Spatiotemporal Analytics Engineer (Edge) — Junior (0–2 yrs)

Location

About the role:

What you’ll do

• Design zone baselines and lead-lag signals (TLCC, CUSUM/BOCPD, Lomb–Scargle, DTW) to flag coordinated decoys.
• Encode “encirclement,” “follow,” and “throw” with geometry + pose cues; output evidence-rich JSON.
• Write vectorized, well-tested Python (NumPy/PyTorch) that runs <50 ms/window on the Box.
• Collaborate with our DeepStream/TensorRT pipeline to consume atomic events and emit pattern alerts.

Must-have

• Strong algorithms + probability; comfort with time series and change detection.
• Python 3.11, NumPy/Pandas, basic PyTorch; unit tests/benchmarks.
• Clear thinking about latency, precision/recall, and false-positive tradeoffs.

Nice-to-have

• TimescaleDB/Postgres, Grafana/Prometheus.
• Experience with tracking/ReID/pose (even coursework level).
• Any exposure to DeepStream/TensorRT is a bonus.

Why this is cool

• You ship detectors that actually protect people, not slideware.
• You’ll work directly with architects and NVIDIA-stack engineers.

Next steps