AI Senior Developer / Technical Lead

Inspired by human vision, PROPHESEE's technology combines patented sensors and AI algorithms to go beyond the limits of conventional approaches. It captures information differently, revealing dynamics that remain invisible to traditional systems. This breakthrough redefines computer vision and opens exciting technical challenges in cutting-edge fields such as autonomous vehicles, industrial automation, robotics, IoT, security and surveillance.

You will join a unique technological adventure where you will help shape the next generation of event-based perception systems. As AI Technical Lead, you will combine hands-on engineering and technical leadership to turn advanced sensing and AI algorithms into a coherent, deployable perception stack with direct impact on PROPHESEE products and applications.

The position is based in Paris (75011)

Mission

Provide hands-on technical leadership for perception and AI developments, with a strong focus on event-based vision, computer vision, software architecture and system integration. The role bridges algorithms, software, embedded deployment and validation, while guiding a small engineering team and remaining directly involved in implementation.

Role description

• Define and drive software for AI / computer vision components.

• Define detailed interfaces, lead design reviews and make implementation trade-offs.

• Contribute directly to C++ and Python development for algorithms, tooling, integration and validation.

• Guide event-based vision and perception developments, including tracking, detection and related algorithms.

• Mentor engineers, review designs and code, and help prioritize technical activities.

• Ensure solutions are deployable on target platforms and meet performance, latency and resource constraints.

• Work in close collaboration with the VP Software & AI to define the perception architecture stack.

Key deliverables

• Documented perception / detailed software architecture, component boundaries and interface definitions.

• Technical tasks organization and prioritized engineering decisions aligned with the VP Software & AI.

• Production-quality C++ and Python perception components, tools and integration code.

• Validated event-based perception modules with documented accuracy, latency and resource characteristics.

• Deployment-ready software for agreed target platforms, with associated validation and technical documentation.

• Design reviews, code reviews and technical guidance that raise the engineering maturity of the team.

Performance indicators

• Delivery of agreed technical milestones and architecture decisions on schedule.

• Achievement of agreed perception quality, latency and computing-resource targets.

• Architecture maintainability, modularity and successful adoption by the engineering team.

• Software quality: testability, code review quality, defect rate and technical debt control.

• Successful deployment and validation on target platforms.

• Effectiveness of technical mentoring, knowledge sharing and team coordination.

Profile

• Software architecture — strong requirement — Ability to design modular, maintainable and scalable architectures, define interfaces and drive technical trade-offs.

• Python — strong requirement — Good development skills for algorithms, prototyping, tooling, testing and integration.

• Modern C++ — strong requirement — Strong development experience, ideally in performance-sensitive, real-time or embedded applications.

• Computer vision / perception — strong requirement — Experience with event-based vision sensing and processing, computer vision, image processing, perception algorithms or related AI/ML systems.

• Technical leadership — required — Previous experience as Technical Lead or equivalent, including mentoring, technical coordination and design/code review.

• System-level mindset — required — Ability to reason across sensor, algorithms, software, deployment and validation rather than focusing on a single layer.

• Robotics / intelligent systems — strong advantage — Experience with robotics, drones, autonomous systems, automotive, industrial machines or similar sensor-rich systems.

• Embedded systems — desirable — Understanding of embedded Linux, HW/SW interaction, latency, performance and resource constraints.

• NVIDIA Jetson — desirable — Experience with Jetson and ideally CUDA, TensorRT, DeepStream or related NVIDIA technologies.

• DevOps / CI-CD — desirable — Understanding of Git-based workflows, automated testing, quality gates, release management and embedded deployment.

• Sensor integration — desirable — Familiarity with cameras and other sensors, synchronization, calibration, drivers and data acquisition.