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.
Key Responsibilities- Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including object detection, tracking, online mapping, and end-to-end planning.
- Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
- Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
- Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
- Education: An advanced degree (Master’s or Ph.D., including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
- Core Knowledge: Strong theoretical foundation in machine learning, deep learning, and computer vision, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
- Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
- Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
- Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
- 3D Computer Vision / Bird’s-Eye-View (BEV) Perception
- Online Mapping, Vectorization, or Visual SLAM
- Prediction and Behavioral Modeling
- Academic Achievements: A proven track record of research publications in top-tier machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS) as a primary contributor.
- Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
- Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs is highly desirable.
Skills Required
- Advanced degree (Master's or PhD) in CS, Robotics, EE, Applied Math, Physics, or related (including upcoming graduates)
- Strong theoretical foundation in machine learning, deep learning, and computer vision
- Familiarity with modern architectures (Transformers, CNNs, Graphs/Graph Neural Networks)
- Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow)
- Strong software engineering fundamentals (data structures, algorithms, clean coding practices)
- High self-motivation, strong analytical/problem-solving skills, fast learner, team-player
- Research experience in 3D computer vision / BEV perception, online mapping/vectorization or visual SLAM, or prediction/behavioral modeling
- Publications in top-tier ML/CV/robotics conferences (CVPR, ICCV, NeurIPS, ICLR, ICRA, IROS) as a primary contributor
- Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (TensorRT, ONNX, CUDA, C++)
- Prior internship experience in autonomous driving industry or advanced robotics labs
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.
