Software Engineer, Autonomous Driving Platforms

Bot Auto; San Francisco, Houston (CA, TX); On-site; USD 100,000 - 150,000; Full time

Job summary

Bot Auto is hiring software engineers to build the systems behind autonomous trucking in the Bay Area or Houston. You will tackle full-stack, backend, data pipelines, and ML infrastructure as part of a fast-moving team.

You'll work with React, TypeScript, Python, and Go, designing reliable services, APIs, and tooling that connect fleets, cloud platforms, and real-time data. A strong fundamentals background and eagerness to learn matter most.

Qualifications

• Bachelor's or Master's in CS/Engineering or related field, or equivalent practical experience.
• 0–3 years of professional software engineering experience.
• Solid fundamentals: data structures, algorithms, debugging, testing, and source control.
• Ability to break down problems, learn unfamiliar systems, and deliver well-scoped work.
• Strong written and verbal communication skills.
• Collaborative mindset and attention to detail.

Responsibilities

• Design, implement, test, and maintain software features under guidance of experienced engineers.
• Build user-facing applications, backend services, APIs, data pipelines, or internal engineering tools.
• Develop responsive web interfaces using React and TypeScript.
• Build backend services and workflow automation using Python and Go.
• Work with databases, event-driven systems, and real-time data to connect applications, infrastructure, and autonomous vehicle operations.
• Contribute to platforms supporting fleet operations, simulation, ML, data processing, CI/CD, and software deployment.
• Debug software issues and help improve system reliability, performance, usability, and observability.
• Write clean, maintainable, well-tested, and well-documented code.
• Participate in code reviews, testing, deployment, and production support.
• Collaborate with engineers, product managers, autonomy teams, and operations teams to translate real-world needs into dependable software.
• Learn new technologies and engineering practices as responsibilities grow.

Skills

Software fundamentals

Communication

Collaborative mindset

Problem solving

Learning mindset

Education

Bachelor's or Master's in CS/Engineering

Tools

React

TypeScript

Python

Go

Databases

Docker

Kubernetes

AWS

CI/CD

Job description

Software Engineer, Autonomous Driving Platforms

Houston, TX or San Francisco Bay Area

About the Role

At Bot Auto, we are revolutionizing the transportation of goods through autonomous trucking. With the agility of a startup and the experience of a team that has achieved numerous industry firsts, we build technology that connects autonomous vehicles, cloud infrastructure, data, machine learning, and real-world fleet operations.

We are looking for curious and motivated software engineers to help build the systems that make autonomous trucking possible.

Depending on your interests, experience, and business needs, you may work on one or more areas, including:

• Full-stack and operational applications
• Distributed systems and backend services
• Developer and core infrastructure platforms
• Data processing and workflow orchestration
• Machine learning infrastructure
• Simulation and evaluation applications
• Build, release, and deployment tooling

You do not need prior experience in every area. We are looking for engineers with strong fundamentals, an eagerness to learn, and the ability to solve practical problems collaboratively. You will work alongside experienced engineers and develop expertise through real projects that directly support our autonomous vehicles and operations.

Key Responsibilities

• Design, implement, test, and maintain software features under the guidance of experienced engineers.
• Build user-facing applications, backend services, APIs, data pipelines, or internal engineering tools.
• Develop responsive web interfaces using technologies such as React and TypeScript.
• Build backend services and workflow automation, primarily using Python and, where appropriate, Go.
• Work with databases, event-driven systems, and real-time data to connect applications, infrastructure, and autonomous vehicle operations.
• Contribute to platforms supporting areas such as fleet operations, simulation, machine learning, data processing, CI/CD, and software deployment.
• Debug software issues and help improve system reliability, performance, usability, and observability.
• Write clean, maintainable, well-tested, and well-documented code.
• Participate in code reviews, technical discussions, testing, deployment, and production support.
• Collaborate with engineers, product managers, autonomy teams, and operations teams to translate real-world needs into dependable software.
• Learn new technologies and engineering practices as your responsibilities grow.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 0–3 years of professional software engineering experience. New graduates with strong academic, internship, open-source, or personal project experience are encouraged to apply.
• Solid understanding of software engineering fundamentals, including data structures, algorithms, debugging, testing, and source control.
• Ability to break down problems, learn unfamiliar systems, and deliver well-scoped work.
• Strong written and verbal communication skills.
• Collaborative mindset, attention to detail, and willingness to receive and apply feedback.

Preferred Qualifications

Experience in one or more of the following areas is helpful but not required:

• Full-stack web development using React, TypeScript, and modern frontend tooling.
• Backend service or API development using Python or Go.
• SQL or NoSQL databases.
• Distributed systems, asynchronous processing, or event-driven architectures.
• Data processing, batch workflows, or workflow orchestration systems.
• Machine learning pipelines, model evaluation, experiment tracking, annotation, or dataset management.
• Simulation, visualization, geospatial applications, or real-time operational interfaces.
• Docker, Kubernetes, or cloud platforms such as AWS.
• CI/CD systems, build tools, package management, or developer productivity tooling.
• Streaming and messaging technologies such as NATS, Kafka, MQTT, or WebSockets.
• Observability tools such as metrics, logging, tracing, dashboards, or alerting.
• Autonomous vehicles, robotics, transportation, logistics, or other systems that interact with the physical world.

What We Value

• Strong engineering fundamentals over familiarity with a particular technology stack.
• Demonstrated ability to build, debug, or improve working software.
• Curiosity about how systems work across application, infrastructure, and operational boundaries.
• Ownership of your work while knowing when to ask for help.
• Thoughtful consideration of reliability, usability, maintainability, and real-world impact.
• Interest in growing into a versatile engineer who can contribute across multiple technical domains.

At Bot Auto, engineers are not limited to isolated tasks. You will contribute to production systems, learn from experienced teammates, and have opportunities to explore different engineering areas as the company and your career grow.

U.S. Standard Demographic Questions

We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process.

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For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Bot Auto’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

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