Motion Planning Engineer

United States·OaklandFull Timemid

OtherMotion Planning Engineer

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Quick Summary

Overview

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BlueSpace.ai is revolutionizing the autonomous vehicle industry with our groundbreaking self-driving technology. Unlike conventional autonomy software, our patented 4D Predictive Perception removes reliance on data. By leveraging next-gen 4D sensors, we can precisely predict the motion of all objects, increasing accuracy, lowering latency, and setting a new standard for safety and efficiency in autonomy.

Our team consists of seasoned professionals from across the autonomous vehicle (AV) ecosystem, including OEMs, world-class research institutions, and leading autonomous driving companies. With a proven track record of successful AV service launches in California, Texas, and Florida, we are well-positioned to drive the next generation of autonomy.

We are seeking talented, self-motivated individuals who thrive in a fast-paced, dynamic environment and are passionate about making a significant impact on the future of mobility. If you’re driven to tackle the most complex challenges in autonomy and push the boundaries of what is possible, we want to hear from you.

BlueSpace, we’ve chosen to tackle a generational challenge that no one person can accomplish alone. We see collaboration and learning as the best way to bring autonomy to everyone. You’ll be working with a team of experts who share knowledge, teach each other, and work together to develop creative solutions to solve some of the world’s hardest and most impactful problems. We strive to make BlueSpace an engaging, collaborative, flexible, and fun environment in which each person contributes their best ideas. Each new step on our journey is approached with an open mind. You’ll have the opportunity to create industry-leading algorithms, put them into software to help our customers make their spaces safer and more efficient, and see them come to life running hands-on tests on our vehicles.

Duties and Responsibilities

Motion planning development is needed to support customers who need a full stack autonomy solution to meet their safety and productivity needs. Our customers operate in unstructured environments, indoors and outdoors, in a range of environments and weather conditions. You will draw on the latest advancements in motion planning while creating novel advanced algorithms as we learn what we need to do to help our customers meet their goals. Algorithm design, software implementation, software testing, verification and validation, and in field testing and evaluation are all part of the job. You’ll be doing all these activities in a way that allows BlueSpace to scale to new customers while ensuring our current customers get what they need. As part of a collaborative team, you’ll work with other engineers across the stack to identify what capabilities we need to delight our customers and continuously learn and iterate so we can deliver an end product that exceeds expectations.

We will consider remote candidates

Demonstrated deep knowledge of modern motion planning and control software including sample base motion planning and trajectory or behavior route planning.

Experience designing and implementing motion planning methods in deployed software running in real-time on a robotic platform.

Strong foundational technical skills in mathematics, physics, probability/statistics, and engineering (for example, as demonstrated by relevant educational experience, published work, or publicly available software)

Experience developing in multiple large, complex C++ codebases.

Ability to design software testing suites for robust motion planning.

Enjoy learning from others and sharing your knowledge.

Having worked a product from initial development to releaseKnowledge of verification, validation, and safety analysis for autonomous vehicles or other complex systems

Development experience in parts of an autonomy stack beyond motion planning and controls

Technical leadership in a software or engineering organization

Experience with ROS, OpenCV ROS2, and/or QNX