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Principal Robotics Engineer Bot Routing Jobs in Pittsburgh, PA

Wolfe, LLC

Software Security Engineer

Pittsburgh, PA · On-site

$110K - $120K/yr

Build the automation that triages, routes, and reports vulnerability findings, and run our ... Operate and improve Bot Management, WAF, secrets management, and API security controls across Wolfe ...

Wolfe, LLC

Software Security Engineer

Pittsburgh, PA · On-site

$110K - $120K/yr

Build the automation that triages, routes, and reports vulnerability findings, and run our ... Operate and improve Bot Management, WAF, secrets management, and API security controls across Wolfe ...

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All JobsPrincipal Robotics Engineer Bot Routing JobsPrincipal Robotics Engineer Bot Routing Jobs in Pittsburgh, PA

Principal Robotics Engineer Bot Routing information

See Pittsburgh, PA salary details

$71.8K

$142.9K

$206.3K

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

As of Aug 21, 2026, the average yearly pay for principal robotics engineer bot routing in Pittsburgh, PA is $142,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $168,000.00 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.

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Principal Robotics Engineer Bot Routing jobs near you

Principal Machine Learning Scientist

Gather AI

Pittsburgh, PA • On-site

Full-time

Re-posted 21 days ago

Job description

About Us

Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer. As a Principal-level IC, you'll have real input into technical direction — not just executing on decisions, but helping make them.

About the Role

We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle — from research and model architecture through training, deployment, and production monitoring — with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.

This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.

What You'll Do

  • Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
  • Own the full ML lifecycle from research and experiment design through production deployment and monitoring — applying rigorous ablation studies and SOTA methodology
  • Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
  • Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
  • Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
  • Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets

What You'll Need

  • 10+ years of experience in machine learning or computer vision
  • Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
  • Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
  • Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

Nice to Have

  • Experience with drone, robotics, or autonomous systems perception
  • Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
  • Experience designing and deploying models for real-time inference on constrained compute platforms
  • Warehouse, logistics, or supply chain domain experience