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Principal Robotics Engineer Bot Routing Jobs in San Francisco, CA

Kodiak

Software Engineer, Routing

San Francisco, CA · On-site

$145K - $190K/yr

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground ... The role offers exposure to cutting-edge routing algorithms and unsolved problems, as well as ...

The Bot Company

Something Else

San Francisco, CA · On-site

$200K - $350K/yr

The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google ...

1X Technologies AS

Principal Safety Engineer

San Carlos, CA · On-site

$250K - $350K/yr

About 1X We're building humanoid robots that work in home - doing the chores, handling the tasks ... Your Charter We are seeking a deeply technical Principal Safety Engineer to help define what safety ...

1X

Principal Safety Engineer

San Carlos, CA · On-site

$180 - $250/hr

About 1X We're building humanoid robots that work in home - doing the chores, handling the tasks ... Your Charter We are seeking a deeply technical Principal Safety Engineer to help define what safety ...

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All JobsPrincipal Robotics Engineer Bot Routing JobsPrincipal Robotics Engineer Bot Routing Jobs in San Francisco, CA

Principal Robotics Engineer Bot Routing information

See San Francisco, CA salary details

$87.2K

$173.5K

$250.4K

How much do principal robotics engineer bot routing jobs pay per year?

As of Sep 7, 2026, the average yearly pay for principal robotics engineer bot routing in San Francisco, CA is $173,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,600.00 and $203,800.00 per year, depending on experience, location, and employer.

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 San Francisco, CA?

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

What job categories do people searching Principal Robotics Engineer Bot Routing jobs in San Francisco, CA look for?

The top searched job categories for Principal Robotics Engineer Bot Routing jobs in San Francisco, CA are:

Principal Robotics Engineer Bot Routing jobs near you
Infographic showing various Principal Robotics Engineer Bot Routing job openings in San Francisco, CA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $173,451 per year, or $83.4 per hour.

Machine Learning: Multimodal Foundation Models

The Bot Company

San Francisco, CA • On-site

$180 - $290/hr

Other

Re-posted 13 days ago

Job description

The Bot Company

We're building a helpful robot for every home.

We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.

Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.

What we look for in all candidates

All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:

  • Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.

  • Engineering curiosity: you naturally dig into how systems work, even outside your specialty.

  • High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.

Machine Learning: Multimodal Foundation Models

We are building unified foundation models that natively reason across text, image, video, and kinematics to drive intelligent robotic policies.

You will work on large multi-modal networks and own the entire stack from data to training and deploying models.

What You'll Do

  • Build Native Multimodal Policies: Develop architectures where vision, language, and more modalities share a unified representation.

  • Improve Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints).

  • Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments; diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains.

  • Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.

Requirements

  • Very strong coding skills in Python, C++, or Rust.

  • Production MLLM Experience: Track record of training and deploying large-scale multimodal models.

  • Pretraining & RL Mastery: Deep intuition for LLM-style pretraining, post-training, and Reinforcement Learning at scale.

  • Infrastructure Fluency: Comfortable managing and optimizing large-scale experiments on massive GPU clusters.

Why Join

You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.

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