Edge AI & Cognitive Systems Engineer

Job Description

Morphedo Technologies Pvt. Ltd.
www.morphedo.com
info@morphedo.com

About Morphedo

Edge AI & Cognitive Systems Engineer
An ISO 9001-2015 Certified Company
Morphedo builds intelligent hardware systems that think and act at the edge—where power, latency, and reliability are
critical. Our mission is to push the boundaries of embedded intelligence by engineering devices that sense, reason, and
decide in real time. As part of our R&D team, you will work across the full stack—from sensors to signals to models to
actions—to bring cognitive capabilities onto real-world devices operating in demanding environments.
Role Overview
As an Edge AI & Cognitive Systems Engineer, you will design, optimize, and deploy AI models that run efficiently on
embedded platforms. You’ll bridge machine learning and embedded systems, developing intelligent, context-aware
devices for applications across aerospace, medical, and industrial domains.
Key Responsibilities
• End-to-End Edge AI Pipeline: Curate sensor datasets (optical/NIR, bioimpedance, inertial, electrical), design
DSP/feature extraction, train models, and deploy inference pipelines on MCUs and SoCs.
• Model Optimization: Quantize, prune, and distill models to meet stringent device constraints — achieving <10
30 ms latency, <1–10 MB RAM, and milliwatt-class power consumption.
• Cognitive Intelligence at the Edge: Implement context-aware reasoning, novelty/anomaly detection, and neuro
symbolic or rules-on-embeddings approaches to enable on-device decision-making.
• Hardware–Firmware Co-Design: Collaborate on sensor selection, signal conditioning, and PCB/FW interfaces
(SPI/I²C/UART/CAN/Modbus); design real-time pipelines on FreeRTOS or Embedded Linux.
• Scalable Edge Deployment: Develop OTA update strategies, telemetry systems, model versioning, and edge
MLOps frameworks for monitoring and model drift tracking.
• Verification & Compliance: Create HIL tests, calibration procedures, and verification documentation aligned with
domain-specific standards (medical, aerospace, or industrial).
• Technical Leadership: Drive system-level design reviews, mentor team members, and define the technical
direction for intelligent embedded systems.
Must-Have Qualifications
• Proven experience delivering ML-based products or pilots.
• Proficiency in Python (training/tooling) and C/C++ (firmware/embedded).
• Hands-on experience with TinyML or on-device inference using TFLite Micro, TensorRT, ONNX Runtime, TVM, or
OpenVINO.
• Strong understanding of INT8 quantization, pruning, distillation, signal processing, and sensor fusion.
Registered Office:
292, G. No. 5, Surya Vihar Part II,
Faridabad – 121003, Haryana, India
Corporate Office:
H-146, 147, LGF, H Block, Sector – 63
Noida – 201301, Uttar Pradesh, India
Morphedo Technologies Pvt. Ltd.
www.morphedo.com
info@morphedo.com
An ISO 9001-2015 Certified Company
• Experience working on ARM Cortex-M/A, NVIDIA Jetson, NXP i.MX, Qualcomm, or RISC-V platforms.
• Exposure to FreeRTOS and/or Embedded Linux (Yocto/Debian) environments.
• Familiarity with Git, CI/CD, unit/integration testing, OTA, and embedded debug tools (serial, JTAG, logic
analyzers).
• Systems thinking across sensors → firmware → models → cloud/edge operations.
Preferred Skills (Nice-to-Haves)
• Experience with cognitive systems, including lightweight agent frameworks, planners, rules-on-embeddings, or
on-device retrieval.
• Domain expertise in NIR/optical spectroscopy, biomedical signals (ECG/PPG/HRV), power systems, or
vibration/acoustics.
• Understanding of connectivity protocols (BLE, Wi-Fi, LoRa, CAN) and secure provisioning practices.
• Knowledge of security and safety frameworks such as IEC 60601, ISO 13485, DO-178C, IEC 62443, or MIL-STD
810.
• Familiarity with Rust for embedded, or CUDA kernel-level optimization.
• Experience with Edge MLOps, shadow deployments, telemetry, and drift detection.
• Background in high-reliability productization (HALT/HASS, environmental stress testing).
Tech Stack You’ll Work With
• Languages: Python, C/C++
• Frameworks: PyTorch, TensorFlow, TFLite Micro, TensorRT, ONNX Runtime, TVM
• Platforms: FreeRTOS, Embedded Linux
• Tools: ARM CMSIS-DSP, Grafana, InfluxDB, Prometheus, OTA frameworks, CAN/Modbus stacks
Education & Experience
• B.Tech/M.Tech in Electronics, Electrical, or Computer Engineering, or equivalent hands-on experience.
• Strong portfolio of publications, open-source contributions, or shipped embedded devices preferred over formal
pedigree.
Join us to push the frontier of intelligent embedded systems — where cognition meets real-world constraints.
Registered Office:
292, G. No. 5, Surya Vihar Part II,
Faridabad – 121003, Haryana, India
Corporate Office:
H-146, 147, LGF, H Block, Sector – 63
Noida – 201301, Uttar Pradesh, India