Algorithm Engineer, Motion Planning & Decision Making

Imagry is seeking a passionate Algorithms Engineer with a robust background in motion planning and decision-making across various autonomous systems. If you thrive in dynamic, team-oriented settings, we want you on our side. You are planned to be a pivotal part of our mission to pioneer the next generation of autonomous driving solutions in Haifa, Israel.

Role Insights: As a Senior Algorithms Engineer, you will spearhead the creation of cutting-edge motion planning and decision-making algorithms pivotal to our autonomous driving systems' efficacy and safety. You will engage with a diverse team of experts, crafting algorithms that promote astute decision-making and seamless motion planning amidst bustling urban landscapes.

Responsibilities:

• Lead the design and development of the behavioral layer for autonomous driving systems.
• Research, develop, and implement advanced motion planning and decision-making algorithms, ensuring safe and efficient vehicle behavior.
• Collaborate closely with the simulation team to validate and refine algorithms under diverse scenarios.
• Integrate developed algorithms with other subsystems, including perception, control, and system integration.
• Optimize algorithms for efficient execution on targeted platforms.
• Stay informed with the latest research and advancements in autonomous motion planning and decision-making.
• Actively participate in team's technical discussions, code reviews, and brainstorming sessions.

Requirements:

• MSc or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Proven experience in design and development of motion planning and decision-making algorithms for complex environments of products in production.
• Deep understanding of mathematical concepts such as Linear algebra, Non-Linear optimization, statistical inference.
• Proficiency in programming languages C++, Python.
• Relevant experience in the autonomous driving industry or associated domains.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Solid grounding in vehicle dynamics and control theory.
• Familiarity with simulation methodologies including Software-In-the-Loop (SIL) and Hardware-in-the-Loop (HIL).
• Experience with simulation tools such as ROS (Robot Operating System) or analogous frameworks.
• Demonstrated leadership skills in guiding technical projects or initiatives.