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Internship Waymo Autonomous Vehicle Jobs in Texas

We'rebuilding the world's most innovative autonomous vehicles to safely connect people to the ... Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns ...

... Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with ...

... Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with ...

... Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with ...

Electro-Mechanical Assembler

Haslet, TX · On-site

$18 - $23/hr

... Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Link: Introducing Nimble - Intelligent Fulfillment Robots at Scale Why Join Nimble? At Nimble, we are ...

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Internship Waymo Autonomous Vehicle information

What is an internship at Waymo Autonomous Vehicle?

An internship at Waymo Autonomous Vehicle is a temporary position for students or recent graduates to gain hands-on experience working with the technology and operations behind self-driving cars. Interns may work in various departments such as engineering, software development, data analysis, or operations, collaborating with professionals to solve real-world problems related to autonomous vehicles. These internships typically last several months and provide valuable exposure to cutting-edge advancements in autonomous driving, as well as opportunities for professional growth and networking within the industry.

What types of projects do interns typically work on at Waymo in the Autonomous Vehicle division?

Interns at Waymo’s Autonomous Vehicle division often contribute to impactful projects such as software development for perception, simulation, or mapping, as well as data analysis to improve vehicle safety and performance. You may work alongside experienced engineers and researchers, collaborating on real-world challenges like object detection, sensor fusion, or motion planning. These projects are designed to both advance Waymo’s technology and provide interns with hands-on experience, mentorship, and opportunities to present their work. Interns are encouraged to take initiative and are given responsibilities that directly contribute to ongoing product development.

What are the key skills and qualifications needed to thrive as an intern at Waymo in autonomous vehicles, and why are they important?

To thrive as an Intern at Waymo in Autonomous Vehicles, you typically need a solid background in computer science, robotics, or engineering, along with strong programming skills in languages like Python or C++. Familiarity with tools such as ROS (Robot Operating System), simulation frameworks, and experience with machine learning or sensor data processing is highly valuable. Strong problem-solving abilities, teamwork, and effective communication skills set top candidates apart. These skills and qualities are critical for contributing to innovative autonomous vehicle solutions and collaborating effectively within a multidisciplinary team.

What is the difference between Internship Waymo Autonomous Vehicle vs Autonomous Vehicle Software Engineer Intern?

AspectInternship Waymo Autonomous VehicleAutonomous Vehicle Software Engineer Intern
CredentialsRelevant coursework, basic programming skillsComputer science or engineering background, coding skills
Work EnvironmentHands-on with autonomous vehicle systems, testing, and data analysisSoftware development, coding, and algorithm design for autonomous systems
Employer & IndustryWaymo, autonomous vehicle industryTech companies, automotive or autonomous vehicle industry

The Internship Waymo Autonomous Vehicle typically focuses on gaining practical experience in autonomous vehicle operations, testing, and data analysis. In contrast, the Autonomous Vehicle Software Engineer Intern role emphasizes software development, coding, and algorithm design for autonomous systems. Both internships are valuable entry points into the autonomous vehicle industry but differ in their focus areas and skill requirements.

What are the most commonly searched types of Waymo Autonomous Vehicle jobs in Texas?

The most popular types of Waymo Autonomous Vehicle jobs in Texas are:

What are popular job titles related to Internship Waymo Autonomous Vehicle jobs in Texas?

For Internship Waymo Autonomous Vehicle jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Internship Waymo Autonomous Vehicle jobs in Texas look for?

The top searched job categories for Internship Waymo Autonomous Vehicle jobs in Texas are:

What cities in Texas are hiring for Internship Waymo Autonomous Vehicle jobs?

Cities in Texas with the most Internship Waymo Autonomous Vehicle job openings:

Infographic showing various Internship Waymo Autonomous Vehicle job openings in Texas as of August 2026, with employment types broken down into 62% Full Time, 36% Part Time, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution.

Software Engineer, Autonomous Driving Platforms

Bot Auto

Houston, TX • On-site

Full-time

Re-posted 7 days ago


Job description

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.
  • Programming proficiency in at least one general-purpose language, preferably Python, Go, JavaScript/TypeScript, Java, or C++.
  • 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.