Build the spine of the decision graph — the distributed system that ingests heterogeneous sensor streams under contested bandwidth and composes them into one coherent picture.

The mission

Our decision graph is the connective tissue of the company. It receives multi-modal sensor streams from radar, EO/IR, SIGINT, and acoustic platforms — composes them into a single decision-grade picture — and continues to do so when the upstream link drops, when nodes go dark, when timing is adversarial. You will own its architecture from first principles.

This is a role for someone who has been in the room for hard distributed-systems decisions before, and who is ready to make them again — this time with the consequences of getting it wrong measured in lives, not lost analytics events.

A PROBLEM YOU'D JOIN US IN SOLVING

"Radar at 50 Hz, EO/IR at 25 fps, SIGINT pulses arriving asynchronously — fused on a 4 GB Jetson, with the upstream link dropping for 90 seconds. Operators downstream still need a decision-grade picture every second. How do you architect the buffering, the fusion,



and the graceful downgrade?"

You'll own 5 SURFACES

Core fusion pipeline architecture — protocol design, state replication, consistency model.
Edge ↔ cloud handoff across degraded and intermittent links.
Observability and replay tooling — production incidents must be reconstructable.
Performance budget across all sensor ingestion paths.
Mentoring the next two engineers on this team.

You bring 7+ YEARS

Production distributed systems in Rust, Go, or contemporary C++.
Deep familiarity with consensus, eventual consistency, CRDTs, and their trade-offs.
Comfort with low-level networking — UDP, multicast, custom protocols on lossy links.
A bias for systems that fail gracefully — degraded beats silent.
Habit of writing technical specs, not just code.

Bonus signals OPTIONAL

Background in defence, aerospace, robotics, or autonomous vehicles.
Familiarity with tactical radio links (Link 16, MIDS) or analogous loss

📌 APPLIED ML ENGINEER (Kolkata)
🏢 Smart System of Systems
📍 Kolkata