Jobs at Mecka AI

Build and operate teleoperation software for robotic arms, integrating vendor SDKs, grippers, operator input devices, controllers, sensors, and safety systems. Develop kinematics and Cartesian/joint control, manage latency and network degradation, synchronize multimodal sensor data, and prototype shared-autonomy features. Collaborate on data recording and latency budgets, while traveling to robot sites as needed for hardware bring-up and debugging.

Own top-of-funnel sales development across data partnerships and robotics deployments. Qualify inbound leads, conduct outbound cold calling and email outreach, research target accounts, run discovery calls, book qualified meetings, maintain accurate CRM records, and hand off opportunities. No prior SDR experience is required; training is provided. The role is hybrid and requires being based in Toronto.

Draft and negotiate commercial, data licensing, technology, vendor, partnership, and hardware agreements. Build legal templates, playbooks, and approval processes enabling commercial teams to close routine deals. Lead legal workstreams for international market entry, including entity formation, employment and contractor terms, tax exposure, licensing, filings, and hardware imports. Manage outside counsel and advise on data ownership, intellectual property, risk allocation, trade, customs, certification, warranties, and logistics.

Build and manage the deal desk, pricing frameworks, cost models, and commercial approval processes. Model deal margins, cash, risk, acquisitions, and unit economics; track signed-deal performance; and advise leadership on strategic finance, business cases, capital allocation, and investor metrics. Partner with sales, operations, legal, FP&A, and leadership to structure profitable agreements and establish scalable pricing processes.

Build and lead the studio project management office for complex robotics data-collection projects. Own projects from scoping through delivery, including plans, budgets, capacity, risks, and deadlines. Coordinate hardware, engineering, operations, and partner teams, remove blockers, establish portfolio reviews and escalation paths, and report status to studio leadership. Hire, coach, and manage project managers while translating ambiguous customer requirements into structured delivery plans.

Owns global direct and indirect tax compliance, ASC 740 income tax provision, transfer pricing, cross-border payments, market-entry tax analysis, transaction structuring, audits, advisors, and tax credits. Partners with accounting, legal, commercial, and operations teams across jurisdictions while building scalable tax processes for a high-growth AI company.

Own full-cycle technical recruiting for engineering, machine learning, computer vision, robotics, and research roles. Source specialized candidates, build talent pipelines, advise hiring managers, and develop relationships with technical communities. Create AI agents, automations, recruiting systems, and scalable workflows to improve sourcing and engagement. Manage high-volume hiring in a fast-moving startup environment while maintaining a high hiring bar and strong candidate experience.

Leads technical data-capture programs across hardware, software, operators, and field locations. Responsibilities include translating dataset requirements into capture plans, coordinating devices and training, validating pilots, investigating data-quality issues, forecasting capacity and delivery, and verifying corrective actions. The role requires analyzing throughput, quality, capacity, and cost while documenting procedures, technical decisions, dependencies, and realistic delivery forecasts.

Develop and productionize camera and camera-IMU calibration systems for robotics hardware. Build automated calibration stations, implement calibration algorithms, validate accuracy on real hardware, diagnose errors, improve production yield and cycle time, and detect or correct calibration drift in deployed devices.

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.

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.

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.

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 production online camera calibration, SLAM/VIO systems, and fleet-wide calibration drift monitoring for robotics devices. Develop video-based calibration refinement, maintain calibration databases and version history, coordinate with hardware teams on sensor parameters and synchronization, and build visualization tools for operations and research. The role requires extensive experience with SLAM, VIO, SfM, multi-sensor calibration, optimization, and scalable C++ and Python engineering. It is on-site with periodic travel to a hardware site.