Software Engineer, Deep Learning

Pony.ai, Inc. (“Pony.ai”) is a startup co-located in Silicon Valley and China that is pursuing an ambitious vision for autonomous mobility. We aim to bring safe, sustainable, and accessible mobility to the entire world. We believe that autonomous technology can make our roads exponentially safer for travelers. Founded in late 2016, Pony.ai has been a pioneer in autonomous mobility technologies and services across the U.S. and China, spearheading public-facing Robotaxi pilots in both markets. The company is currently valued at $8.5B and some of its major investors include Toyota, Ontario Teachers’ Pension Plan, Sequoia Capital China, and IDG Capital. Pony.ai has formed partnerships with leading OEMs including Toyota, GAC Group, FAW Group, etc. We believe our work has the potential to transform lives and industries for the better. You will have every opportunity to grow and develop as our company scales globally.Responsibility

Work with experts in the field of self-driving vehicles on software architecture and design, system and module design, evaluation metrics, specification and implementation of test and regression frameworks.Work with experts in machine learning to design and implement the state of the art deep learning and machine learning algorithms to solve open questions such as behavior prediction, decision making, and computer vision with real road test data.Optimize software to run robustly under tight run-time constraints.Implement user friendly tools to mine useful data from road test logs, evaluate performance, and solve real road test issues.Minimum Requirements

Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields.Solid understanding of data structures, algorithms, parallel computing, code optimization and large scale data processing.Experience in applied machine learning including data collection and analysis, evaluation and feature engineering.Expertise in C++/Python.Preferred Experience

PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical field of study.Experience in applying ML/DL for behavior prediction, imitation learning, motion planning.Experience in deploying deep learning algorithms for real-time applications, with limited computing resources.Experience in convex optimization, computational geometry or linear algebra.Experience in GPU/CUDA/TensorRT.Experience with TensorFlow.Compensation and Benefits

Base Salary Range: $120,000 - $195,000 Annually. Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.Also, we provide the following benefits to the eligible employees:Health Care Plan (Medical, Dental & Vision)Retirement Plan (Traditional and Roth 401k)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation & Public Holidays)Family Leave (Maternity, Paternity)Short Term & Long Term DisabilityFree Food & Snacks

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