
Current openings at Bot Auto
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.
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Senior Machine Learning Engineer
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.
Manager/Director, Production & Manufacturing Lead
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 seeking an experienced Manager/Director, Production & Manufacturing Lead to oversee and optimize our retrofitting and manufacturing processes. This role will be responsible for defining, implementing, and managing end-to-end manufacturing workflows, ensuring efficiency, quality, and scalability. The ideal candidate will have extensive experience in vehicle modification, prototype assembly, or production manufacturing and possess a strong understanding of retrofitting workflows, quality control, and supplier coordination.
Key Responsibilities
Develop and optimize the end-to-end vehicle retrofitting and manufacturing workflow, ensuring efficient parallel execution to scale operations.
Define and implement manufacturing processes, work instructions, and quality standards to improve consistency and reliability.
Manage production schedules, resource allocation, and team coordination to ensure timely and cost-effective project execution.
Collaborate with engineering, supply chain, and operations teams to continuously improve manufacturing efficiency and quality.
Oversee vendor and supplier coordination for retrofitting materials, tools, and equipment, ensuring timely availability and quality compliance.
Establish process control mechanisms and KPIs to track production efficiency, quality, and cost reduction efforts.
Lead troubleshooting and problem-solving initiatives to minimize rework and improve operational efficiency.
Ensure adherence to safety, regulatory, and compliance standards in all production processes.
Provide technical leadership in vehicle modification, assembly, and validation processes.
Support new product introduction (NPI) by developing scalable manufacturing strategies for upcoming vehicle platforms.
Qualifications
Required:
Bachelor's or Master's degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Automotive Engineering, or a related field.
5+ years of experience in vehicle retrofitting, prototype development, production, or manufacturing within the automotive, commercial vehicles, or mobility industry.
Strong understanding of retrofitting processes, vehicle assembly, quality control, and lean manufacturing principles.
Experience in designing, implementing, and optimizing production workflows for vehicle assembly, modification, or automation.
Proven ability to manage production planning, scheduling, and resource allocation.
Hands-on experience in supplier and vendor management and IQC process, ensuring timely procurement and quality control of parts and materials. Be able to define quality inspection processes based on product data sheets and prepare reports.
Good understanding of PFMEA, identifying potential failure modes, and proposing an improvement method.
Strong problem-solving skills with the ability to troubleshoot manufacturing and quality issues.
Proficiency in manufacturing software/tools such as ERP/MES systems and process simulation tools.
Proven ability to make training plans and lead the training process of technicians.
Excellent leadership, communication, and cross-functional collaboration skills.
Preferred:
Experience in autonomous vehicles, EVs, or advanced mobility manufacturing.
Knowledge of ISO 9001, IATF 16949, and other relevant quality standards.
Familiarity with automation, robotics, and digital manufacturing technologies.
Experience with low-volume, high-complexity vehicle retrofitting and system integration.
Lean Six Sigma certification or experience with continuous improvement methodologies.
Efficiency in the office suite and Google workspace.
Better to be familiar with hand tools, electrical power tools, and air tools.
Senior Software Engineer, Software Integration
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