Autonomy Manager – Perception
| Company | May Mobility |
|---|---|
| Location | Ann Arbor, MI, USA |
| Salary | $165000 – $195000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
- A minimum of 5+ years of industry experience leading deploying or managing technical development for real-world robot systems related to perception, prediction, planning or equivalent technical fields
- Minimum of 2+ years of technical development in below perception technical stack: Deep learning based 2D /3D detection, classification, segmentation, recognition, sensor fusion, prediction, planning; Machine learning based tracking, clustering, localization
- Strong experience in machine learning deployment, software development environment and data analysis
- Deep understanding of perception evaluation methodology, perception metrics and safety KPIs
- Strong experiences and motivation to work on fast pace startup environments with creative and critical thinking capabilities
- Strong confidence and comfort to prioritize tasks, projects and requests with good project management understanding
- Exceptional verbal and written communication skills for cross-team collaborations
- Ability to travel approximately 30% of the time
Responsibilities
- Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow engineering leaders
- Communicate clear and concise issues, analysis results, solutions, and timelines to other managers to enable rapid and effective responses to ongoing field issues.
- Responsible for operational and technical team successes and outcomes, including – meeting benchmarks, prioritizing effective time and resource allocation across all team functions, and engaging in regular status and metrics reporting
- Collaborate with other Autonomy teams, Safety teams, Advanced Engineering teams to deploy robust, generalizable perception solutions for autonomous vehicles
- Manage Perception metrics and KPIs along side with OKR progress
- Track and trend technical performance of perception system in the field
- Support site/field integration, performance evaluation, system verification, and product launch/deployment in US and global sites
- Escalate critical issues and opportunities within the autonomy team to engineering leadership, making clear recommendations to maximize the effectiveness of the team with respect to company priorities
Preferred Qualifications
- Masters or PhD in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
- Previous hands-on system architecture experience building or leading the development for multiple tech stacks
- Demonstrated successful people management experience and mentoring experience to support team member growth
- Familiar with python, machine learning software frameworks, and GPU programming in CUDA or related higher-level languages