L4 Autonomous Driving Path Planning Engineer

F-Prime Capital; Fremont (CA); On-site; USD 120,000 - 200,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (Traditional and Roth

Life Insurance (Basic, Voluntary & AD&

Paid Time Off (Vacation & Public

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Free Food & Snacks

Job summary

Pony.ai, founded in Silicon Valley, is a leader in autonomous mobility with robotaxi, robotruck, and POV units. This role focuses on designing high-performance L4 planning algorithms, ensuring safety through robust fallbacks, and building redundant architectures for safe autonomous operation.

You will work on road-test data analysis, simulation platforms, and collaboration across teams to advance industry-leading autonomous driving capabilities.

Qualifications

• BS in Computer Science, ML, Robotics, or equivalent practical experience.
• Proficient in C/C++, Python, or Java and familiar with data structures and algorithms.
• Excellent communication and collaboration skills.
• Excellent problem transformation and modeling capabilities.

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.
• Designing and developing a redundant system for L4 capabilities 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.

Skills

Architecture design

C/C++

Python

Java

Algorithms

Communication skills

Problem solving

Education

BS in Computer Science / ML / Robotics

MS in Computer Science / ML / Robotics

Job description

Pony.ai, founded in Silicon Valley, is a leader in autonomous mobility with robotaxi, robotruck, and POV units. This role focuses on designing high-performance L4 planning algorithms, ensuring safety through robust fallbacks, and building redundant architectures for safe autonomous operation.

You will work on road-test data analysis, simulation platforms, and collaboration across teams to advance industry-leading autonomous driving capabilities.