Slip Robotics

Robotic loading automation for trucks

Robotics Navigation and Control Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours

Full-timeAtlanta, GA, USA

About the Job

Requirements

Five or more 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, and lattice planners.
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, and visual odometry.
Demonstrated ability to bridge the sim-to-real gap by tuning algorithms for actual hardware, not only simulation.
Ability to analyze system behavior from logs and telemetry data.
Ability to work effectively in a small team and communicate effectively.
Reliable high-speed internet access and a dedicated workspace for remote work.
Ability to travel periodically to the Atlanta facility for hardware integration, testing, and tuning on physical robots.

Responsibilities

Design, implement, and optimize path planning and trajectory generation for autonomous mobile robots in constrained logistics environments.
Develop and tune motion controllers, including PID, MPC, or similar approaches, for heavy-payload platforms with real-world dynamics.
Implement obstacle avoidance and safety behaviors that work reliably around people and infrastructure.
Own the localization stack and work with perception engineers to integrate sensor-based position estimates into the control loop.
Build simulation models and validate them against real robot behavior to support faster 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.

Desired Qualifications

A master’s degree or higher in Robotics, Controls, Mechanical Engineering, or a related field.
Experience with model predictive control (MPC) or adaptive control approaches.
Experience with AWS IoT, Greengrass, or edge computing for fleet-scale robot management.
Familiarity with Gazebo, Isaac Sim, or other robotics simulation environments.
Background in logistics, warehousing, or heavy-payload robotics.

Robotics Navigation and Control Engineer

Slip Robotics · Atlanta, United States (Remote) · Full-time · Posted 2026-03-19

Workplace: remote

Department: Engineering

Description

About Slip Robotics

Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.

The Role

We are looking for a Robotics Navigation and Control Engineer to own the motion planning, path planning, and control systems on our autonomous mobile robots. Our robots navigate constrained spaces—inside trailers, across loading docks, and through active warehouse floors—carrying heavy loads with tight tolerances. This role is responsible for making that movement safe, precise, and reliable.

We need someone who has shipped navigation and controls software on real robots at real customer sites. You should have hands-on experience tuning controllers on physical hardware, dealing with wheel slip, load dynamics, and the gap between simulation and reality. Academic publications are great, but production deployment experience is what matters here.

Key Responsibilities

Design, implement, and optimize path planning and trajectory generation for autonomous mobile robots operating in constrained logistics environments
Develop and tune motion controllers (PID, MPC, or similar) for heavy-payload platforms with real-world dynamics
Implement obstacle avoidance and safety behaviors that work reliably around people and infrastructure
Own the localization stack, working with perception engineers to integrate sensor-based position estimates into the control loop
Build simulation models and validate them against real robot behavior for faster 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

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 (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 (EKF, particle filters, scan matching, visual odometry)
Demonstrated ability to bridge the sim-to-real gap—tuning algorithms that work on actual hardware, not just in simulation
Comfort analyzing system behavior from logs and telemetry data
Strong communication skills and ability to work effectively in a small team

Nice to Have

Master’s degree or higher in Robotics, Controls, Mechanical Engineering, or a related field
Experience with model predictive control (MPC) or adaptive control approaches
Experience with AWS IoT, Greengrass, or edge computing for fleet-scale robot management
Familiarity with Gazebo, Isaac Sim, or other robotics simulation environments
Background in logistics, warehousing, or heavy-payload robotics

Remote Work Requirements

This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration, testing, and tuning on physical robots. A company laptop and necessary peripherals will be provided.

Benefits

What We Offer

Competitive salary and equity in an early-stage robotics company
Comprehensive benefits including health, dental, and vision
Permissive time off policy
A small team where your work has direct, visible impact on shipped products
The chance to work on robots that are operating in production today—not a research project

Apply

Apply at Slip Robotics

About the Company

Slip Robotics

Robotic loading automation for trucks

Slip Robotics provides the SlipBot, an Automated Loading Robot offered as a Robots-as-a-Service for loading docks. The system loads or unloads a full trailer in about five minutes by staging freight at the dock and moving it as a single unit, with control software (SlipController and SlipView) and attachments for non-uniform items, all without facility changes or IT setup. They differentiate themselves with rapid deployment, trailer-agnostic hardware, a data-driven management layer, and a safety advantage by removing forklift operators from trailer interiors under a subscription model. Their goal is to cut dock loading time and truck dwell, boost throughput, and scale deployments while delivering actionable operational data.

Company size: 51-200
Company stage: Series B
Total funding: $44M
Headquarters: Norcross, GA
Founded: 2020

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