Edge AI Systems Engineer
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Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
We are looking for a Systems Engineer with strong experience in optimizing AI/ML models and algorithms for constrained radiation-hardened or low-power compute environments deployed in-orbit. You will work at the intersection of onboard processing embedded optimization space systems engineering and applied AI enabling real-time intelligence directly on satellite payloads.
About KaleidEO
KaleidEO a subsidiary of SatSure is investing in launching its own fleet of earth observation satellites. We are seeking an Image Processing wizard to own and nurture the logical pipeline that delivers the best geospatial images and products.
SatSure is a deep tech decision Intelligence company that works primarily at the nexus of agriculture infrastructure and climate action creating an impact for the other millions focusing on the developing world. We want to make insights from earth observation data accessible to all.
The synergy of KaleidEO and SatSure aims to bring a new dimension to the earth observation industry by being the only full-stack company from India to have satellites in space to deliver insights on the ground.
If you are interested in working in a space tech analytics domain driven by cutting-edge technology on the edge as well as on the ground for solving complex data problems using Multi-Sensor Earth Observation data you will have the freedom to work on innovative ideas and be creative with no hierarchies KaleidEO us the place for you.
Role & Responsibilities:
- Design optimize and deploy AI/ML models and algorithms for on-orbit edge compute platforms.
- Implement latency memory and power-efficient model optimizations (quantization pruning distillation).
- Architect onboard real-time processing pipelines for MSI imagery telemetry and sensor fusion.
- Collaborate with payload engineers to meet compute thermal and mission constraints.
- Convert algorithms into embedded implementations (C/C CUDA Vitis TVM ONNX Runtime etc.).
- Support end-to-end system integration with flight software and ground systems.
- Build benchmarking frameworks for in-orbit performance telemetry.
Must Have:
- 4-5 years of experience in machine learning-based data product research and development in addition to a relevant educational background in the field of Computer Science Mathematics Engineering or Machine Learning.
- Strong understanding of ML model optimization (quantization pruning distillation).
- Experience deploying ML workloads on edge/embedded compute (Jetson Movidius FPGA DSP ARM NPUs).
- Proficiency in low-level systems (C/C embedded Linux RTOS).
- Experience with TensorRT TFLite Micro OpenVINO TVM Vitis AI ONNX Runtime CUDA.
Good to Have :
- Experience with satellite payloads on-orbit processors and EO algorithms.
- FFT optimization or real-time signal processing experience.
- CubeSat/satellite mission design experience.
- Work with space-qualified hardware (Xilinx space-grade NVIDIA TX2i/AGX Cobham Gaisler).
- Experience with autonomous onboard decision systems.
- Understanding of radiation effects (SEU TID).
Who You Are :
- You excel in constrained high-reliability environments.
- You love optimizing algorithms for extreme efficiency.
- You want your work to directly influence spaceborne intelligence.
Benefits :
- Medical Health Cover for you and your family including unlimited online doctor consultations.
- Access to mental health experts for you and your family.
- Dedicated allowances for learning and skill development.
- Comprehensive leave policy with casual leaves paid leaves marriage leaves bereavement leaves.
- Twice a year appraisal.
Interview Process:
- Introductory call
- Interview rounds (ideally up to 3-4 rounds)
- Culture Round / HR round
Required Experience:
IC
Key Skills
- Environment
- Academics
- Javase
- Cost Estimation
- Fire
- Business Studies
About Company
SatSure is a deep tech, decision intelligence company. We leverage advances in satellite remote sensing, machine learning, big data analytics and cloud computing to create products and solutions which help enterprises and their people make smart decisions.
