Job Details

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.

We seek a highly skilled and innovative mechanical engineer with a strong background in mechatronics, rapid prototyping, and a comprehensive understanding of the hardware and software aspects of self-driving technology.

The ideal candidate will possess an in-depth knowledge of the motion of objects and systems, crucial for developing and enhancing our autonomous vehicle solutions..

We welcome self-driven individuals who excel under limited direction to join our award-winning team and company.

Duties and Responsibilities

• Design and develop mechanical systems for self-driving vehicles, ensuring reliability, efficiency, and safety.
• Conduct detailed studies on the motion of various components and systems within the autonomous driving context.
• Employ rapid prototyping techniques to quickly iterate and refine mechanical designs.
• Collaborate with cross-functional teams, including software engineers, to integrate mechanical systems with autonomous driving software.
• Conduct simulations and real-world testing to validate designs and systems.
• Stay abreast of the latest advancements in self-driving technologies and incorporate them into design and development processes.
• Troubleshoot and resolve mechanical issues in existing and new self-driving vehicle systems.
• Document design processes, analyses, and test results for knowledge sharing and future reference.

Qualifications and Experience

• Familiarity with interfacing sensors (cameras, lidars, radars, IMU, GPS), electronic control systems (DbW systems), and other components used in automated systems with unix-based systems.
• Familiarity with programming with C++/python on unix based platform.
• Working knowledge to troubleshoot and program for CAN and ethernet-based communications with sensors.
• Proficient with using lab equipment for designing, building, and testing.
• Ability to troubleshoot and improve existing equipment, design new equipment solutions, and ensure seamless integration of sensors and electronic control systems with software.
• Ability to program necessary tooling software to troubleshoot interfacing issues with next-gen sensors and electronic control units.
• Proficiency with 3D modeling CAD software (SolidWorks or Fusion360)
• B.S/ Master's degree in computer science, Mechanical Engineering, with a focus on mechanics, Electrical Engineering, or equivalent.

Extra Credit

• Experience with robotic middleware like ROS1.0, ROS2.0, rqt, rviz
• Experience deploying software for unix-based prototyping boards (e.g.. NVIDIA Jetson, DRIVE PX, AGX platforms, etc.)
• Experience developing software on Real Time Operating Systems (QNX, RTLinux, VxWorks, etc.)
• Development of controls algorithms on unix-based platforms
• Time synchronization in a distributed architecture (PTP, NTP, etc.)

$130,000 - $200,000 a year

BlueSpace.aI is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.