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Principal Robotics Engineer Bot Routing Jobs in Texas

Wilder Systems is seeking a Principal Mechanical Engineer to be responsible for turning design ... robotics for aerospace. Responsibilities * Strategic Leadership: Lead and influence the company ...

Principal Mechanical Engineer

Austin, TX · On-site

$155K - $200K/yr

Wilder Systems is seeking a Principal Mechanical Engineer to be responsible for turning design ... robotics for aerospace. Responsibilities * Strategic Leadership: Lead and influence the company ...

RPA Developer - w2

Dallas, TX · On-site

$66K - $86K/yr

Support senior developers with bot development, testing, and deployment. * Analyze simple business ... Follow RPA development best practices, coding standards, and templates. * Maintain and update ...

Principal Engineer CoCounsel is our most advanced AI offering to date - combining generative and ... Partner with AI/ML and platform teams to right-size model selection, routing, and usage patterns ...

Principal AI EngineerIntroduction: As a Principal AI Engineer, you will be based in Dallas. This ... Build infrastructure for routing and managing LLM service calls, develop prompt engineering and ...

Showing results 41-60

Principal Robotics Engineer Bot Routing information

What does a principal robotics engineer bot routing do?

A Principal Robotics Engineer specializing in Bot Routing is responsible for designing, developing, and optimizing the algorithms and systems that control how robots navigate and move through their environments. This includes creating efficient routing paths, coordinating multiple robots, and ensuring reliable and safe movement in complex settings like warehouses or manufacturing facilities. They often lead teams, set technical direction, and collaborate with software and hardware engineers to integrate routing solutions into robotics platforms. Their work directly impacts the efficiency and effectiveness of automated robotic systems.

How does a principal robotics engineer bot routing typically collaborate with cross-functional teams to optimize autonomous system performance?

As a Principal Robotics Engineer focused on bot routing, you will regularly partner with software developers, hardware engineers, data scientists, and operations teams to design and refine routing algorithms for autonomous robots. Collaboration often involves joint problem-solving sessions to address route efficiency, obstacle avoidance, and real-time system adaptation. You will also contribute technical leadership by mentoring junior engineers and ensuring that routing solutions align with broader project goals. This cross-disciplinary teamwork is essential for successfully deploying and scaling robotic solutions in dynamic environments.

What are the key skills and qualifications needed to thrive as a principal robotics engineer bot routing, and why are they important?

To thrive as a Principal Robotics Engineer in Bot Routing, you need advanced expertise in robotics, algorithm development, and systems engineering, typically supported by a graduate degree in robotics, computer science, or a related field. Proficiency with ROS (Robot Operating System), simulation tools like Gazebo, and experience with C++/Python programming are commonly required, along with relevant certifications. Strong leadership, problem-solving, and communication skills help in guiding multidisciplinary teams and coordinating complex projects. These skills are crucial for designing efficient routing algorithms, ensuring system reliability, and driving innovative robotics solutions in dynamic environments.

What is the difference between Principal Robotics Engineer Bot Routing vs Robotics Engineer?

AspectPrincipal Robotics Engineer Bot RoutingRobotics Engineer
CredentialsBachelor's/Master's in Robotics, Electrical, or Mechanical Engineering; experience with bot routing systemsBachelor's or higher in Robotics, Mechanical, Electrical Engineering; some experience with robotics systems
Work EnvironmentDesigning and overseeing complex bot routing algorithms in R&D or advanced manufacturingDeveloping and testing robotics applications in labs or field environments
Industry UsageUsed in automation, logistics, and manufacturing sectors for advanced routing solutionsApplied across various industries for general robotics development and implementation

The main difference is that Principal Robotics Engineer Bot Routing focuses on leading the design and optimization of bot routing systems, often in senior technical roles, while Robotics Engineers typically develop and implement robotics solutions at a more operational level. Both roles require strong technical skills, but the principal role involves higher-level oversight and strategic planning.

What are popular job titles related to Principal Robotics Engineer Bot Routing jobs in Texas?

For Principal Robotics Engineer Bot Routing jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Principal Robotics Engineer Bot Routing jobs?

Cities in Texas with the most Principal Robotics Engineer Bot Routing job openings:

Infographic showing various Principal Robotics Engineer Bot Routing job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Software Engineer, Autonomous Driving Platforms

Bot Auto

Houston, TX • On-site

Full-time

Posted 27 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.