At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
We are looking for a Sensor Engineer to design, evaluate, and integrate the sensor systems that power our autonomous trucking platform. In this role, you will take ownership of sensor selection, system architecture, and vehicle integration, working closely with perception, localization, hardware, and on board teams to deliver robust, scalable, and production-ready solutions. This is a hands-on engineering role with direct impact on real-world autonomous driving performance.
Key Responsibilities- Sensor Evaluation & Validation
- Evaluate and benchmark sensors including LiDAR, radar, cameras, IMU, GNSS/RTK, ultrasonic, and related components
- Design and execute test plans to characterize sensor performance (accuracy, latency, robustness, environmental resilience, reliability)
- Analyze large-scale vehicle data to identify limitations and drive improvements
- Sensor System Architecture Design
- Design the sensor system architecture and system diagrams for autonomous trucks
- Define sensor placement, coverage, redundancy, and failure-handling strategies
- Specify data interfaces, synchronization, and networking (CAN, Ethernet, etc.) between sensors and compute platforms
- System Integration
- Lead sensor integration at the vehicle and system level
- Work closely with perception, localization, planning, onboard systems, and vehicle hardware teams to bring up and debug the system
- Support sensor calibration workflows (intrinsics, extrinsics, time synchronization)
- Issue Resolution & Continuous Improvement
- Debug sensor-related issues including data dropouts, timing misalignment, noise, and environmental failures
- Drive optimization across performance, cost, reliability, and manufacturability
- Others:
- Collaborate with sensor vendors and track industry technology trends
- Stay updated with the latest advancements in sensors and actively contribute to research and development efforts to enhance the capabilities of our autonomous vehicle platform.
Required:
- Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, Robotics, Automotive Engineering, or related fields
- 3+ years of experience in autonomous driving, ADAS, robotics, or automotive sensing systems
- Strong understanding of the operating principles and trade-offs of multiple sensor modalities (e.g., LiDAR + camera, radar + IMU)
- Proven experience in sensor evaluation, system architecture design, or system integration
- Ability to design and communicate clear sensor system diagrams and technical trade-offs
- Familiarity with in-vehicle communication protocols such as CAN, CAN-FD, Automotive Ethernet
- Proficiency in Python or C++ for data analysis and debugging
- Solid understanding of sensor calibration, synchronization, and multi-sensor fusion fundamentals
Preferred:
- Experience with autonomous trucks or commercial vehicles
- Production or pre-production automotive program experience
- Knowledge of functional safety concepts (ISO 26262)
- Experience with ROS / ROS2 or other autonomous driving middleware
- Hands-on experience working with sensor suppliers and external partners
Top Skills
What We Do
We are an L4 autonomous trucking company, based in Houston, Texas. We operate our autonomous truck fleet and offer Transportation as a Service (TaaS) to our freight customers.
Our team combines visionary leadership, top-tier science and engineering talents, financial and governance experts, and industry veterans to build an AI-driven autonomous trucking company. We focus on fleet operations, transforming autonomous trucking into a commercially profitable product. This blend of experience, industry maturity, and innovative technology positions us to commercialize autonomous trucking at scale.
