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Senior Robotics Engineer

InfoVision, Inc.

Remote or Toronto, Ontario • Today

Easy Apply

Third Party, Contract

Depends on Experience

Sr. Flight Software Verification Engineer

Reliable Robotics

Remote or Mountain View, California • Today

Full-time

USD 185,000.00 - 230,000.00 per year

Senior Software Engineer - Vehicle Motion Planning & Control

Zendar

Remote or Berkeley, California • Today

Full-time

USD 160,000.00 - 200,000.00 per year

Senior, Machine Learning Engineer - 3D Perception

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior Software Engineer - Autonomy Platform

Zendar

Remote or Berkeley, California • Today

Full-time

USD 160,000.00 - 200,000.00 per year

Senior Machine Learning Engineer - Localization

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior Software Engineer, Autonomy Evaluation

General Motors

Remote • Today

Full-time

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

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 160,800.00 - 193,000.00 per year

Senior Software Engineer, Distributed Simulation (C++)

Anduril Industries

Remote or Seattle, Washington • Today

Full-time

USD 191,000.00 - 253,000.00 per year

Senior Software Engineer, Rendering Infrastructure (AV Simulation)

General Motors

Remote or Sunnyvale, California • Today

Full-time

USD 153,200.00 - 234,100.00 per year

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

Latitude

Remote or Pittsburgh, Pennsylvania • Today

Full-time

USD 160,000.00 - 240,000.00 per year

Senior Software Engineer

Digital Realty

Remote or Dallas, Texas • Today

Full-time

USD 150,000.00 - 170,000.00 per year

Lead Machine Learning Engineer - Localization

May Mobility

Remote • Today

Full-time

USD 235,000.00 - 285,000.00 per year

Lead ML/Perception Engineer

May Mobility

Remote • Today

Full-time

USD 235,000.00 - 275,000.00 per year

Senior Engineer

Motional

Remote or Boston, Massachusetts • Today

Full-time

USD 190,000.00 - 244,800.00 per year

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

Latitude

Remote or Palo Alto, California • Today

Full-time

USD 179,200.00 - 268,800.00 per year

Engineer/Senior Engineer - Perception Capabilities

Motional

Remote or Boston, Massachusetts • Today

Full-time

USD 136,500.00 - 225,000.00 per year

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 1 day ago

Fitment

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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
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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
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Buildroot
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Jetson Orin NX
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Groot
BehaviorTree.CPP
C++
Python
Docker
K3s
Kubernetes at the Edge
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CMake
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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

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.

Dice Id: infotx
Position Id: 9095149
Posted 1 day ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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