Mobileye

Director

• Lead the HW board design, PCB layout, mechanical R&D, and DFT teams
• Manage team leaders, set priorities, strengthen technical and managerial capabilities, and mentor engineers, technical leaders, and researchers
• Own end-to-end HW product development from requirements and architecture through qualification and production release
• Work directly with technical automotive customers, understand requirements, and lead technical discussions and decision-making
• Ensure products meet performance, reliability, cost, manufacturability, testability, and automotive-quality targets
• Lead complex technical investigations involving internal teams, customers, suppliers, and manufacturing partners
• Lead the transition from prototype development to industrialization and high-volume production
• Support technology selection, product roadmap, resource planning, recruitment, and organizational development

HW R&D Director

Engineer

• Gain a deep, working understanding of the product, including how the hardware is built, configured, and used
• Write test plans in accordance with system requirements to ensure high-quality products
• Execute manual tests and built-in automated test sets
• Develop and write automation scripts
• Record, investigate, and analyze defects thoroughly
• Collaborate closely with relevant stakeholders and subject matter experts
• Lead and own features and domains from understanding system requirements through defining and executing the validation plan
• Interact with team members and Mobileye departments to develop automation suites based on product behavior

Validation Engineer

Systems Engineer

• Design, implement, and maintain AI-powered solutions and automation workflows across enterprise IS platforms
• Evaluate, pilot, and deploy emerging AI tools and technologies to enhance IS capabilities, streamline processes, and improve operational efficiency
• Lead cross-functional IS projects from requirements gathering through delivery, ensuring timely execution and alignment with business objectives
• Develop and maintain custom scripts, connectors, and technical solutions to bridge gaps between platforms and enable seamless data flow
• Continuously monitor the AI and IS technology landscape, proactively identifying opportunities for innovation and improvement
• Contribute to the definition of IS standards, best practices, and architectural guidelines for AI and automation adoption
• Collaborate with cross-functional teams to understand business needs and translate them into scalable, AI-enhanced IS solutions
• Document technical designs, integration architectures, and operational procedures to ensure knowledge transfer and continuity
• Approximately 80% hands-on engineering, integration development, and platform optimization; 20% strategic thinking, technology evaluation, and IS roadmap development

Senior Information Systems Engineer – AI, Automation

Backend Engineer

• Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment
• Integrate neural network models into production software, including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation
• Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments
• Build and own application-level infrastructure enabling algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints
• Contribute to neural network deployment flows, such as model conversion, inference execution, profiling, and optimization
• Lead end-to-end feature development from design and implementation to integration, testing, and deployment
• Participate in CI/CD processes, automated testing, and development workflows for production algorithm systems
• Collaborate with multiple teams across Mobileye on system architecture and 3D sensing and AI algorithms

Senior C++ Developer – Neural Network Integration, Production 3D Sensing Systems

AI Research Scientist

• Own the full development lifecycle, from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
• Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
• Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
• Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.
• Develop GenAI solutions using massive proprietary datasets and large-scale computing infrastructure for autonomous vehicle applications.

Applied AI Researcher – Visual GenAI

• Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment
• Integrate neural network models into production software, including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation
• Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments
• Build and own application-level infrastructure enabling algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints
• Contribute to neural network deployment flows, including model conversion, inference execution, profiling, and optimization
• Lead end-to-end feature development from design and implementation through integration, testing, and deployment
• Participate in CI/CD processes, automated testing, and development workflows for production algorithm systems
• Collaborate with multiple Mobileye teams on system architecture and 3D sensing and AI algorithms

Recruitment

• Lead end-to-end recruitment processes in a rapidly growing R&D business unit.
• Partner with business units to create innovative and scalable sourcing and hiring strategies.
• Work closely with hiring managers as a trusted recruitment partner and help build excellent teams.
• Source top-notch candidates through multiple sourcing channels and maintain a strong talent pipeline.
• Serve as a point of contact for candidates throughout the hiring process.
• Compile, analyze, and capture data insights to support recruitment decisions, strategy, processes, and activities.
• Lead and participate in cross-organizational recruiting initiatives covering candidate experience, diversity, employer brand, and EVP creation.
• Plan and organize recruiting events and special projects, including meetups, special programs, tech events, panels, and webinars.

Talent Acquisition Partner

Data Engineer

• Design and develop scalable systems and tools that support data operations, workflow management, and pipeline monitoring.
• Collaborate with analysts, product stakeholders, and engineers to define requirements and deliver end-to-end solutions.
• Transform manual processes and ad-hoc scripts into robust production-grade systems.
• Investigate and troubleshoot issues across data pipelines, infrastructure, and operational workflows.
• Take ownership of projects from system design through deployment and continuous improvement.
• Develop primarily in Python within modern production environments.
• Design and develop solutions for data request management, pipeline monitoring, reporting, and operational workflows.
• Coordinate workflow execution, detect blockers and rerun needs, and provide reliable operational visibility across requests, products, and issues.

Experienced Software Engineer – Data Systems & Tools

Machine Learning Engineer

• Develop production deployment systems for classical and machine learning algorithms from research.
• Build robust, scalable inference pipelines.
• Develop primarily in Python and infrastructure tools such as Kubernetes and Docker.
• Maintain existing deployment systems and develop new production capabilities.
• Learn and implement new deployment technologies and best practices for emerging production challenges.
• Stay current with the latest MLOps and inference optimization techniques.
• Bridge cutting-edge machine learning research and robust production deployment.
• Develop production solutions that serve algorithms at scale.

Machine Learning Software Engineer

• Bridge cutting-edge machine learning research and robust production deployment
• Develop production deployment systems for classical and machine learning algorithms
• Build robust, scalable inference pipelines
• Develop primarily in Python and infrastructure tools such as Kubernetes and Docker
• Maintain existing deployment systems and develop new production capabilities
• Learn and implement new deployment technologies and best practices
• Stay current with MLOps and inference optimization techniques
• Address emerging production challenges
• Stay informed about emerging computer vision and NLP solutions

Researcher

• Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods
• Train and evaluate RL policies for difficult, interactive driving scenarios, building on the existing learning-based planner and complementary classical components
• Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures
• Build simulation-based training and closed-loop evaluation workflows
• Turn research ideas into reliable components of the driving stack
• Help take the reinforcement-learning driving planner from simulation to real vehicles
• Define how driving behavior is evaluated, analyze failures in closed loop, and validate improvements on the road
• Work in a small team at Mobileye and collaborate with control and other algorithm teams

HW R&D Director

Validation Engineer

Senior Information Systems Engineer – AI, Automation

Senior C++ Developer – Neural Network Integration, Production 3D Sensing Systems

Applied AI Researcher – Visual GenAI

Senior C++ Developer – Neural Network Integration, Production 3D Sensing Systems

Talent Acquisition Partner

Experienced Software Engineer – Data Systems & Tools

Machine Learning Software Engineer

Machine Learning Software Engineer

Reinforcement Learning Researcher – Learned-Policy Group