Path Planning Engineer – L4 Autonomous Driving

pony.ai; Colorado; On-site; USD 120,000 - 200,000; Full time

Benefits offered by this job

Health Care Plan

Retirement Plan (401k)

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Free Food & Snacks

Job summary

Pony.ai is seeking an experienced software/ML engineer to advance L4 autonomous driving planning architectures in Colorado. You will design algorithms, ensure safety fallbacks, and build redundant systems for real-world road tests using large-scale data.

Qualifications include a BS in CS or related field, strong proficiency in C/C++ and Python, excellent communication, and a track record solving complex robotics problems. Competitive compensation and stock options available.

Qualifications

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

Responsibilities

• Architecture design, algorithm, and system development for high-performance L4 autonomous driving planning algorithms.
• Optimizing and providing safety fallbacks for end-to-end model outputs; ensure HD-map-independent autonomous driving system.
• Designing and developing a redundant system that satisfies L4 requirements using lower compute power 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.

Skills

C/C++

Python

Java

Communication

Education

BS in Computer Science or related field

Job description

Pony.ai is seeking an experienced software/ML engineer to advance L4 autonomous driving planning architectures in Colorado. You will design algorithms, ensure safety fallbacks, and build redundant systems for real-world road tests using large-scale data.

Qualifications include a BS in CS or related field, strong proficiency in C/C++ and Python, excellent communication, and a track record solving complex robotics problems. Competitive compensation and stock options available.