Full-Time

Senior Motion Planning Engineer

Updated on 8/1/2026

Embedding VC

Embedding VC

11-50 employees

Early-stage venture fund for Generative AI

No salary listed

Fremont, CA, USA

In Person

Category
AI & Machine Learning (1)
Required Skills
Python
C/C++
Robotics

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Requirements
  • At least 4 years of demonstrated experience developing, implementing, and testing motion-planning algorithms with industrial robot arms.
  • Strong knowledge of optimization-based, sampling-based, and search-based planning methods.
  • Proficiency in C++ and Python.
  • Experience working with ROS, ROS2, MoveIt, or similar frameworks.
  • Experience developing and testing motion-planning algorithms in simulation environments.
  • Excellent written and verbal communication skills.
  • Self-motivation, proactivity, confidence, and initiative for innovation.
Responsibilities
  • Design and optimize real-time motion-planning algorithms for a high-degree-of-freedom mobile manipulator to generate collision-free, smooth, and time-optimal trajectories.
  • Collaborate to integrate motion planning with perception, control, and hardware in a production environment.
  • Participate in architectural decisions to ensure alignment with system requirements and planning performance.
  • Research and assess modern motion-planning techniques to inform implementation choices.
  • Maintain high-standard software development practices and mentor and guide junior developers.

Embedding VC is an early-stage venture fund that backs Generative AI startups. It provides seed to early-stage capital and operational guidance, leveraging a team of current and former builders and operators who can help portfolio companies grow. The fund’s approach centers on working closely with founders and using hands-on experience to scale AI projects, including those aiming toward AGI, during a period described as a new computing super cycle driven by AI innovations. Unlike funds that rely mainly on financial leverage, Embedding VC differentiates itself through its deep operator network, practical support, and focus on and commitment to building capable, scalable AI businesses. The overall goal is to support ambitious AI founders to advance the development and deployment of AI technologies and capture value in the expanding AI ecosystem.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Menlo Park, California

Founded

2023

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Benefits

Health Insurance

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

20%

1 year growth

12%

2 year growth

12%
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