Key Responsibility:

•Lead team in designing and implementing high-performance map & localization service algorithms for XCL program with high quality.

•Define technical roadmaps for autonomous driving features, ensuring alignment with industry standards.

•Drive innovation in ​end-to-end AI frameworks​ (e.g., neural networks, sensor fusion) and ​maples localization​ technologies.

•Act as the technical liaison for joint development projects with tech partners and coordinate cross-functional teams to integrate partner technologies into cohesive solutions.

•Oversee the full lifecycle of autonomous driving systems, from prototyping to mass production.

•Ensure robustness of localization systems and compliance with functional safety requirements.

•Mentor engineers and researchers, fostering a culture of technical excellence and agile problem-solving.

•Manage resource allocation, project timelines, and risk mitigation strategies.

•Monitor advancements in ​AI-driven autonomy, ICV policy, and regulatory landscapes to guide business priorities.

Qualification

Education

Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related fields.

No. of Years of Experience: 10+ years in autonomous systems, robotics, or automotive software development. 5+ years in leadership roles delivering L2+/L3 autonomous features (e.g., highway pilot, City NOA). Proven track record in cross-organizational collaboration (OEMs, startups, academia).

Professional Exposure: Advanced knowledge of ​mapping and localization technologies. Proficiency in ​end-to-end AI/ML frameworks​ (e.g., PyTorch, TensorFlow) for perception, prediction, and control systems. Expertise in ​embedded software development​ (C++/Python, ROS/ROS2, AUTOSAR). Familiarity with Simulation tools (CARLA, NVIDIA DRIVE Sim, MATLAB/Simulink).

Preferred previous experiences: Led the development and deployment of ​L3/L4 autonomous driving systems​ (e.g., urban NOA, highway pilot). Published research or patents in ​AI-driven autonomy, sensor fusion, or robotics. Worked in cross-functional environments integrating ​AI, hardware, and safety-critical systems.

Functional Skills: Technical Leadership: Ability to define roadmaps, allocate resources, and mentor engineers. Project Management: Proven track record in delivering complex projects on time and within budget. Regulatory Compliance: Experience with functional safety (ISO

26262), SOTIF, and cybersecurity standards. Stakeholder Management: Skilled in aligning technical teams with business/partner priorities. Validation & Testing: Expertise in SIL/HIL testing, scenario-based validation, and failure mode analysis.

Behavioral Skills: Strategic Thinking: Balances innovation with practical execution to meet business goals.Collaboration: Builds trust with partners, academia, and cross-functional teams in multicultural settings. Resilience: Thrives in ambiguous, fast-paced environments with shifting priorities. Communication: Clearly articulates technical concepts to non-technical stakeholders (executives, regulators). Problem-Solving: Entrepreneurial mindset to troubleshoot system-level challenges (e.g., edge cases in autonomy).

Special Knowledge and Skills Required: AI Deployment: Optimization of neural networks for embedded systems. Autonomous Vehicle Regulations: Familiarity with global/local certification processes.

Others: Strategic thinker with ability to align technical execution with business goals. Exceptional stakeholder management and cross-cultural collaboration skills.