Senior Engineering Manager - ADAS Localization

at  General Motors

DESIRED SKILLS

• PhD in Computer Science, Robotics, Electric Engineering, or other related fields
• 5 years’ experience in production algorithm/software development
• Automotive safety critical electronics experience is a plus

ROLE:

We are looking for an experienced Senior Engineering Manager of ADAS (Advanced Driver Assistance Systems) Localization to lead our cutting-edge automotive technology teams. As an ADAS Senior Manager on Localization, you will play a pivotal role in shaping the future of autonomous and connected vehicles. Your expertise will drive the development of innovative ADAS features, ensuring safety, performance, and user experience.

RESPONSIBILITIES

• Team Leadership : Build and mentor a high-performing team of engineers, researchers, and developers focused on ADAS localization technologies.
• Technical Vision : Define the technical roadmap for ADAS localization.
• Algorithm Development : Lead the design, implementation, and optimization of ADAS localization algorithms, leveraging computer vision, GPS, IMU, sensor and mapping data.
• Collaboration : Work closely with cross-functional teams (hardware, software, performance, and validation) to integrate ADAS localization functions into our vehicle platforms.
• Innovation : Stay abreast of industry trends, emerging technologies, and research advancements. Drive innovation by proposing novel solutions.
• Quality Assurance : Ensure the robustness, reliability, and safety of ADAS localization functions through rigorous testing and validation.
• Project Management : Oversee ADAS localization project timelines, resource allocation, and deliverables. Collaborate with stakeholders to meet project milestones.

WHAT YOU’LL BE DOING (REQUIRED QUALIFICATIONS)

• Education : Bachelor’s or master’s degree in electrical engineering, Computer Science, Robotics, or a related field.
• Experience : Minimum 8 years of relevant ADAS localization development/production experience in ADAS, autonomous driving, or related fields.
• Technical Skills :
• Proficiency in C/C++, Python, or other relevant programming languages.
• Strong understanding of localization related technologies (e.g., computer vision, SLAM, SFM, VO/VIO, KF/EFK and factor graph optimization).
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, etc.).
• Knowledge of functional safety (ISO 26262) and cybersecurity.
• Leadership Skills :
• Proven ability to lead and inspire technical teams.
• Excellent communication and collaboration skills.
• Strategic thinking and problem-solving capabilities.