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Principal Robotics Engineer Bot Routing Jobs in Texas

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

Bot Auto is revolutionizing the transportation of goods with autonomous trucks, and they are ... robotic or autonomous systems. • Expertise in Python and PyTorch; strong understanding of modern ...

Wilder Systems

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 ...

Wilder Systems

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 ...

Sidram Technologies

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 ...

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All JobsPrincipal Robotics Engineer Bot Routing JobsPrincipal Robotics Engineer Bot Routing Jobs in Texas

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 job categories do people searching Principal Robotics Engineer Bot Routing jobs in Texas look for?

The top searched job categories for Principal Robotics Engineer Bot Routing jobs in Texas 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:

Principal Robotics Engineer Bot Routing jobs near you
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.

Senior ML/RL Engineer, Behavior Planning

Houston, TX • On-site

Bot Auto
See more jobs at Bot Autoexternal

$99K - $137K/yr

Full-time

Re-posted 18 days ago

Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with autonomous trucks, and they are seeking a Senior ML/RL Engineer to develop their unified behavioral architecture. This role involves bridging the gap between simulation and real-world applications by creating scalable policy frameworks and ensuring safety in autonomous navigation.
Responsibilities:
• Behavioral Modeling: Develop and train diverse, conditioned policies that simulate realistic driving behaviors to stress-test and validate our autonomous driving stack.
• Safety-Constrained Learning: Lead the research and implementation of advanced RL algorithms to ensure safety metrics are treated as primary constraints in the learning process.
• Reward & Objective Design: Collaborate with cross-functional teams to design robust reward functions and evaluation metrics that balance safety, progress, and comfort.
• Scalable Training Pipelines: Contribute to the optimization of our large-scale, high-throughput training environments to enable rapid iteration on complex multi-agent scenarios.
• Model Architecture: Advance our state-of-the-art neural architectures to improve spatial reasoning, long-horizon planning, and interaction modeling.
• Cross-Team Collaboration: Work closely with Simulation and Planning teams to integrate research-grade models into production-quality, safety-critical software.
Qualifications:
Required:
• Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real-world robotic or autonomous systems.
• Expertise in Python and PyTorch; strong understanding of modern deep learning architectures and optimization techniques.
• MS or PhD in Computer Science, Robotics, or a related quantitative field.
• Ability to diagnose and solve fundamental challenges in RL training, such as variance management and distribution shift.
Preferred:
• Experience with constrained optimization or safety-critical learning frameworks.
• Background in MARL training stability, including self-play and decentralized execution strategies.
• Familiarity with vehicle dynamics and behavior planning, particularly for long-haul highway environments.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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