Research Scientist — Neuromorphic Computing & Efficient AI
Location: Bengaluru, India Type: Full time Team: Autonomous Machines Applied Research Center Eligibility: PhD, or MTech with relevant research/industry experience
About the role
We’re building efficient AI systems for autonomous machines — spanning spiking neural networks, event-based vision, quantized/compressed model architectures, and reinforcement learning — with the eventual aim of getting research results onto real, resource-constrained hardware (FPGAs and neuromorphic accelerators). You’ll work on problems that span the end to end pipeline - algorithm design, training methodology, and hardware deployment.
This is a research role: you’ll be expected to contribute to publications and Intellectual property and also see ideas through to working demos and systems on real silicon. We’re open to both PhD holders and MTech candidates who’ve built up equivalent depth through hands-on research or industry experience — what matters most is demonstrated ability to do original, rigorous technical work in this space.



The candidate should ideally have prior experience with publishing research and/or developing Intellectual property. Being able to work with hardware (FPGAs, Neuromorphic chips/Raspberry pi/NVIDA jetson platforms) would be a huge plus.
What you’ll work on
Spiking neural networks — architecture design, training methodology (surrogate gradients, quantization-aware training), and both dense and sparse/event-driven formulations for video and sensor data
Event-based and neuromorphic vision — pseudo-event and true event-camera pipelines
Model compression and quantization — ternary/binary weight networks, hardware-aware, quantization-aware training, for real-time inference under tight power and area budgets
FPGA and neuromorphic hardware deployment — taking trained models to hardware (Xilinx KV260 / Zynq UltraScale+, and neuromorphic accelerators such as BrainChip Akida and SynSense Speck), including custom H

📌 Research Scientist — Neuromorphic Computing (Bengaluru)
🏢 Infosys
📍 Bengaluru