Dark Store & Inventory Operations Lead
About the role
Human Archive deploys cameras and other hardware for large-scale egocentric data collection.
We are setting up an internal mini dark store that will manage cameras, power banks, charging stations, cables, storage devices, and other equipment used by our field teams.
We are looking for someone to design the operating system for this facility and manage its day-to-day operations.
Location: Gurgaon
What you will do
Set up and manage our hardware dark store
Create systems for inventory tracking, storage, dispatch, and returns
Issue cameras and equipment to field teams every morning
Collect and reconcile all equipment at the end of the day
Track which person has each device or accessory
Ensure cameras, power banks, and other equipment are charged and ready
Identify missing, damaged, or faulty equipment
Maintain accurate daily inventory records
Manage repairs, replacements, and procurement requirements
Design processes that can scale as our operations grow
Hire and manage additional store or inventory staff as required
Who we are looking for
Experience managing a dark store, warehouse, fulfilment centre, or inventory operation
Strong operational discipline and attention to detail
Comfortable working with physical hardware and high-volume daily dispatches
Able to build simple, reliable systems from scratch
Comfortable managing frontline teams and day-to-day operations
Ownership mindset and willingness to work hands-on
Experience at companies such as Blinkit, Zepto, Instamart, Swiggy, Amazon, Flipkart, Delhivery, or similar operations-driven businesses is a strong advantage.
About Human Archive
Human Archive is a research lab focused on modeling human embodied intelligence.
Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.
Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.
The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.
We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.