Description
Work Arrangement: Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to Warren three times per week.
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.
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Additional Description
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.
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
Key Characteristics:
- Fast Learner: ADAS Localization is constantly evolving area. Therefore, it is critical to be able to quickly learn and digest complex changes and disseminate this information.
- Innovation: Able to generate potential solutions to sophisticated problems, screen out bad ideas, identify good ones, and brainstorm without ego or attachment.
- Comfort with Ambiguity: Comfortable working in a space where problems and solutions are not always well defined. You can cope with change, shift gears easily, and can decide and act without having the total picture.
- Excellent Communication Skills: Demonstrate the ability communicate broad concepts as well as detailed technical information through written and verbal means.
Relocation: This job may be eligible for relocation benefits.
About GM
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Why Join Us
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Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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