Job Description
The role involves leading a team of engineers to develop and oversee AI components for a safety-critical autonomous backup system in self-driving vehicles, focusing on collision avoidance, sensor integration, and system testing to ensure safety and reliability.
Key Responsibilities
- Lead and mentor a team of software engineers, fostering technical excellence and motivation
- Define the technical roadmap and strategy for AI components within the backup autonomy system
- Oversee the design, development, and deployment of machine learning models for obstacle detection and motion prediction
- Guide data mining and analysis to predict conflicts and inform emergency maneuvers
- Collaborate with controls and behavior teams to ensure seamless integration and safe emergency mode transitions
- Work with operations and systems teams to validate collision prevention against vehicle standards and design testing methodologies
- Lead large-scale simulated testing to identify risks and evaluate failure modes of backup systems
- Direct implementation and testing of fallback driving modes, including perception and behavior model adjustments
- Manage project timelines, resources, and deliverables to ensure high-quality, timely execution
Requirements
- BS MS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area.
- 4 years of industry engineering experience, with a significant focus on AI, robotics, autonomous systems, or ADAS.
- 2 years of experience in a technical leadership or management role, leading software engineering teams.
- 2 years of dedicated expertise in machine learning.
- Strong proficiency in C and Python.
- Proven ability to lead cross-functional technical projects from design to completion.
Benefits & Perks
Compensation/salary range between 235,030 and 352,290 USD depending on experience and qualifications
Annual performance bonus
Equity in the company
Competitive benefits package
Ready to Apply?
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