Design and implement multi-agent pathfinding algorithms to avoid fleet deadlocks, build low-latency Robot-to-Cloud and Robot-to-Robot communication protocols, and develop cloud dashboards for fleet monitoring and teleoperation handoffs.
As a Robotics Software Engineer, you will be at the forefront of designing advanced algorithms and systems to optimize the efficiency of our robotic fleet. Your work will be critical in ensuring seamless communication and operation within cutting-edge automation technologies.
Responsibilities:
- Design multi-agent pathfinding (MAPF) algorithms to prevent fleet deadlocks.
- Build low-latency communication protocols for Robot-to-Cloud and Robot-to-Robot data exchange.
- Develop cloud dashboards for fleet monitoring and teleoperation handoffs.
Required Skills:
- Expertise in distributed systems and IoT protocols (MQTT, WebRTC, DDS).
- Experience with fleet management or warehouse automation software.
- Strong background in operations research and graph algorithms.
Similar Jobs
Agency • Artificial Intelligence • Blockchain • Web3
Design and implement advanced control algorithms for bipedal locomotion and manipulation, train RL policies in simulation, deploy on hardware, and perform sim-to-real transfer and gait/kinematics analysis.
Top Skills:
Model Predictive Control (Mpc)MujocoNvidia Isaac SimReinforcement LearningWhole-Body Control
Cloud • Security • Software • Cybersecurity • Automation
Lead product direction for tenant scale and unified deployment across GitLab.com, Dedicated, and Self-Managed. Define requirements for tenant portability, scalability, isolation, and regional compliance. Partner with engineering, product peers, and customers to translate infrastructure constraints into product strategy, prioritize tradeoffs, and align distributed teams to deliver a unified deployment platform.
Top Skills:
AutoscalingCloud ServicesGitlabHorizontal ScalabilityMultitenancySaaS
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and maintain backend services for fraud and risk detection at scale. Deliver features end-to-end, partner with Data Science/ML, improve reliability and observability, respond to incidents, and build reusable systems to reduce financial loss and protect users.
Top Skills:
AWSBitcoinDockerDynamoDBEthereumGCPGeminiGleanGoJavaKafkaKubernetesLibrechatMongoDBPostgresPythonRabbitMQRuby
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal


.png)