Jobs at Mecka AI

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.

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.