Design and implement Visual-Inertial SLAM pipelines, dynamic obstacle avoidance, and predictive path planning. Optimize state-estimation and navigation algorithms for low-compute edge deployment on robotic platforms.
We are seeking a skilled SLAM Architect to drive the development of advanced autonomous navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM, dynamic obstacle avoidance, and path planning to enhance our robotic platforms.
Responsibilities:
- Develop robust Visual-Inertial SLAM (Simultaneous Localization and Mapping) pipelines.
- Implement dynamic obstacle avoidance and predictive path planning.
- Optimize algorithms for low-compute edge deployment on the robot.
Qualifications:
- Advanced knowledge of state estimation, Kalman filters, and factor graphs.
- Experience with ROS2/Nav2 and point cloud processing (PCL).
- Proven track record of deploying autonomous navigation in real-world settings.
Similar Jobs
Fintech • Financial Services
Support implementation, testing, and optimization of a third-party decision engine. Execute QA, backtesting, and data validation, document requirements and processes, collaborate with Pricing, Risk, and Engineering, and ensure decisioning workflows integrate reliably with core applications.
Top Skills:
ExcelFico BlazeGds LinkLendflowProvenirPythonSQLTaktile
Fintech • Financial Services
Support implementation, testing, and backtesting of a third-party decision engine. Validate data flows, execute QA/A-B tests, document requirements and processes, and collaborate with Pricing, Risk, and Engineering to optimize decisioning and offer drafting workflows.
Top Skills:
ExcelFico BlazeGds LinkLendflowProvenirPythonSQLTaktile
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build and scale distributed backend services for growth infrastructure (notifications, referrals, targeting, lifecycle communications, ML ranking). Design resilient service-oriented systems on cloud, ship well-tested production code, run growth experiments/A-B tests, improve developer tooling and shared platform capabilities, and collaborate cross-functionally to deliver measurable acquisition and retention impact.
Top Skills:
AWSDockerDynamoDBGenerative AiKubernetesMongoDBPostgres
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
