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As Software Engineer - Perception, you will be part of the Autonomous Control Algorithms Team under Machine Intelligence & Analytics Department. The Autonomous Control Algorithms Team is responsible for core algorithms enabling the autonomous operation of the Virgin Hyperloop Transportation System, including onboard decision making, motion planning, perception, and safety protection.

The Autonomous Control Algorithms Team works closely with simulation and data teams within department to develop core onboard algorithms, libraries, toolchains, prepare autonomous control software for Software-in-The-Loop (SIL) and Hardware-in-The-Loop (HIL) tests, perform analysis, and iterate system and algorithm design. In the process, the Autonomous Control Algorithms Team collaborates with safety and system departments to rigorously verify and validate the developed algorithms and software. Ultimately, the Autonomous Control Algorithms Team works with embedded software department to develop and deploy safety critical software to production Hyperloop system.

Hyperloop vehicle relies on a variety of onboard and wayside sensors to estimate own states and percept surrounding environment. The state estimation and perception module is critical for hyperloop vehicle to detect safety hazard, avoid collision, and enable convoying operation. In this role, you will work on the development of core state estimation and perception algorithms using onboard and wayside sensors, including localization, visual object detection and classification, and tracking.

Ultimately, we will design a safe, autonomous, and intelligent command and control system that make Hyperloop a reality. We are seeking highly passionate and self-motivated candidates with various levels of experience to join our team of qualified, diverse individuals at our Los Angeles facility


  • Design, develop, and deliver the core onboard autonomous control algorithms and software in C++.
  • Develop sensor fusion algorithms for localization and spacing estimation.
  • Develop lidar perception algorithms in tube environment for object detection, classification, and tracking.
  • Evaluate algorithms in simulation environment, iterate and improve algorithm and system design.
  • Communicate, present, and defend opinions concerning physical and logical architecture in a productive and diplomatic fashion.
  • Keep a customer focused mindset, prioritizing developer productivity and application uptime.
  • Champion processes and procedures across the organization. 


  • MS/PhD degree in robotics, computer science, mechanical/electrical engineering, or equivalent fields.
  • Advanced proficiency in C++/STL and Linux environment and strong production software development abilities.
  • Knowledge/experience with perception algorithms based on lidar point cloud data.
  • Knowledge/experience with sensor fusion and state estimation algorithms.
  • Strong analytical skills and excellent foundation in data structure and algorithms, control theory, linear algebra, optimization, etc.


  • Experience delivering avionics, automotive, or other safety critical software products.
  • Domain expertise and knowledge in field of perception, computer vision, transportation, logistics, and autonomous systems.
  • Experience with ROS, Gazebo environment.
  • Strong research ability to provide solutions to a variety of technical problems of increasing scope and complexity.


  • Our Benefits: medical (including infertility & mental health), dental, vision, life, FSA, HSA, 401k, and more 
  • Your Wellbeing: flexible work schedules, unlimited PTO, and 16 weeks of paid parental leave
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