Deepinder Goyal: Temple hiring engineers with strict fitness rules; check if you fit the bill

Goyal is now done testing Temple smart wearable and wants to scale his team at Temple to make a commercial model for all users.

Last month, Indian billionaire Deepinder Goyal, founder and former CEO of the food delivery giant Zomato (under the Eternal parent company), offered a sneak peek at his wearable gadget 'Temple' on his head during an interview with Raj Shamani on YouTube.

He has been testing this device himself for close to a year. Temple is an experimental wearable that monitors brain blood flow.

Well, Goyal is now done testing it and wants to scale his team at Temple to make a commercial model for all users.

It is touted to be the ultimate wearable for elite performance athletes. The device can precisely track health metrics that no other wearable in the world measures, with a level of precision that doesn't exist yet.

Goyal has announced plans to hire experts in multiple domains. And, there's is a catch. All interested candidates must be extreme fitness buffs, meaning they should not have a pot belly. To be more specific, engineers should have body fat of less than 16 per cent (of body weight) for men and 26 per cent for women.

And those who don't meet the fitness criteria will be offered three months to get in shape.

At Temple, we are building the ultimate wearable for elite performance athletes. A device that measures what no other wearable in the world measures, with a level of precision that doesn't exist yet. To build it, we need people who are obsessive about both the craft and the category. Engineers who are also athletes. People who will wear what they build, and hate it until it's perfect.

Deepinder Goyal, founder of Eternal Ltd (parent company of Zomato, Temple and LAT Aerospace)

Here is the full list of roles available at Temple:

-- Analog Systems Engineers, Electronics Design Engineers

-- Embedded Systems Engineers — low-level HW bring-up, embedded signal and image processing, embedded AI

-- Design and Validation Engineers — sensors, actuators, battery, antenna, optics

-- CMF Engineers, Adhesive Materials Engineers

-- Sensor Algorithms Engineers — estimation theory, sensor fusion

-- Deep Learning Engineers — ML model development for physiological metrics

-- Computational Neuroscientists

-- BCI Engineers — real-time EEG/EMG acquisition and processing

-- Neural Decoding Researchers — brain activity to semantic mapping

-- Computer Vision Engineers — facial microexpression, subvocal muscle detection

-- Neuroimaging ML Engineers — multimodal sensor fusion

-- Last but not least, product managers who work through Figma without needing a designer to hold their hand

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