Top Tech Jobs & Startup Jobs in Toronto

Develop and debug embedded Linux firmware for camera and sensor recording systems. Responsibilities include board bring-up, reliable data paths, performance and power optimization, recovery from interruptions, field-failure reproduction, and validation across hardware configurations. The role requires strong C or C++ skills, Python or shell scripting, Linux systems knowledge, embedded ARM experience, concurrency and resource profiling expertise, and experience creating reproducible releases and realistic hardware tests.

Leads end-to-end development of hardware systems for robotics and embodied AI, from product definition and architecture through prototyping, validation, manufacturing, and deployment. The role requires hands-on expertise across hardware disciplines, system integration, experimentation, debugging, supplier coordination, and technical leadership.

Designs and validates electronics for robotics data-capture hardware, including schematics, PCB layouts, sensor interfaces, board bring-up, bench debugging, and system validation. Collaborates with firmware, mechanical engineering, and suppliers to improve prototypes, production designs, component qualification, and field performance. Documents measurements and design changes while addressing signal quality, timing, power consumption, and hardware-firmware integration.

Build native Android applications that connect capture hardware, guide data recording, display status, and support recovery from interruptions. Optimize video performance, memory, battery usage, responsiveness, and connectivity across Android devices. Develop diagnostics and automated workflow tests while collaborating with firmware engineers to reproduce and resolve hardware, transfer, and device-interface issues.

Build and integrate robotic hardware and software for repeatable experiments, data collection, demonstrations, and learned-policy deployment. Develop calibration and diagnostic tools for coordinate frames, timing, and sensor quality. Create recording, teleoperation, and evaluation workflows while debugging failures across software, electronics, sensors, and mechanics. Improve system reliability through software enhancements and recovery procedures.

Develop and integrate physical sensors for robotics data capture. Responsibilities include designing experiments, building test fixtures, characterizing sensor performance, developing calibration and signal-processing methods, integrating electronics and recording systems, validating packaged sensors, and documenting reproducible hardware methods. The role requires expertise with tactile, force, pressure, or comparable sensors, laboratory instrumentation, data acquisition, measurement uncertainty, and Python-based analysis.

Train and evaluate computer vision models for embedded deployment, build efficient C++ inference pipelines, and optimize latency, memory, power, and sustained performance. Integrate models with embedded Linux, test on representative hardware and data, and investigate errors across preprocessing, inference, and system integration. Lead candidates will set architecture and evaluation standards while guiding model and software development.

Develop manufacturing processes, production-readiness and capacity plans for electronic capture hardware. Build and qualify fixtures, calibration equipment, and production tests; analyze yield, cycle-time, and failure data; improve designs for manufacturing; establish repair and rework processes; and guide suppliers through qualification, technical reviews, quality improvements, and production changes.

Own the Greater Toronto Area sales pipeline for autonomous service robots, from prospecting and site qualification through pilots, negotiation, and closing rental or purchase deals. Build channel partnerships, conduct on-site demos, develop ROI cases, coordinate deployment and service partners, and provide customer feedback on products, pricing, and target markets. The role requires field sales, territory building, multi-stakeholder negotiations, and regular site visits.

Build and maintain production web applications supporting data labeling, data capture, and global operations. Develop React and TypeScript frontends, Node.js or Python backend services, APIs, workflows, permissions, and data integrations. Own features end to end from design through deployment, monitor production systems, troubleshoot issues, and integrate AI capabilities into internal tools. Collaborate with operators, data teams, stakeholders, and senior engineers to deliver maintainable, reliable software.