Perception Team Lead (Autonomous Driving)

Who you are

You have over 8 years of practical experience in the field of perception and autonomous driving technologies, ideally with a PhD. Your deep theoretical understanding and practical application of computer vision and machine learning make you a strong candidate for this role. You are comfortable leading technical decisions and mentoring team members, ensuring their growth and success.

You possess a solid background in designing and validating core algorithms for perception systems, particularly in the context of autonomous vehicles. Your experience includes working with multi-sensor perception systems, including Camera, LiDAR, and Radar, and you understand the complexities involved in real-time processing and system optimization.

You are a hands-on technical leader who enjoys being involved in the development process, from research to production. You have a proven track record of translating research findings into practical applications, ensuring that the technology you develop is both scalable and reliable.

You thrive in collaborative environments, working closely with cross-functional teams to achieve project goals. Your ability to manage project timelines and prioritize tasks effectively is key to your success in this role. You are also adept at identifying and resolving technical challenges, ensuring that your team remains focused and productive.

Desirable

Experience with large-scale data processing and real-world application of perception algorithms is a plus. Familiarity with robotics and physics-based vision approaches will further enhance your candidacy. You are passionate about advancing mobility technology and are eager to contribute to innovative solutions in the autonomous driving space.

What you'll do

As the Perception Team Lead, you will be responsible for defining the technical direction and roadmap for perception technologies within the autonomous driving domain. You will lead the design, validation, and enhancement of 3D computer vision and machine learning-based perception algorithms, ensuring they meet the highest standards of performance and reliability.

You will oversee the architecture of scalable and robust perception systems, taking into account the challenges posed by real-world environments and large datasets. Your role will involve making critical technical decisions regarding performance, latency, and stability, guiding your team through complex problem-solving scenarios.

You will actively participate in code reviews and provide mentorship to team members, fostering an environment of continuous learning and improvement. Collaboration with related teams, including product, systems, and robotics, will be essential to align efforts and achieve shared objectives.

Your leadership will be crucial in driving the transition from research to production, ensuring that innovative ideas are effectively implemented in real-world applications. You will manage project timelines, identify risks, and develop strategies to mitigate them, ensuring that your team meets its goals.

What we offer

At 42dot, you will be part of a forward-thinking company dedicated to solving mobility challenges through software and AI. We prioritize safety and user-centric technology development, offering you the opportunity to work on cutting-edge solutions that will shape the future of autonomous driving. You will enjoy a collaborative work environment that encourages innovation and personal growth, with ample opportunities for professional development.

We believe in the importance of work-life balance and offer flexible working arrangements to support our employees. Join us in our mission to create a connected and autonomous urban transportation system, and be part of a team that is making a real impact in the world of mobility.