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Principal Engineer / Director, Motion Planning

PlusAI · Hybrid

This listing is no longer verified as available.

MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.

Last checked by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

Source: the employer's Lever job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model
Hybrid
Salary
Not listed by source
Location
Santa Clara, CA

What the role asks for

What you'd do

  • Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning.
  • Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas.
  • Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team.
  • Scale end-to-end ML pipelines for research and production, from data ingestion and pre-processing to model training, validation, deployment, and monitoring.
  • Stay on top of the latest trends, technologies, and best practices in machine learning and artificial intelligence.
  • Present the progress to senior leadership and cross-functional teams.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.
  • 7-10 years of experience building data-driven, fault-tolerant systems
  • Proven record of delivering a DL based system
  • MS or PhD in Computer Science or equivalent practical experience
  • Extensive experience designing and building modern planning systems a big plus
  • Passionate about writing amazing, robust, safety-critical, efficient C++ and Python

What they're asking for

  • Experience in deep learning, mobile robotics, geometric modeling and trajectory generationSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Responsibilities: • Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning. • Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas. • Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team. • Scale end-to-end ML pipelines for research and production, from data ingestion and pre-processing to model training, validation, deployment, and monitoring. • Stay on top of the latest trends, technologies, and best practices in machine learning and artificial intelligence. • Present the progress to senior leadership and cross-functional teams. • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies. • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts. • Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: • 7-10 years of experience building data-driven, fault-tolerant systems • Proven record of delivering a DL based system • MS or PhD in Computer Science or equivalent practical experience • Extensive experience designing and building modern planning systems a big plus • Passionate about writing amazing, robust, safety-critical, efficient C++ and Python Preferred Skills: • Experience in deep learning, mobile robotics, geometric modeling and trajectory generation Salary Range • $200,000 - 280,000 Exact compensation may vary based on skills and experience.

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