Sniffspace is how we present breath samples to detection dogs, and it needs to go from hundreds of samples a day to thousands. You will build the systems that make that leap, and lead the hardware team that builds it.
Dognosis is a Bengaluru company training detection dogs alongside AI to identify cancer risk from a breath sample. Its hardware spans automated sample-presentation platforms, an 8-channel canine BCI (Dogsense), and sensor-rich rigs.
The system
Our hardware spans automated sample-presentation platforms, an 8-channel canine BCI (Dogsense), and sensor-rich rigs running on Raspberry Pi, ESP32, and custom PCBs. We prototype in-house with 3D printing, CNC, and laser cutting, manage 600+ vendor parts, and run linear actuators, servo systems, vacuum, and latch mechanisms under real reliability constraints.
What you will do
- Take Sniffspace from hundreds of samples a day to thousands, and from one platform to tens deployed worldwide.
- Design novel systems to capture, manage, and present breath samples to detection dogs with repeatable precision.
- Own reliability across tolerances, materials, and failure modes, so platforms hold up in the field.
- Lead the hardware team, setting technical direction and raising the engineering bar.
- Drive designs from prototype through manufacturing, vendor development, and deployment.
What success looks like (6 months)
- Sniffspace throughput has climbed toward thousands of samples a day on a hardened platform.
- A repeatable build and deployment process brings new platforms online in weeks, not months.
- The hardware team ships on a predictable cadence with you setting direction.
You are a good fit if
- You have built and scaled reliable robotic or industrial-grade systems from prototype to production.
- You have 5 to 7 years or more of hardware engineering, with some experience leading engineers.
- You think in tolerances, failure modes, and margins, and design for the field, not the bench.
- You move comfortably across mechanical, electronics, and firmware boundaries.
- You want to own a platform end to end rather than one subsystem.
Valuable but not required
- You have worked in health, space, or precision manufacturing where the margin of error is low.
- You have set up manufacturing and vendor pipelines from scratch.
- You have built systems that run autonomously in the field.
What you will get
- Ownership of the physical systems behind a test published in the Journal of Clinical Oncology and covered in Scientific American and New Scientist.
- Hardware decisions that directly shape whether cancer gets caught early, at population scale.
- A small, interdisciplinary team spanning engineers, scientists, clinicians, and working detection dogs. The office is never boring.