Staff Software Engineer - Scalable AI/ML Infra for Autonomy

Top AI's Jobs; United States; Hybrid; USD 179,000 - 304,000; Full time

Job summary

XPENG is seeking a senior backend engineer to design and implement company-scale distributed systems for the autonomy software evaluation. You will collaborate across XPENG teams to build scalable infrastructure supporting next-generation innovations in AI, ML, and vehicle technologies.

Qualifications include 10+ years in backend development (C++/Python), expert Kubernetes knowledge, and hands-on ML infrastructure experience.

Qualifications

• BA/BS degree in Computer Science, related field or equivalent practical experience.
• Delivered a company scale and industry leading infrastructure from scratch.
• Expert level understanding of K8S, Queueing and in memory data structures.
• 10+ years developing backend services (C++ and Python).
• 3+ years experience working on complex Machine learning infrastructure.
• Experience developing and maintaining machine learning production systems deployed to the cloud and on premise.
• Experience in using Bazel for Complex large scale machine learning infrastructure.
• Experience with modern Python tooling like Ruff, Mypy, Typeguard and pytest.
• Experience with Supporting MLOps.
• Experience working in a fast paced environment.

Responsibilities

• Design, Architect and implement company scale distributed system for next generation of the autonomy software evaluation.
• Collaborate with multiple teams in side XPENG to deliver best in class infrastructure for next generation of XPENG innovations.
• Demonstrate a can-do attitude and able to thrive at a high pace, always evolving landscape of requirements.
• Collaborate with stakeholders to deliver highly complex and flexible infrastructure to meet their use cases, SLA and QoS.
• Design and implement tools and infrastructure to improve engineering efficiency of machine learning engineers daily workflows.
• Design and implement complex workflow on cloud and on premise infrastructure to provide insights into Software Quality and Release Readiness of features.
• Leverage LLMs to bring efficiency to existing established processes of triaging, analysis and troubleshooting.

Skills

Backend development

C++

Python

Distributed systems

ML infrastructure

Kubernetes

Queueing

In-memory data structures

Bazel

Ruff

Mypy

Typeguard

pytest

MLOps tooling

Education

BA/BS in Computer Science or related field

Tools

Kubernetes

Bazel

Ruff

Mypy

Typeguard

pytest

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

Job Responsibilities:

Design , Architect and implement company scale distributed system for next generation of the autonomy software evaluation.

Collaborate with multiple teams in side XPENG to deliver best in class infrastructure for next generation of XPENG innnovations.

Demonstrate a can-do attitude and able to thrive at a high pace, always evolving landscape of requirements.

Collaborate with stake holders to deliver highly complex and flexible infrastructure to meet their use cases, SLA and QOS.

Design and implement tools and infrastructure to improve engineering efficiency of machine learning engineers daily workflows.

Design and implement complex workflow on cloud and on premise infrastructure to provide insights into Software Quality and Release Readiness of features.

Leverage LLMs to bring efficiency to existing established processes of triaging, analysis and troubleshooting.

BA/BS degree in Computer Science, related field or equivalent practical experience.

Delivered a company scale and industry leading infrastructure from scratch.

Expert level understanding of K8S, Queueing and in memory data structures.

10+ years developing backend services (we primarily write C++ and Python).

3+ experience working on complex Machine learning infrastructure.

Experience developing and maintaining machine learning production systems deployed to the cloud and on premise.

Experience in using Bazel for Complex large scale machine learning infrastructure.

Experience with modern python tooling like Ruff, Mypy, Typeguard and pytest.

Experience with Supporting MLOps.

Experience working in a fast paced environment.

Self motivated and ability to deal with ambiguity and evolving requirements.

Preferred Requirements:

Experience of working on Autonomous vehicle stack.

Experience in the automotive industry.

Experience in utilizing MCP and related tooling to improve infrastructure usage.

Strong experience in designing and implementing highly horizontally-scalable architecture.

Developing, deploying and monitoring cloud infrastructure is a strong plus.

The base salary range for this full-time position is $179,400 – 303,600 in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.