Neuromorphic/AI Research Scientist
Required skills
Innovative Problem-Solving, Collaborative Leadership, Adaptability, Communication Excellence, Results-Oriented Mindset, Intellectual Curiosity
Technologies
Python or C/C++, scientific programming, edge AI HW accelerators, event-based sensors, low-precision arithmetic, systems languages (C/C++/assembler), profiling and benchmarking, hardware architecture and design
Responsibilities
Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms, Develop research-quality software artifacts including APIs, kernels, and benchmarking tools, Prototype and evaluate approaches under realistic constraints including quantization, sparsity, memory footprint, latency, and energy optimization, Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications, Build experimental pipelines and benchmarks for target use cases with comprehensive baseline and ablation studies, Communicate results through technical documentation, customer prototypes, and publications in leading conferences and journals, Contribute to technical thought leadership in neuromorphic computing and present findings to internal and external stakeholders
Seniority
Experienced Hire
Domain
Neuromorphic computing, AI/ML, edge computing, robotics, control, signal processing, probabilistic inference
