Top Tech Jobs & Startup Jobs in Toronto

The Onboard Infrastructure Engineer will develop and maintain onboard infrastructure for autonomous vehicles, focusing on software reliability, system integration, and performance optimization.

Develop, train, and optimize deep learning models for autonomous trucks (detection, tracking, mapping, end-to-end planning). Execute full ML lifecycle from data curation to deployment, collaborate with simulation/infrastructure/planning teams, and evaluate SOTA computer vision and generative AI methods to address real-world corner cases.

Build high-performance, scalable simulation infrastructure and tooling for autonomous vehicle development. Design systems for scenario generation, simulation execution, synthetic data, and reinforcement-learning workflows. Collaborate with ML, perception, and controls teams to improve realism, performance, and validation pipelines while writing production-quality C++ and Python code, contributing to architecture, testing, and documentation.

Design and build core operation platforms (scheduler, dispatcher, vehicle console, TMS) for autonomous trucking. Create durable object models, state machines, event-driven services, real-time operator tooling, APIs, and integrations. Ensure safety-critical workflows are observable and resilient while partnering with autonomy, operations, and product teams and driving engineering excellence.

Design, build, and ship backend services and frontend tools for fleet scheduling, dispatch, monitoring, maintenance, and operator workflows. Implement core features, build and consume APIs, work with databases and event-driven integrations, develop role-based operator tools, debug and improve production reliability, and collaborate with product and operations teams.

The Senior Software Engineer will design and maintain CI/CD pipelines, manage software deployments for autonomous vehicles, and optimize workflows for development and testing.

The Senior Software Engineer, Workflow Platforms will architect, build, and operate orchestration platforms for machine learning, data pipelines, and CI/CD at Bot Auto, ensuring reliability and efficiency.

The Algorithm Engineer will maintain and improve core autonomy code, build validation pipelines, and collaborate with teams for efficient issue resolution in autonomous truck systems.

Design and implement algorithms for motion planning and behavior in autonomous trucks, focusing on prediction, mapping, and validation processes.

Design and build full-stack features for Autonomous Traffic Control, develop responsive web interfaces, and integrate backend services with real-time data for autonomous vehicles.