Software Engineer – Vehicle Motion Planning, Control

Zendar

. Develop trajectory planning and decision-making algorithms for safe, smooth, dynamically feasible motion in dynamic, uncertain environments .

Posted 9/18/2026full-timeParis • FranceMid-LevelSenior💰 €75,000 - €90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing trajectory planning and decision-making algorithms for autonomous vehicles, with a strong foundation in C++ and Python programming. Capable of architecting and validating control algorithms while analyzing performance metrics and implementing safety measures.

Highest-signal resume keywords

C++ ProgrammingPython ProgrammingMotion PlanningVehicle DynamicsReal-Time Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Trajectory PlanningDecision MakingControl AlgorithmsOptimization-Based PlanningLinear AlgebraGeometryStatisticsProbabilityMPCProbabilistic Decision Making

Soft Skills

Problem SolvingOpen-MindednessFlexibility

Tools & Technologies

Embedded SystemsRTOSSimulation Tools

Industry Keywords

Autonomous VehiclesADASRobotic SystemsReal-World DeploymentML-Based Approaches

Tech Stack

Tools & technologies

PythonRTOSC++

About the role

Key responsibilities & impact

Develop trajectory planning and decision-making algorithms for safe, smooth, dynamically feasible motion in dynamic, uncertain environments
Reason about interactions with other road users and translate desired driving behavior into algorithmic changes across the planning stack
Architect, implement, and validate control and estimation algorithms for longitudinal and lateral vehicle dynamics
Write mission-critical, real-time C++ running on-vehicle and on embedded automotive compute
Work with Perception and Software Platform teams to define interfaces between perception output, planning, and control
Support driving-function demos on vehicles from bring-up through customer-facing runs
Build simulation and analysis tooling in Python and C++ to evaluate planner and controller performance
Define driving quality and safety metrics, analyze field data, and feed insights back into development
Contribute to failure and hazard analyses and implement safety mitigations in planning and control software
Own components from algorithm design through real-time C++ implementation, simulation, tuning, and on-vehicle validation

Requirements

What you’ll need

Ability to work from the office in Paris, at least Monday, Tuesday and Thursday
3+ years of software engineering experience
Production-quality coding skills in modern C++ and Python
Hands-on experience in motion planning, decision making, or vehicle controls on autonomous vehicles, ADAS, or robotic systems
Experience with optimization-based planning, search methods, optimal control, MPC, or probabilistic decision making
Solid foundation in linear algebra, geometry, statistics & probability, and vehicle dynamics
Experience taking features from design through real-world deployment, not just prototypes
Ability to break down complex, ambiguous problems into well-defined technical solutions
Solid opinions based on experience, while remaining open-minded and flexible
Experience deploying planning or control software on real vehicles is a bonus
Experience with real-time and embedded systems and RTOS is a bonus
Experience with ML-based approaches to planning, including imitation learning, RL, or learned cost functions, is a bonus

Benefits

Comp & perks

Opportunity to make an impact at a young, venture-backed company in an emerging market
Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role
Hybrid work model: in office 3 days per week (Monday, Tuesday, and Thursday), the rest… work from wherever!
Modern Workspace: Fully equipped, modern office in the heart of Paris
Commuter benefits (partial reimbursement for public transport, where applicable)
Subsidized meal vouchers (tickets restaurant)
Wellness Pass (ex Gymlib)
Equal opportunity employer