Top Tech Jobs & Startup Jobs in NYC, NY

Lead end-to-end hardware and manufacturing data acquisition programs: scope customer needs, recruit and manage hardware experts, design collection workflows, ensure quality through metrics and review loops, coordinate cross-functional execution, and scale pilots into repeatable playbooks for robotics and manufacturing datasets.

Design and operate backend systems that ingest, process, store, and serve petabyte-scale video and sensor data. Build high-throughput upload/ingest, processing, indexing, retrieval, and access-control services. Own service quality, latency, uptime, capacity planning, cost, observability, and incident response. Coordinate distributed compute across cloud infrastructure and large GPU fleets to make data movement reliable and performant.

Lead and scale Mecka's global operating system: design company-wide operating model, own end-to-end delivery across data and robotics programs, hire and develop ops leaders, build operational intelligence (KPIs, dashboards), manage risk/compliance, and partner with executive teams to translate strategy into reliable, measurable operational outcomes.

Own end-to-end delivery of customer datasets: gather requirements, build and harden ingestion/transformation/QA/export pipelines, define dataset contracts and quality metrics, query and slice large corpora for model fit, and drive tooling improvements. Serve as technical customer contact and translate ambiguous needs into reproducible, versioned datasets suitable for robotics/embodied-AI training.

Provide on-site technical ownership for robot deployments: setup, calibration, troubleshooting hardware/software/networking, lead high-quality data capture, support teleoperation workflows, coordinate with remote teams, document issues and improve field processes.

Own technical solutioning and on-site execution of robotic deployments: scope environments with sales, design end-to-end deployment plans, lead installs and troubleshooting, train operators, document playbooks, and drive continuous improvements with partners and engineering.

Own high-priority projects end-to-end across data labeling, data capture, and customer deployments. Scope requirements, drive cross-functional execution with engineering and operations, monitor throughput and SLAs, identify bottlenecks, and manage stakeholder communication to ensure on-time, high-quality, and scalable delivery.

Own end-to-end scientific data acquisition programs for AI-lab customers: scope projects, recruit and manage experts, design protocols, define quality and metrics, run pilots to production, and coordinate cross-functional teams to deliver model-useful datasets.

Design, implement, and train state-of-the-art 3D reconstruction and egocentric optical flow models from scratch. Scale multi-view architectures across multi-GPU clusters, innovate losses/architectures, prototype perception solutions, integrate neural rendering (NeRF, Gaussian Splatting), and produce motion-aware outputs for downstream robotics.