Top Tech Jobs & Startup Jobs

Own the technical infrastructure supporting a large-scale camera and sensor data ingest pipeline. Build and maintain ingest stations, tooling, hardware fleets, quality controls, media lifecycle standards, inventory processes, and reporting. Troubleshoot failures, ensure data integrity and chain of custody, automate workflows with Python and shell scripts, train operators, document procedures, and support field deployments.

Own field deployments from equipment collection through data verification and upload. Manage five to six operators, coordinate with site contacts, maintain camera and inventory readiness, enforce data-quality and taxonomy protocols, reconcile equipment, and submit deployment reports. The role requires on-site work, independent problem-solving, long hours, a six-day schedule, and substantial travel from Delhi NCR to national deployment sites.

Owns end-to-end, high-volume recruiting and core people operations. Responsibilities include building sourcing pipelines, screening and closing candidates, managing recruiting metrics and forecasts, coordinating offers, onboarding, payroll, employee records, leave policies, and attendance. The role partners directly with founders, designs fast recruiting processes, and builds the systems and eventual team needed to scale hiring rapidly across operational, sales, annotation, logistics, and management roles.

Lead end-to-end robotics data annotation operations by recruiting and managing annotators, allocating workforce across projects, tracking quality and throughput metrics, building dashboards and scalable processes, forecasting staffing needs, designing incentives, and resolving operational issues. The role manages team leads and works closely with the founder and engineering team in a fast-paced, on-site Bangalore startup environment.

As a Founding Operations Manager, you'll oversee field operations globally, manage deployment partnerships, lead field teams, and ensure reliable data collection under real-world conditions.

As a Firmware Engineer, you will develop and manage the embedded software for wearable capture hardware, focusing on sensor integration, real-time data processing, and connectivity. Your responsibilities will involve firmware architecture, system state management, and collaborating with electrical engineers to ensure hardware and software compatibility.

Lead hardware engineering for multimodal wearable systems. Manage integration across power systems and sensors, debug failures, and prototype wearable hardware used in global operations.

Lead operations for hardware supply chain in Shenzhen, managing ODM relationships, component sourcing, factory operations, and compliance for product development.

The Research Engineer will focus on multimodal sensing systems and sensor fusion for embodied AI and robotics, evaluating sensor modalities and collaborating with hardware and ML teams to enhance robotic learning and performance.

As a Machine Learning Engineer, you will manage multimodal perception, work on data collection, and evaluate robotics tasks, directly impacting model capabilities and the evolution of physical labor.