Jobs at Bot Auto

The role involves retrofitting autonomous kits onto trucks and troubleshooting issues during operations, focusing on integration and diagnostics.

The Onboard Infrastructure Engineer will develop and maintain onboard infrastructure for autonomous vehicles, focusing on software reliability, system integration, and performance optimization.

Build high-performance, scalable simulation infrastructure and tooling for autonomous vehicle development. Design systems for scenario generation, simulation execution, synthetic data, and reinforcement-learning workflows. Collaborate with ML, perception, and controls teams to improve realism, performance, and validation pipelines while writing production-quality C++ and Python code, contributing to architecture, testing, and documentation.

Design, build, and ship backend services and frontend tools for fleet scheduling, dispatch, monitoring, maintenance, and operator workflows. Implement core features, build and consume APIs, work with databases and event-driven integrations, develop role-based operator tools, debug and improve production reliability, and collaborate with product and operations teams.

Design and build core operation platforms (scheduler, dispatcher, vehicle console, TMS) for autonomous trucking. Create durable object models, state machines, event-driven services, real-time operator tooling, APIs, and integrations. Ensure safety-critical workflows are observable and resilient while partnering with autonomy, operations, and product teams and driving engineering excellence.

The Software Engineer Intern will contribute to developing tools and automation for fleet operations, working hands-on with experienced engineers.

The Senior Software Engineer will design and maintain CI/CD pipelines, manage software deployments for autonomous vehicles, and optimize workflows for development and testing.

The Algorithm Engineer will maintain and improve core autonomy code, build validation pipelines, and collaborate with teams for efficient issue resolution in autonomous truck systems.

Design and build full-stack features for Autonomous Traffic Control, develop responsive web interfaces, and integrate backend services with real-time data for autonomous vehicles.

Design and implement algorithms for motion planning and behavior in autonomous trucks, focusing on prediction, mapping, and validation processes.

The Senior Software Engineer, Workflow Platforms will architect, build, and operate orchestration platforms for machine learning, data pipelines, and CI/CD at Bot Auto, ensuring reliability and efficiency.

The Senior ML/RL Engineer will develop behavior models, implement RL algorithms focusing on safety, design reward functions and optimize training environments while collaborating across teams.

The Senior Software Engineer will design and maintain CI/CD pipelines, manage build systems, and collaborate on improving development workflows for autonomous driving software.

Responsible for designing and maintaining build and release pipelines for autonomous driving software, optimizing development workflows, and collaborating with teams.

Responsible for creating and maintaining build & release pipelines for autonomous driving software, optimizing testing processes, and collaborating across teams to enhance development efficiency.

This internship offers MBA candidates hands-on experience in business development, strategic finance, budgeting, market research, and special projects within an autonomous trucking company.

The role involves designing and developing machine learning infrastructure for annotation, evaluation, and training models, focusing on scalable systems and efficient data workflows.

The Onboard Infrastructure Engineer will develop and maintain onboard systems for autonomous vehicles, focusing on reliability, data management, and system integrations.

The Data Annotation Specialist will annotate and validate data for autonomous driving systems, ensuring high-quality data for training models.

The role involves exploring ideas in deep learning, managing machine learning project life cycles, and collaborating on autonomous driving technology.