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Software Engineer Intern - Generalist

pony.ai

Fremont, CAInternship$7,000–10,000/moPosted 4mo agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$7,000–10,000/mo
Location
Fremont, CA
Role Type
Internship
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

pony.ai is hiring a Software Engineer Intern - Generalist. Pony.ai, founded in 2016, is a global leader in autonomous mobility, pioneering technologies and services worldwide. The company operates Robotaxi, Robotruck, and Personally Owned Vehicles (POV) business units, focusing on commercializing safe autonomous driving. Pony.ai has been recognized on CNBC's Disruptor list and XPRIZE and Bessemer Venture Partners' "XB100" list for its innovation in deep tech.

Key focus areas include Design and implement algorithms and evaluation metrics to drive core AI decision-making, Build scalable data pipelines and toolchains for large-scale data ingestion, batch processing, and evaluation, and Design system-level evaluation metrics, testing frameworks, and simulation environments across business components.

Successful candidates bring Pursuing BS/MS or Ph.D in Computer Science or Related Field, Experience in Large Data Set Processing and Real Time Systems, and Solid Experience in Fast‑Paced Structured Engineering Environment. Important skills include C/C++, Python, Software Design, Mathematics, Theoretical Computer Science, and Linear Algebra.

Skills & qualifications

RequiredNice to have

Skills

C/C++PythonSoftware DesignMathematicsTheoretical Computer ScienceLinear AlgebraCalculusGraph TheoryComputational GeometryCombinatorial Optimization AlgorithmsStochastic ProcessesComplexity AnalysisEngineering DisciplineBuilding Large-Scale SystemsMaximizing PerformanceMinimizing ComplexityMinimizing CostLarge Data Set ProcessingReal Time SystemsFull Stack ExperienceFront EndBack EndStatistics Analysis

Qualifications

BS/MS or Ph.D in Computer Science or Related FieldExperience in Fast-Paced and Structured Engineering Environment

Full job description

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.

Responsibility

  • Design and implement algorithms and evaluation metrics to drive core AI decision-making.

  • Build scalable data pipelines and toolchains for large-scale data ingestion, batch processing, and evaluation.

  • Design system-level evaluation metrics, testing frameworks, and simulation environments across business components.

Requirements

  • Strong programming skills in C/C++, Python, and software design

  • Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis.

  • Possessing solid engineering discipline, or demonstrating strong interest and potential in building large-scale systems, with the ability to maximize performance while keeping complexity and cost to a minimum.

  • Pursueing a 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

Note

  • The position is rolling-based and can start anytime.

  • This position is fully onsite in Fremont, at least 3 months.

Compensation

  • Master: $7000/month

  • PhD: $10,000/month

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