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Principal Robotics Engineer Bot Routing Jobs in Texas

Bot Auto

Senior Software Engineer, Build Tools

Houston, TX · On-site

$117K - $154.20K/yr

Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our ... Full-stack development experience * Background in autonomous vehicle systems or robotics

Bot Auto

Senior Software Engineer, Build Tools

Houston, TX · On-site

$116.90K - $154.20K/yr

Bot Auto is revolutionizing the transportation of goods with cutting-edge autonomous trucks. They ... robotics • Experience with distributed version control systems at scale • Knowledge of ...

Bot Auto

Senior Software Engineer, Build Tools

Houston, TX · On-site

$117K - $154.20K/yr

Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our ... Full-stack development experience * Background in autonomous vehicle systems or robotics

Sidram Technologies

RPA Developer - w2

Dallas, TX · On-site

$66.30K - $86.10K/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 ...

CyberCoders

Principal Engineer

Arlington, TX · On-site

Principal Engineer About the Role We are seeking a Principal Engineer to serve as a hands-on ... Program, integrate, and support industrial robots such as Fanuc, ABB, KUKA, or similar * Lead or ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our ... You will work directly with our engineering teams to ensure our models are trained on high-fidelity ...

Bot Auto

Data Annotation Specialist

Houston, TX

Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our ... You will work directly with our engineering teams to ensure our models are trained on high-fidelity ...

Symbotic

Principal Software Engineer

Austin, TX · On-site

$180K - $247.50K/yr

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... What we need Symbotic is seeking a Principal Software Engineer to join the incredibly talented team ...

Symbotic

Principal Software Engineer

Austin, TX · Hybrid

$180K - $247.50K/yr

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... What we need Symbotic is seeking a Principal Software Engineer to join the incredibly talented team ...

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Principal Robotics Engineer Bot Routing information

What are the key skills and qualifications needed to thrive as a Principal Robotics Engineer in 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.

How does a Principal Robotics Engineer specializing in 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 does a Principal Robotics Engineer specializing in 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.

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 May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 94% Physical, and 6% Hybrid job distribution.

Software Engineer, Machine Learning Infrastructure

Bot Auto

Houston, TX • On-site

$165.20K - $195.80K/yr

Other

Posted 19 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

We are seeking a highly skilled and motivated Software Engineer to design, develop, and scale our machine learning annotation, evaluation, and training infrastructure. This role is central to the quality and velocity of our perception and ML models - from curating and managing high-quality annotated datasets, to building robust evaluation pipelines that drive continuous model improvement. The ideal candidate combines strong systems engineering skills with a deep understanding of ML Workflows/Ops and large-scale data infrastructure.

Key Responsibilities

Machine Learning & Deep Learning Infrastructure

  • Evaluation Platform - Architect and own a scalable, end-to-end model evaluation platform for perception and prediction models central to autonomous driving. Define metrics, design for scale, and make results actionable for researchers.
  • Training Infrastructure - Partner with research scientists to optimize and scale distributed training workflows. Integrate experiment tracking and reproducibility into the model lifecycle from day one.
  • Dataset & Feature Store - Design and maintain a versioned, high-quality training data store that accelerates model development and supports rapid iteration.
  • ML Pipelines - Build automated pipelines spanning data preparation, model training, validation, and deployment - enabling fast experimentation and reproducible outcomes.
  • Annotation Platform - Contribute to tooling and infrastructure that powers high-throughput, high-accuracy data annotation at scale.
  • MLOps - Develop production ML services that treat models as products - with reliability, observability, and continuous improvement built in.

Data Infrastructure

  • Maintain and evolve a robust data storage and access layer (S3 data lake, Delta Lake) underpinning annotation, evaluation, and training workflows.
  • Build scalable, reliable data collection pipelines supporting diverse vehicle dispatch missions.
  • Develop foundational services and packages that provide clean, performant access to autonomous driving data across the stack.
Qualifications

Required:

  • Educational Background: Bachelor's or Master's in Computer Science, or equivalent practical experience.
  • Strong Programming Skills: Strong proficiency in Python; working knowledge of C++
  • ML/DL Infrastructure Experience - Demonstrated hands-on experience building or scaling at least one of the following in a production environment:
    • Evaluation platforms - automated model benchmarking, metric computation, and regression tracking across model versions.
    • Training infrastructure - distributed training pipelines, experiment tracking, and model lifecycle management (e.g. W&B, MLflow, ClearML).
    • Dataset curation & feature stores - versioned dataset management, data lineage, and tooling for high-quality training data at scale.
    • Annotation platforms - tooling or pipelines that support high-throughput, high-accuracy labeling workflows.
  • Distributed Systems - Strong experience with distributed computing and container orchestration - Kubernetes, Spark, or comparable frameworks.
  • Ability to operate independently: scope ambiguous problems, make sound architecture decisions, and drive them to completion.

Preferred:

  • C++ experience in performance-sensitive or safety-critical applications
  • Full-stack service development experience.
  • Prior work in autonomous driving or robotics.

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