Current openings at Bot Auto

Company Introduction 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 machine learning engineers at all levels to join our machine learning team. The mission of our team is to experiment, design and develop solutions addressing open questions in autonomous driving, towards the ultimate goal of full commercialization. You will work with a team of excellent engineers in a vibrant working environment at a fast pace. Key Responsibilities Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. and etc.. Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail. Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components. Qualifications Required Have an advanced degree (Ph.D or Master’s) in related fields of study: computer science, computer engineering, mathematics, physics, and etc. Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, and employ SOTA techniques of machine learning.  Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools. Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects. Preferred Have a proven track record of research publications in top conferences and/or journals as the first author. Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.

Company Introduction 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 startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality. We are seeking a highly skilled Senior Software Engineer to join our Integration team. In this role, you will be responsible for building robust internal tools to manage the release and deployment of autonomous driving software and context data. You will play a critical role in our daily development and operations while helping improve development efficiency across the entire company. Key Responsibilities Design, develop, and maintain build & release pipelines for autonomous driving software packages Architect and implement continuous integration and continuous deployment (CI/CD) pipelines Create and maintain version control systems for autonomous driving software and contextual data (configuration files, map data, etc.) Manage third-party and open source dependencies across our technology stack Collaborate with algorithm and operations teams to ensure smooth development and testing workflows Optimize testing and verification processes across cross-functional teams Implement best practices for software integration in a fast-paced autonomous vehicle environment Required Qualifications 3+ years of experience in software development with focus on build systems and package management Strong proficiency in Python and C++ programming Solid understanding of computer science fundamentals and data structures Demonstrated experience with C++ building tools like CMake and Bazel Knowledge of containerization technologies (Docker) Experience with Git workflows and branching strategies Excellent problem-solving skills with strong attention to detail Outstanding communication abilities and collaborative mindset Preferred Qualifications Experience with compilers, linkers, and assemblers Full-stack development experience Background in autonomous vehicle systems or robotics Experience with distributed version control systems at scale Knowledge of deployment strategies in safety-critical systems

Company Introduction At Bot Auto, we build autonomous trucks to transform the way goods are transported and improve the quality of life for communities worldwide. With a start-up spirit yet long-established experience, Bot Auto has the most seasoned team that has delivered several world’s first and world’s only. Together, we share vision, we see and build miracles and we drive the future of transportation. Join us and turn your dream into something RUNNING. Position Overview We are looking for a Senior Manufacturing Engineer with expertise in designing and developing specialized production equipment such as end-of-line (EOL) testing tools, quality inspection systems, and manufacturing automation. This role is critical to ensuring our retrofitting operations meet the highest safety, quality, and efficiency standards. The ideal candidate will be responsible for process standardization, quality control implementation, and continuous improvement in manufacturing operations. Key Responsibilities Lead NPI and collaborate with design teams to ensure manufacturability of new designs. Develop and maintain Standard Operating Procedures (SOPs) for vehicle retrofitting, ensuring process consistency and operational efficiency. Design and implement customized manufacturing tools, jigs, fixtures, and end-of-line testing equipment to improve production efficiency and quality. Establish quality inspection methods and validation tools to ensure compliance with safety and performance standards. Perform root cause analysis for process inefficiencies or defects, implementing corrective and preventive actions (CAPA). Collaborate with production, design, and supply chain teams to optimize workflow, tooling, and workstation layouts for efficiency and ergonomics. Support automation initiatives to enhance productivity, including sensor-based inspection systems and AI-driven defect detection. Develop and execute training programs for technicians and operators to ensure adherence to best practices and proper use of manufacturing tools. Monitor key manufacturing KPIs (yield, defect rate, cycle time, OEE) and implement continuous improvement initiatives. Ensure compliance with ISO, IATF, and industry safety standards in manufacturing and quality assurance processes. Drive collaboration between engineering and production teams to ensure smooth transition from prototype to mass production. Qualifications Required: Bachelor's or Master’s degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Electrical Engineering, or a related field. 3+ years of experience in manufacturing engineering, production tooling, or quality control within the automotive, robotics, or high-tech hardware industry. Deep understanding of design for manufacturing (DFM), and being able to collaborate with the design team to ensure manufacturability, scalability, and cost-effectiveness. Hands-on experience in designing and implementing end-of-line testing equipment, quality inspection tools, and automation solutions. Hands-on experience in using hand-held tools, electrical power tools, etc. Strong knowledge of manufacturing process optimization, lean principles, and Six Sigma methodologies ( experience with DMAIC will be a plus). Expertise in CAD software (one of SolidWorks, AutoCAD, PTC Creo, and Fusion) for fixture and tooling design. Experience in process failure mode and effect analysis (PFMEA), be able to identify and mitigate potential risks. Proficiency in root cause analysis (RCA), and corrective/preventive action (CAPA) implementation. Strong analytical skills with the ability to interpret manufacturing data and performance metrics. Knowledge of vehicle communication protocols (CAN, LIN) and diagnostic tools for production testing. Basic knowledge of vehicle electrical systems. Preferred: Experience in autonomous vehicle, electric vehicle (EVs), or robotic system manufacturing. Proficiency in PLC or other controller programming, automation control, and data acquisition systems will be a strong plus Hands-on experience with vision-based inspection systems, AI-driven quality control, and Industry 4.0 applications. Familiarity with Python, MATLAB, or LabVIEW for data processing and automation scripting. Knowledge of ISO 9001, IATF 16949, and automotive regulatory requirements. Better to have basic knowledge of ISO 16750, SAE J1455