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Senior Robotics Engineer

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Easy Apply

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Depends on Experience

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Staff Software Engineer (C++) - Radar Sensors

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Senior, Machine Learning Engineer - 3D Perception

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Senior Software Engineer - Autonomy Platform

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Senior Machine Learning Engineer - Localization

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Lead Machine Learning Engineer - Localization

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Lead ML/Perception Engineer

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Staff, Software Engineer - Simulation Vehicle Modeling

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Senior Software Engineer, Autonomy Evaluation

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Senior Software Engineer: Fleet Enablement & Insights (Map Validation & Annotation Platform)

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Software Engineer, Distributed Simulation

Anduril Industries

Remote or Seattle, Washington • 3d ago

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Senior Software Engineer, Distributed Simulation (C++)

Anduril Industries

Remote or Seattle, Washington • 3d ago

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Senior Software Engineer, Rendering Infrastructure (AV Simulation)

General Motors

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Senior Embedded Software Engineer (C++) - Hardware Safety

Latitude

Remote or Pittsburgh, Pennsylvania • Today

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USD 160,000.00 - 240,000.00 per year

Guidance Navigation and Controls (GNC) Engineer III - Contract

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Perception Engineer III - Contract

Autonomous Solutions/A S I

Mendon, Utah • Today

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Perception Engineer IV

Autonomous Solutions/A S I

Mendon, Utah • Today

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Chief Engineer - Robotics

Autonomous Solutions/A S I

Mendon, Utah • Today

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Senior Engineer

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Remote or Boston, Massachusetts • Today

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Journeyman Software Developer

SimVentions, Inc

Remote or Dahlgren, Virginia • 19d ago

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Senior / Staff Software Engineer- Unified Modeling (Machine Learning - Perception)

Latitude

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Embedded Software Engineer - III - Contract

Autonomous Solutions/A S I

Mendon, Utah • Today

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Job Details

Skills

Robotics
OPC
ROS
Embedded Linux
SIM
NVIDIA Jetson
ROS 2
DDS
eProsima Fast DDS
Cyclone DDS
RTI Connext
MAVLink
PX4
ArduPilot
OPC UA
VDA 5050
Fleet Management
AGV
AMR
Yocto Project
Buildroot
Ubuntu Core
Jetson AGX Orin
Jetson Orin NX
Industrial Gateways
Edge Computing
Hardware-in-the-Loop
HIL
NVIDIA Isaac Sim
Isaac Lab
Omniverse
Groot
BehaviorTree.CPP
C++
Python
Docker
K3s
Kubernetes at the Edge
CI/CD
CMake
Cross-Compilation
RT-PREEMPT
Real-time Systems
PLC Integration
SCADA
Gazebo Sim
Sim-to-Real

Robotics
OPC
ROS
Embedded Linux
SIM
NVIDIA Jetson
ROS 2
DDS
eProsima Fast DDS
Cyclone DDS
RTI Connext
MAVLink
PX4
ArduPilot
OPC UA
VDA 5050
Fleet Management
AGV
AMR
Yocto Project
Buildroot
Ubuntu Core
Jetson AGX Orin
Jetson Orin NX
Industrial Gateways
Edge Computing
Hardware-in-the-Loop
HIL
NVIDIA Isaac Sim
Isaac Lab
Omniverse
Groot
BehaviorTree.CPP
C++
Python
Docker
K3s
Kubernetes at the Edge
CI/CD
CMake
Cross-Compilation
RT-PREEMPT
Real-time Systems
PLC Integration
SCADA
Gazebo Sim
Sim-to-Real

Summary

Senior/Lead Robotics and Edge Integration Engineer

Location: Toronto, Ontario , Canada - Remote
Long term Contract
Department: Robotics & Edge AI Engineering

Job Purpose

As a Senior/Lead Robotics and Edge Integration Engineer , you will lead the architecture, development, and deployment of intelligent edge-computing systems and robotic platforms. You will bridge the gap between autonomous physical systems, industrial automation protocols, and 5G-enabled edge infrastructure. This role focuses on building resilient middleware ecosystems, optimizing embedded edge compute modules, and validating complex robotics workflows in high-fidelity simulations before deploying them to real-world industrial environments.

Key Responsibilities

Middleware & Communication Engineering: Design, optimize, and maintain low-latency communication fabrics utilizing ROS 2, DDS (Data Distribution Service), and MAVLink for dependable multi-agent and embedded robotic systems.
Industrial Protocol Integration: Implement and standardize machine-to-machine interfaces such as OPC UA and fleet management protocols like VDA 5050 to ensure seamless interoperability between autonomous mobile robots (AMRs) and automated factory systems.
Embedded Edge Systems & Hardware Acceleration: Architect and optimize software stacks on embedded Linux environments and edge hardware platforms, specifically NVIDIA Jetson systems, leveraging hardware-accelerated processing for real-time applications.
Simulation-Driven Development: Build, configure, and maintain advanced digital twins and robotic simulations using NVIDIA Isaac Sim and Isaac Lab to test autonomy algorithms, edge workloads, and fleet coordination protocols safely in virtual environments.
Behavior Optimization & Controls: Design, implement, and debug complex robotic behaviors and state machines utilizing tools like Groot and BehaviorTree.CPP.
Technical Leadership & Collaboration: Lead and mentor junior/mid-level robotics engineers, collaborate with cloud-native infrastructure teams to deploy edge gateways, and champion rigorous software engineering best practices within the robotics domain.

Required Qualifications

Experience: 6+ years of experience in software development for autonomous systems, robotics, or edge computing, with a proven track record of shipping production-grade embedded or physical robotic software.
Robotics Middleware: Deep expertise in ROS 2 (Robot Operating System) architecture, node lifecycle management, lifecycle nodes, custom messages, and DDS tuning (e.g., Fast DDS, Cyclone DDS).
Industrial Automation & Fleets: Demonstrated hands-on experience integrating systems with industrial protocols like OPC UA or deploying VDA 5050 standards for AGV/AMR fleet coordination.
Embedded Linux & Edge Compute: Extensive experience configuring and optimizing custom embedded Linux builds and implementing software pipelines on edge compute hardware, with deep technical knowledge of the NVIDIA Jetson platform ecosystem (JetPack, DeepStream, TensorRT).
Simulation Platforms: Proficient in building physical simulations, sensor models, and synthetic data generation environments within NVIDIA Isaac Sim or Isaac Lab.
Behavior Orchestration: Familiarity with designing and debugging hierarchical state machines and behavior trees, specifically using Groot.
Core Software Skills: Strong proficiency in modern C++ (14/17/20) and Python, alongside structured debugging skills for real-time embedded environments.

Preferred Qualifications

Experience designing and utilizing MAVLink-based communication systems for unmanned aerial vehicles (UAVs) or autonomous systems.
Background in telecommunications or networking, particularly deploying robotics and edge workloads over private 5G or localized LTE networks.
Academic degree (BS, MS, or PhD) in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related quantitative field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: infotx
Position Id: 9095149
Posted 5 days ago

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