Software Engineer, Pony.ai

Data and Evaluation

$120-180k

Kubernetes

Python

Elasticsearch

Redis

Linux

Postgres

Terraform

C++

Ansible

Puppet

Mid and Senior level

San Francisco Bay Area

Office located in Fremont, CA

Autonomous mobility

Open for applications

Autonomous mobility

501-1000 employees

B2BArtificial IntelligenceTransportSaaSAutomation

Open for applications

$120-180k

Kubernetes

Python

Elasticsearch

Redis

Linux

Postgres

Terraform

C++

Ansible

Puppet

Mid and Senior level

San Francisco Bay Area

Office located in Fremont, CA

501-1000 employees

B2BArtificial IntelligenceTransportSaaSAutomation

Company mission

To accelerate the transition to widespread autonomous mobility everywhere.

Job

Company

Role

Who you are

Strong programming skills in C/C++, Python, and software design
BS/MS or Ph.D. in Computer Science or a related field
Experience in large data set processing and familiarity with real time systems
Solid experience in a fast-paced and structured engineering environment
Full stack experience including both front end and back end is preferred
Statistics analysis experience is preferred
Experience with Linux, networking, storage and virtualization automation with tools like Kubernetes, Terraform, Ansible, Puppet or similar
In-depth knowledge of container orchestrators and cluster management software
Experience with data stores and indexers like PostgreSQL, ElasticSearch, Redis

What the job involves

As a member of the Data and Evaluation team, you will design and implement a diverse set of backend services and tools
The systems you build will have a large impact on ADAS, from fleet data collection & processing, to Machine Learning workflows, to evaluation and validation of the ADAS software stack
Design and implement tools and pipeline to handle data from autonomous vehicles including data labeling, batch processing, simulation, system and module evaluation
Design and implement smart labeling pipeline using deep learning to generate evaluation and training ground truth
Setup and maintain monitoring for system metrics, latency and alerts
Work closely with different autonomous driving components and dive deep into each component and design corresponding evaluation metrics and tools

Our take

Pony.ai is a driverless vehicle manufacturer and developer based in the US and China. Its AI-driven system, which has been tested by over 1.5M autonomous miles, is designed to navigate complex road scenarios using deep learning models. The company has formed strategic partnerships with major manufacturers, including Toyota, FAW Group, and GAC Group.

Founded by two ex-Baidu employees with extensive experience in autonomous driving, Pony.ai aims to improve road safety, as human error accounts for over 90% of traffic accidents in the US. The company is initially focusing on taxis and long-distance freight trucks, with plans to expand the technology to other vehicle types in the future.

In 2022, Pony.ai made history as the first autonomous driving company to receive a taxi license in China. Since then, the company's success has continued, with the recent opening of a Luxembourg R&D center and securing $100M in investments. Building on this momentum, Pony.ai is now focused on challenging Tesla in the domestic autonomous driving market.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

-13% employee growth in 12 months

Glassdoor (3.4)

Company

Funding (last 2 of 5 rounds)

Oct 2024

$27m

LATE VC

Oct 2023

$100m

SERIES D

Total funding: $739m

Company benefits

Comprehensive medical, dental, and vision insurance
Generous PTO and paid holidays
Daily meals and bi-weekly happy hours
Equity opportunity
Retirement plans
Frequent tech talks

Company HQ

Baylands, Fremont, CA

Leadership

James Peng

(Co-Founder & CEO)

After a PhD at Stanford, James worked for 7 years as a Google Software Engineer. They spent a further 4 years at Baidu USA as Chief Architect of Autonomous Driving before leaving to co-found Pony.ai in December 2016.

Tiancheng Lou

(Co-Founder & CTO)

Received a PhD and B.S. from Tsinghua Univeristy. Began their career at GoogleX, and then became the youngest T10 Engineer at Baidu’s Autonomous Driving Division.

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