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Robotics Navigation and Control Engineer

7 hours, 4 minutes ago
United States
Full-time
Senior
Robotics Engineer
Artificial Intelligence and Machine Learning
C++ CI/CD Python
Apply Now
Slip Robotics

Slip Robotics

Slip Robotics specializes in automating the loading and unloading of trucks using advanced robotics, significantly enhancing speed, safety, and efficiency in the supply chain process.

Automotive
11-50
View All Jobs 4

Description

  • Design, implement, and optimize path planning and trajectory generation for autonomous mobile robots in constrained logistics environments.
  • Develop and tune motion controllers for heavy-payload platforms with real-world dynamics.
  • Implement obstacle avoidance and safety behaviors that operate reliably around people and infrastructure.
  • Own the localization stack and integrate sensor-based position estimates into the control loop with perception engineers.
  • Build simulation models and validate them against real robot behavior to speed up development iteration.
  • Analyze and improve robot performance using field data, telemetry, and logs from deployed systems.
  • Collaborate with perception, hardware, and cloud infrastructure teams to deliver integrated autonomy features.
  • Contribute to CI/CD pipelines for controls software testing and deployment to the robot fleet.
  • Travel periodically to the Atlanta facility for hardware integration, testing, and tuning on physical robots.

Requirements

  • 5+ years of professional experience developing navigation and control systems for physical robots at a robotics or autonomous vehicle company.
  • Strong proficiency in C++ and Python.
  • Deep understanding of motion planning algorithms such as A*, D*, RRT variants, lattice planners, or similar.
  • Hands-on experience designing and tuning controllers for mobile robot platforms.
  • Production experience with ROS or ROS 2 navigation stacks.
  • Experience with localization techniques such as EKF, particle filters, scan matching, or visual odometry.
  • Demonstrated ability to bridge the sim-to-real gap by tuning algorithms that work on actual hardware.
  • Comfort analyzing system behavior from logs and telemetry data.
  • Strong communication skills and ability to work effectively in a small team.
  • Master’s degree or higher in Robotics, Controls, Mechanical Engineering, or a related field preferred.
  • Experience with model predictive control (MPC) or adaptive control approaches preferred.
  • Experience with AWS IoT, Greengrass, or edge computing for fleet-scale robot management preferred.
  • Familiarity with Gazebo, Isaac Sim, or other robotics simulation environments preferred.
  • Background in logistics, warehousing, or heavy-payload robotics preferred.
  • Remote role requires reliable high-speed internet access and a dedicated workspace.
  • Periodic travel to the Atlanta facility is required.
  • Company laptop and necessary peripherals will be provided.

Benefits

  • Competitive salary and equity in an early-stage robotics company.
  • Comprehensive health, dental, and vision benefits.
  • Permissive time off policy.
  • Small team environment with direct, visible impact on shipped products.
  • Opportunity to work on robots that are operating in production today, not a research project.
  • Remote work option with company-provided laptop and peripherals.

Interested in this position?

Apply directly on the company website

Apply Now

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