Little Place Labs is reimagining how satellites process and deliver intelligence from orbit by developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs. The company aims to turn satellites into autonomous, intelligent systems that interpret data instantly, unlocking critical advantages across defense, environmental monitoring, and global communications.
Requirements
- Strong in Python; experience with frameworks like TensorFlow, PyTorch, OpenCV.
- General Software engineering: cloud infrastructure, docker, git best practices, etc.
- Exposure to C/C++, CUDA, ONNX, TensorRT, OpenVINO, or FPGA acceleration is a plus.
- Experience with architectures such as CNNs, ViTs, GANs and foundational models etc
- Experience with model compression is a plus.
- Good understanding of embedded systems from the perspective of deploying AI.
- Edge AI Focus: Experience or keen interest in deploying models in constrained environments (e.g., embedded systems, on-board devices).
Responsibilities
- AI-Driven Development: Proactively use modern AI tools to enhance productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).
- Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
- Model Optimization: Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.
- Provide MLOps, orchestration, and workflow best practices.
- Cross-Functional Collaboration: Work with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy’s broader pipeline.
- Innovation & Research: Stay ahead of emerging trends in Edge AI, ML, and remote sensing, and translate them into practical solutions for space applications.
- Data Handling: Process large, complex datasets from diverse sensors; design robust preprocessing, augmentation, and feature extraction workflows.
Other
- For candidates based in India only.
- This is a remote-first role, requiring excellent communication skills to coordinate with global teams and external partners.
- Some travel within India or internationally may be required.
- Ability to work independently in a remote-first setup.
- Excellent communication skills to bridge technical and product conversations across geographies.
