
11 - 50 employees
📦 Logistics
🚘 Automotive
💼 Consulting
Logistics • Automotive • Consulting
Bot Auto is a leading L4 autonomous trucking company based in Houston, Texas, focused on transforming American transportation through innovative AI-driven solutions. Specializing in Transportation as a Service (TaaS), Bot Auto operates an autonomous truck fleet to offer efficient and reliable freight services. The company leverages cutting-edge AI technology to enhance safety by reducing road accidents, while continually integrating the latest advancements in machine learning, data infrastructure, and hardware. Bot Auto aims to make a significant positive impact on the American supply chain by addressing driver shortages and increasing transportation capacity, positioning itself at the forefront of making autonomous trucking commercially viable and sustainable.
🔥 17 hours ago
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11 - 50 employees
📦 Logistics
🚘 Automotive
💼 Consulting
Logistics • Automotive • Consulting
Bot Auto is a leading L4 autonomous trucking company based in Houston, Texas, focused on transforming American transportation through innovative AI-driven solutions. Specializing in Transportation as a Service (TaaS), Bot Auto operates an autonomous truck fleet to offer efficient and reliable freight services. The company leverages cutting-edge AI technology to enhance safety by reducing road accidents, while continually integrating the latest advancements in machine learning, data infrastructure, and hardware. Bot Auto aims to make a significant positive impact on the American supply chain by addressing driver shortages and increasing transportation capacity, positioning itself at the forefront of making autonomous trucking commercially viable and sustainable.
• Lead system safety analysis for Bot Auto’s autonomous trucking platform across autonomy software, vehicle controls, perception, planning, prediction, localization, compute, sensors, communications, fallback behavior, and operational processes • Develop and maintain hazard analyses, functional safety concepts, technical safety requirements, safety cases, risk assessments, fault trees, FMEAs, STPA analyses, ODD assessments, and validation evidence • Translate hazards and operational risks into clear, testable safety requirements • Partner with autonomy, software, hardware, vehicle integration, infrastructure, security, operations, and test teams to implement and verify safety requirements • Perform the Functional Safety Manager role for the autonomous vehicle platform, coordinating suppliers, distributed safety development, and safety-case work products • Define and refine the Operational Design Domain, including routes, environmental constraints, traffic conditions, vehicle behavior boundaries, fallback strategies, and minimum-risk maneuvers • Evaluate safety impacts of autonomy features, software releases, hardware changes, sensor configurations, procedures, and route expansions • Drive safety reviews for on-road testing, driverless readiness, commercial operations, incident response, and post-event analysis • Analyze logs, simulations, test results, disengagements, interventions, fleet events, and edge cases to identify safety trends • Define verification and validation strategies across simulation, closed-course testing, road testing, shadow mode, and operational deployment • Ensure traceability from hazards to requirements, implementation, test coverage, and safety-case evidence • Contribute to safety governance, launch readiness, change management, release approvals, and operational safety metrics • Support regulatory, customer, partner, insurer, and internal safety reviews • Promote a strong safety culture while enabling disciplined engineering execution
• Bachelor’s degree in Systems Engineering, Electrical Engineering, Mechanical Engineering, Robotics, Computer Science, Aerospace Engineering, Automotive Engineering, or a related technical field • 7+ years of experience in systems safety, functional safety, autonomous vehicles, robotics, aerospace, automotive, heavy vehicles, safety-critical software, or complex cyber-physical systems • Strong experience performing HARA, FMEA, FTA, STPA, failure mode analysis, requirements decomposition, and risk assessment • Experience developing or contributing to safety cases for safety-critical systems • Strong understanding of autonomous vehicle system architecture, including perception, prediction, planning, control, localization, mapping, vehicle actuation, compute, sensing, and fleet operations • Understanding of highly redundant, fault tolerant architectures and fail operational ADS and vehicle health management • Familiarity with ISO 26262, ISO 21448/SOTIF, UL 4600 Safety Case, SAE J3016/J3018, MIL-STD-882, IEC 61508, or similar safety-critical system standards • Demonstrated experience with distributed development of safety systems and coordination of safety work products and safety cases across automotive OEM and Tier 1 or similar integration levels • Familiarity with AVSC Best Practices, SAE standards, and ISO PAS 8800 • Ability to convert ambiguous technical and operational risks into structured engineering requirements and actionable mitigations • Experience working with verification and validation teams to define evidence needed to support safety claims • Strong technical communication skills, including presenting risk decisions, tradeoffs, and safety arguments • Comfort working in a fast-moving startup environment • Nice-to-have: autonomous trucks, commercial vehicles, robotics, AV operations, fleet operations, or on-road testing experience • Nice-to-have: ISO 26262 audit and assessment experience • Nice-to-have: driverless launch readiness, route readiness, ODD expansion, or commercial AV deployment experience • Nice-to-have: vehicle logs, simulation results, scenario databases, disengagements, incidents, or safety-driver intervention analysis • Nice-to-have: trucking operations, FMCSA/DOT regulations, commercial vehicle safety, or heavy-duty vehicle systems familiarity • Nice-to-have: JAMA, Polarion, DOORS, Confluence/JIRA, or similar requirements tools • Nice-to-have: Python, SQL, data analysis, log analysis, or scripting • Nice-to-have: cybersecurity risk assessment, operational safety, incident response, emergency response planning, ISO 21434, and UN ECE R155 • Advanced degree is nice to have
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