We're Hiring:
Aerospace Data & ML Engineer
Full time | Core team
LAT Aerospace | Perception & Autonomy
At LAT Aerospace, we're building India's first clean-sheet hybrid-electric STOL aircraft and a next-generation autonomy stack powering aircraft for complex missions. Our team is kicking off a new chapter developing the full flight-control, obstacle-avoidance, GNSS-denied navigation, and swarm-coordination layers that will define LAT's autonomy architecture.
We're hiring an Aerospace Data & ML Engineer to build the pipelines, labeling systems, analytics tooling, and LLM interfaces that transform raw logs into flight intelligence.
What You'll Do
- Organize and label flight logs, sim logs, design logs, sensor data, and video data into structured datasets.
- Build pipelines to clean, parse, index, and query large volumes of aerospace telemetry.
- Train LLM-based models to interpret logs and generate performance metrics, summaries, and fault signatures.
- Develop internal tools for engineers to search, visualize, and analyze logs quickly.
- Work with autonomy, GNC, and flight-test teams to define which metrics and behaviors must be extracted.
What We're Looking For
- Strong Python skills and experience with data processing, time-series analysis, or telemetry logs.
- Experience training or fine-tuning LLMs or ML models.
- Ability to work with large, messy, multimodal datasets.
- Clear systems thinking able to design pipelines that make engineers faster.
Why LAT
- Core-team role building the autonomy brain of India's most ambitious aerospace startup.
- Ownership, speed, and the opportunity to define a new class of systems from scratch.
