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Edge AI Systems Engineer

SatSure Analytics India
Bengaluru, Karnataka

Apply Now

Job details

Benefits

Health insurance
Paid time off

Qualifications

Image processing
Computer Science
Signal processing
FPGA
C++
C
Machine learning
Embedded software
Linux
ARM
AI

Full job description

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:

4-6 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

Apply Now

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