Top Tech Jobs & Startup Jobs in Toronto

Provides first-line IT and security operations support, including Windows and Mac device setup, troubleshooting, onboarding and offboarding, access management, endpoint patching, vulnerability review, security alert monitoring, documentation, and escalation. Works under the guidance of a Security/IT Lead while learning tools such as Google Workspace, Authentik, Linux, Ansible, and Elastic.

Own the readiness and reliability of deployed data-capture devices. Diagnose hardware and software issues across cameras, peripherals, Linux systems, storage, networking, and data transfers; prepare and validate devices for deployment; support operators; reproduce defects; create diagnostic scripts and procedures; track recurring failures; and verify repairs, updates, and corrective actions across the device fleet.

Develops proprietary foundation models for 3D human pose estimation, body mesh recovery, articulated tracking, and human-scene interaction. Responsibilities include designing novel architectures and biomechanical losses, scaling distributed training across multi-GPU clusters, curating massive multimodal datasets, modeling occlusion and complex motion, and integrating physics-aware tracking with robotics control and locomotion systems.

Build end-to-end internal products and tooling for robotics dataset delivery, including review and QA interfaces, dashboards, data viewers, export and validation logic, pipelines, APIs, and data infrastructure. Convert manual workflows into reliable tools, take ambiguous problems from concept to shipped v1, and iterate with users. The role spans front-end, backend, data systems, and product development, supporting petabyte-scale video and sensor datasets used by AI labs and robotics companies.

Build performant web viewers/players and SDKs for egocentric robotics data. Design multi-stream playback, timeline scrubbing, sync, and APIs; own interface contracts across hardware, data, and consumers; provide tooling and reference implementations for internal and external developers.

Lead end-to-end product development for robotics data infrastructure: turn ambiguous problems into shipped full‑stack products, focus on UX and reliability, define success metrics and instrumentation, and iterate to scale production systems.

Own the end-to-end development and production ramp of tactile gloves, from product requirements and industrial/mechanical design through EVT, DVT, PVT, and volume manufacturing. Lead sensing, firmware, calibration, reliability, supplier, contract manufacturer, production test, quality, cost, and schedule efforts. Coordinate prototype iterations and pilot deployments while ensuring the gloves are comfortable, durable, manufacturable, and produce reliable tactile data at scale.

Own backend services, APIs, SDKs, and operational tools for connected hardware and data-intensive workflows. Design reliable data models and asynchronous systems that handle retries, duplicate events, interrupted transfers, and device disconnections. Build telemetry and diagnostics, maintain production reliability and data integrity, test workflows end to end, and support authentication, versioning, documentation, monitoring, and backward compatibility.

Designs mechanical systems and assemblies for robotics data-capture hardware, taking components from CAD through prototyping, testing, supplier feedback, and field validation. Responsibilities include tolerance and load analysis, sensor alignment, electronics packaging, thermal management, cable routing, serviceability, manufacturing optimization, and reliability improvement. Requires hands-on prototype development, physical testing, engineering drawings, supplier collaboration, and knowledge of materials, fasteners, dimensional inspection, and manufacturing processes.

Designs and automates hardware and software tests to validate recording quality, performance, recovery, and release readiness. Tests long-running sessions and fault conditions, analyzes recorded data for timing errors and corruption, reproduces intermittent failures, isolates root causes, and creates regression tests. Builds physical test fixtures and defines qualification checks across hardware and software configurations.