AI Systems Engineer: Scalable Backend & LLM Ops (RSU Eligible)

Pony.ai, Inc.; Fremont (CA); Ibrido; USD 120.000 - 200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k)

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Free Food & Snacks

Descrizione del lavoro

Pony.ai, Inc. in Fremont, CA, seeks an experienced AI systems engineer to design and optimize core decision-making components for autonomous mobility. You will build scalable data pipelines, backend services, and evaluation environments to support real-time operations.

The role requires strong C/C++ and Python skills, solid mathematical foundations, and a track record of building large-scale systems. Compensation ranges from $120,000 to $200,000 annually with bonuses and RSUs depending on

Competenze

• BS/MS or Ph.D in Computer Science or related field.
• Strong programming skills in C/C++, Python and software design.
• Strong foundation in mathematics and theoretical CS (linear algebra, calculus, graph theory).
• Experience building large-scale systems with low latency.

Mansioni

• Design and implement algorithms and evaluation metrics to drive core AI decision-making.
• Build scalable data pipelines and toolchains for large-scale data ingestion and evaluation.
• Design system-level evaluation metrics, testing frameworks, and simulation environments across components.
• Design and implement high-performance backend services and distributed architectures for real-time processing.
• Establish and maintain monitoring, observability, and alerting for reliable production operations.
• Build workflows for LLMs, guiding model reasoning and guardrails to ensure reliable outputs.

Conoscenze

C/C++

Python

Software design

Mathematics

Formazione

BS/MS/PhD in CS or related field

Descrizione del lavoro

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