Motion Planning Engineer for L4 Autonomy

Pony.ai, Inc.; Fremont, Northern (CA, KY); Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Health Care Plan

401k Plan

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Free Food

Job summary

Pony.ai, Inc. is seeking an experienced autonomous driving software engineer to join our L4 planning team in Silicon Valley.

You will design architecture, algorithms and systems for high-performance planning, safety fallbacks, and road-test data analysis to support safe, HD-map-independent autonomous driving. The role requires a BS in CS/Robotics, strong software engineering skills (C/C++, Python/Java), excellent communication, and creative problem solving to advance real-world autonomous

Qualifications

• BS in Computer Science, ML, Robotics, or related technical field, or equivalent practical experience.
• General software engineering experience, proficient in at least one major programming language (C, C++, Python, or Java) and familiar with common data structures and algorithms.
• Excellent communication and collaboration skills.
• Excellent problem transformation and modeling capabilities with creative thinking.

Responsibilities

• Architecture design, algorithm, and system development for high-performance L4 autonomous driving planning.
• Optimize and provide safety fallbacks for end-to-end model outputs and ensure HD-map independence.
• Design and develop a redundant system to meet L4 capabilities with lower compute and limited sensors.
• Architecture design and system development for road-test big data analysis and processing.
• Simulation platform development using massive road-test data to align with real-world scenarios.

Job description

Pony.ai, Inc. is seeking an experienced autonomous driving software engineer to join our L4 planning team in Silicon Valley.

You will design architecture, algorithms and systems for high-performance planning, safety fallbacks, and road-test data analysis to support safe, HD-map-independent autonomous driving. The role requires a BS in CS/Robotics, strong software engineering skills (C/C++, Python/Java), excellent communication, and creative problem solving to advance real-world autonomous