into high-quality products that actually ship.
• Make things happen. Remove roadblocks, unblock teams, and keep everyone moving toward the finish line.
• Turn strategy into reality. Partner with Geometry leadership to transform priorities into action -and ideas into products used by real customers.
• See problems before they happen. Identify risks early, make the hard calls, and keep deliveries on track.
• Be the force that connects the dots. Align algorithm, product, data, and engineering teams - without adding friction or slowing anyone down.
• Get into the details. Join technical discussions, challenge assumptions, and help teams find solutions that actually work.
• Build the engine behind execution. Create scalable mechanisms that make the department faster, sharper, and better over time.
• Create visibility, not surprises. Keep leadership and teams aligned on progress, priorities, risks, and decisions.
• Be the person everyone calls when things need to move. The one who takes ownership, breaks through obstacles, and gets things done.

Algorithm Execution Manager

Full-stack Engineer

• Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
• Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
• Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

Senior Algorithm Engineer – Objects Perception

Technical Project Manager

• Deliver results by orchestrating the technical planning, execution, and enablement of key programs.
• Communicate and build rapport with senior executive technical and non-technical team members.
• Anticipate and aggressively remove obstacles that slow or prevent teams from delivering objectives.
• Lead and contribute to the decision-making process and facilitate conflict resolution.
• Draw from your hands-on experience in the relevant technology requested.
• Use critical design thinking to focus on delivery and results.
• Define key program metrics and communicate outcomes, blockers, and program performance.
• Work with management and other leaders to continually identify and implement team process improvements.

Technical Project Manager – AV

Solutions Engineer

• Lead end-to-end integration activities of complex automotive systems and drive technical ownership across multiple domains.
• Analyze complex system behaviors, identify bottlenecks, investigate failures, and drive root-cause analysis activities.
• Work closely with software, hardware, algorithm, and system teams to ensure successful integration and product maturity.
• Develop integration, validation, and debug methodologies for complex multidisciplinary systems.
• Define and execute system-level validation strategies, test plans, and performance evaluations.
• Identify technical risks early and drive mitigation plans.
• Influence system architecture and technical decisions through deep system understanding and data-driven analysis.
• Create technical documentation, validation reports, and engineering recommendations.

System Integration Engineer

Application Engineer

• Own end-to-end radar integration and bring-up, from sensor and ECU interfaces to vehicle networks and the perception data path.
• Reproduce and root-cause complex integration issues using logs, packet captures, bench or vehicle testing, and SIL/HIL/embedded comparisons.
• Work directly with customers and Mobileye’s software, hardware, algorithms, system, and validation teams throughout integration, validation, release, and deployment.
• Develop analysis and automation tools for network traffic, logs, and sensor data.
• Create clear interface guides, application notes, troubleshooting procedures, and technical documentation.
• Represent customer needs, technical risks, and priorities to product and R&D teams.

Customers Integration – Application Engineer

Software Engineer

• Research, design, develop, and implement advanced lidar-based perception algorithms using state-of-the-art deep learning and computer vision techniques
• Develop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding
• Evaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiency
• Analyze and validate algorithms on large-scale real-world datasets collected by Mobileye vehicles worldwide
• Collaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready models
• Optimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platforms
• Stay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems

Computer Vision, Deep Learning Algorithms Developer

• Your job will include a combination of classic programming and algorithm development
• You will develop in both C++ and Python
• You will need to both maintain the product and develop new features
• You will need to learn and develop new algorithms that can address new problems as they arise

Algorithm Developer – Radar/Lidar

DevOps Engineer

• Build and maintain infrastructure for large‑scale AI and HPC workloads across on‑prem and cloud environments
• Operate and enhance our multi‑cloud, multi‑cluster scheduling platform
• Troubleshoot complex issues across the stack: from kernel-level tuning and drivers to networking, storage, and distributed system bottlenecks.
• Ensure the reliability of critical platform services: queuing systems, time-series databases, and logging pipelines
• Develop deeply integrated automation and tooling
• Collaborate with ML engineers and IT engineers to optimize hardware utilization for data intensive workloads
• Drive best practices in system design, observability, and infrastructure-as-code

Senior SRE, Linux Infrastructure Engineer

Project Manager

• Plan and manage execution across teams
• Manage timelines, validation, data readiness, integrations, and infrastructure work.
• Define KPIs and support roadmap planning.
• Help identify and resolve technical blockers.

Execution Project Manager – Temporary Position, Maternity Leave

Field Engineer

• Lead integrations of new features with our System, Software and Algo groups.
• Develop tools to help us shine – it can be GUI tools, Simulators, data validity tools etc. – anything needed to help us win.
• Work closely and Collaborate with our R&D team to understand customer needs and translate them into technical solutions.
• Collaborate with customers throughout the development cycle, from initial concept and feasibility studies to product integration and deployment, including on-site technical support and demonstrations