Description
Work Arrangement
This role is categorized as on-site. This means the successful candidate is expected to report to HQ Building in Shanghai, China full time.
The Role -
As individual contributor in the AI/ML area of parking domain, to lead vision perception to enhance GM products and improve use experience
What You'll Do -
- As individual contributor to lead the development of advanced visual perception algorithms to expand parking ODD coverage and enhance overall parking performance.
- Define perception requirements (e.g., accuracy, precision, recall rate, etc...) and align with suppliers on model improvements.
- Lead perception KPI testing, including metric definition, verification strategy and pipelines with measurable acceptance criteria.
- Collaborate with suppliers to optimize models for embedded deployment.
- Design dataset collection plans and oversee annotation quality.
- Do hands-on perception debugging in compliance environments to find issue and solve problems to drive algorithm enhancement. Make the report to give program/global team for clarification.
- Do feature performance fine-tune (if required) adapted to China scenario.
- Work with global teams to ensure compliance with system-level performance targets.
- Support HIL/SIL validation and on-vehicle testing for perception modules.
- Following the advanced technology of the industry, Continuous tracking the development and evolution of the core technology in the holistic perception and data closed-loop system, assist leadership in promoting the frontier technology development.
- Representative of Perception algorithm, provide technical consultation and training within GM organization to improve core competence, efficiency.
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Additional Description
Your Skills & Abilities (Required Qualifications)
- Major in robotics, computer vision, machine learning or equivalent majors, master degree or above.
- Familiar with automate parking functions and logic (parking & driving).
- 5+ years in AI/ML for automotive perception (parking, object detection, Freespace, SLAM).
- Deep expertise in CV algorithms (CNN, BEV, Occupancy Networks) and sensor fusion.
- Hands-on experience with dataset curation (e.g., COCO, KITTI) and tools (CVAT, LabelBox).
- Proficiency in Python, PyTorch/TensorFlow, and embedded ML optimization (quantization, pruning).
- Knowledge of perception metrics (mAP, recall, precision) and testing frameworks.
- Strong analytical skills and ability to debug complex perception issues.
What Will Give You a Competitive Edge (Preferred Qualifications)
- Experience with automotive perception stacks (Apollo, Autoware, NVIDIA Drive).
- Familiarity with MLOps for large-scale dataset management.
- Publications in CV/ML conferences (CVPR, ICRA).
- Knowledge of ISO 21448 (SOTIF) for perception safety.
- Good analytical ability where problems are unusual and complex.
- Proactive study sense, Structural and forward thinking, team work spirit.
- Good interpersonal skills to work effectively with others.
- Good oral and written communication skills in English.
- Have a serious and responsible work attitude.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
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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.
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