Technical Lead, Engineering, AI Engineer (Applied​/Software)

A leading Automotive and autonomous systems manufacturer are seeking a Technical Lead to lead the evolution and scaling of their perception systems. You will guide a dedicated team in developing and deploying robust machine learning models that enable our vehicles to understand their environment. This role involves cross-functional collaboration, architecting solutions, and driving the technical roadmap to advance our perception technologies.

As a member of the Autonomy organization, you will guide the strategy, architecture, and deployment of machine learning models for our vehicle's perception. These models support autonomous driving features and in-vehicle experiences by enabling environmental understanding. Your work will directly impact the core functionalities of the autonomous systems.

• Technical Strategy & System Architecture: Define and drive the technical vision, architecture, and scaling roadmap for perception systems, ensuring they meet autonomous driving demands and champion new technologies.
• Perception Model Lifecycle Management: Lead the end-to-end development of scalable ML models for critical perception tasks (object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment.
• Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of machine learning engineers, fostering a culture of innovation, technical excellence, and continuous improvement.
• Cross-Functional Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML infrastructure) to deliver seamlessly integrated and high-performing autonomous features.

• MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
• Experience (typically 8+ years post‑graduation) in machine learning, computer vision, or robotics, with significant work in perception for autonomous systems.
• Experience (typically 3+ years) in a technical leadership or management role, leading engineering teams on complex projects.
• Technical depth in machine learning, deep learning architectures (e.g., CNNs, Transformers), and computer vision algorithms.
• Experience developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi‑sensor fusion) in real‑world applications.
• Proficiency in Python and C++.
• Experience with deep learning frameworks (e.g., PyTorch, Tensor Flow) and MLOps tools/platforms.
• Communication, interpersonal, and collaboration skills for working in a dynamic, cross‑functional environment.

• Technical depth in machine learning, deep learning architectures (e.g., CNNs, Transformers), and computer vision algorithms.
• Proficiency in Python and C++.
• Experience with deep learning frameworks (e.g., PyTorch, Tensor Flow) and MLOps tools/platforms.

• Experience developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi‑sensor fusion) in real‑world applications.
• Communication, interpersonal, and collaboration skills for working in a dynamic, cross‑functional environment.