Design and develop mechanical systems for autonomous vehicles, collaborate with software teams, conduct testing, and troubleshoot issues.
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.)
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.
Top Skills
C++
Fusion360
Python
Ros1.0
Ros2.0
Solidworks
Unix
BlueSpace.ai Emeryville, California, USA Office
Emeryville, California, United States
Similar Jobs
Artificial Intelligence • Machine Learning • Software
As a Senior Mechatronics Engineer, you will develop AI-enabled robot cells, manage project designs, and collaborate with various teams to create advanced robotic systems.
Top Skills:
3D PrintingCncMotion Control ComponentsPlcsPneumatic SystemsPythonSolidworks
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
You will develop and maintain software for Sentry Tower systems, ensure reliability of features, and integrate sensor technology for autonomous planning.
Top Skills:
C++CanMatlabPythonSpiUart
Aerospace
As a Mechatronics Engineer, you'll develop and implement tests for spacecraft mechanisms, design testing racks, and write software to control test equipment.
Top Skills:
Cad SoftwareNxPythonSolidworks
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
