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. • Design and implement high-performance backend services and distributed architectures , capable of handling large-scale real-time event processing. • Establish and maintain comprehensive system monitoring, fine-grained observability metrics, and automated alerting frameworks to ensure low latency and reliable production operations. • Build and optimize downstream engineering workflows for Large Language Models (LLMs), programmatically steering model reasoning, establishing guardrails, and mitigating hallucinations to ensure reliable outputs. • 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. • BS/MS or Ph.D in Computer Science or a related field Compensation and Benefits Base Salary Range: $120,000 - $200,000 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 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 Disability • Free Food & Snacks

Requirements

Must-haves

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.
Design and implement high-performance backend services and distributed architectures , capable of handling large-scale real-time event processing.
Establish and maintain comprehensive system monitoring, fine-grained observability metrics, and automated alerting frameworks to ensure low latency and reliable production operations.
Build and optimize downstream engineering workflows for Large Language Models (LLMs), programmatically steering model reasoning, establishing guardrails, and mitigating hallucinations to ensure reliable outputs.
Strong programming skills in C/C++, Python, and software design
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.
BS/MS or Ph.D in Computer Science or a related field

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aidesign systempython

Platform: workable
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off