Deeproute.ai

Licenses autonomous driving systems to OEMs

Autonomous Driving Systems Project Manager

Project ManagementConfirmed live in the last 24 hours

Full-timeFremont, CA, USA$130k /yrIn-person

About the Job

Requirements

A Master's degree in Mechanical Engineering or a related field is required.
At least 2 years of experience in algorithm planning and software systems within the autonomous driving industry is required.
Experience developing and testing planning systems is required.
Experience executing software development lifecycles is required.
Experience integrating in real-time systems is required.
Experience optimizing motion-planning performance and robustness is required.
Proficiency in C++, Python, machine learning, Git, and simulation tooling is required.

Responsibilities

Lead end-to-end project management for the development of autonomous vehicle planning modules, working closely with cross-functional teams and testing to ensure timely, quality-driven execution of project deliverables.
Define and oversee the technical roadmap and execution plans for key planning functionalities, including rare-scenario handling, constraint-aware motion planning, and overall system robustness, leveraging deep technical understanding of autonomous driving software systems.
Manage the full project lifecycle, including requirements definition, milestone planning, resource coordination, risk identification and mitigation, technical documentation, and regular status reporting to stakeholders and senior leadership.
Contribute to platform architecture and integration strategy, coordinating deployment of planning algorithms into simulation platforms and real-world driving environments, ensuring alignment with system-level goals and performance KPIs.

Autonomous Driving Systems Project Manager

Deeproute.ai · Fremont, United States · Full-time · Posted 2026-06-06

Salary: USD 130,000–130,000

Workplace: on_site

Description

· Lead end-to-end project management for the development of autonomous vehicle planning modules, working closely with cross-functional teams, and testing to ensure timely and quality-driven execution of project deliverables.

· Define and oversee the technical roadmap and execution plans for key planning functionalities, including rare-scenario handling, constraint-aware motion planning, and overall system robustness, leveraging deep technical understanding of autonomous driving software systems.

· Manage the full project lifecycle, including requirements definition, milestone planning, resource coordination, risk identification and mitigation, technical documentation, and regular status reporting to stakeholders and senior leadership.

· Contribute to platform architecture and integration strategy, coordinating the deployment of planning algorithms into both simulation platforms and real-world driving environments, ensuring alignment with system-level goals and performance KPIs.

Requirements

Master’s degree in Mechanical Engineering, or a related field;
At least 2 years’ experience in algorithms planning and software systems within the autonomous driving industry including:
1) Develop and test planning systems;
2) Execute software development lifecycles;
3) Integrate in real-time systems;
4) Optimize motion-planning performance and robustness; and proficiency in C++, Python, Machine Learning, Git, simulation tooling.
Annual salary is $130,000.

Send resumes to HR, Deeproute.AI Ltd., 3125 Skyway Court, Fremont, CA 94539, or email to [email protected].

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About the Company

Deeproute.ai

Licenses autonomous driving systems to OEMs

Deeproute.ai develops smart driving solutions for the automotive industry, offering Level 2 ADAS and Level 4 autonomous driving for robotaxis and medium-duty trucks. Its DeepRoute-Driver and DeepRoute IO platform use an end-to-end model that combines perception, prediction, and planning, and it relies on map-free navigation that does not require HD maps. The company licenses its autonomous systems to OEMs on a per-vehicle basis and differentiates itself with map-free technology, a dual-track strategy, and partnerships with automakers like Dongfeng, Geely, Great Wall, and CaoCao Mobility. Its goal is to scale the installed base from thousands to about 200,000 vehicles by 2025, expanding through robotaxi services and fleet operations.

Company size: 51-200
Company stage: Series C
Total funding: $450M
Headquarters: Shenzhen, China
Founded: 2019

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