Neuromorphic/AI Research Scientist

Location: Hybrid role based at an hirify.global site in the United States, with primary location in Santa Clara, California, and additional locations in Phoenix, Arizona; Folsom, California; Hillsboro, Oregon; and Austin, Texas.

Annual salary: $170,500–$315,490 USD

Company

hirify.global's Neuromorphic Computing Lab develops brain-inspired computing technologies and transforms research breakthroughs into products for physical AI systems.

What you will do

• Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms.
• Develop research-quality APIs, kernels, benchmarking tools, experimental pipelines, and software artifacts.
• Prototype and evaluate approaches under quantization, sparsity, memory, latency, and energy constraints.
• Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications.
• Build benchmarks with baseline and ablation studies, and communicate results through documentation, customer prototypes, and publications.
• Present technical findings and contribute to thought leadership in neuromorphic computing.

Requirements

• PhD or equivalent research experience in computational neuroscience, computer science, electrical engineering, applied mathematics, robotics, or a related field.
• At least one project demonstrating the conversion of research ideas into working prototypes with rigorous evaluation.
• At least three publications in leading AI/ML, edge computing, robotics, or control journals or conferences.
• At least two years of experience with state-of-the-art AI models, optimization, and control/dynamical systems, signal processing, or probabilistic inference.
• Scientific programming experience with Python or C/C++, including object-oriented design, testing, debugging, documentation, version control, and code reviews.

Nice to have

• Open-source releases or widely used internal libraries and strong technical writing skills.
• Experience with edge AI hardware accelerators, event-based sensors, quantization, and low-precision arithmetic.
• Experience developing robotics or real-time control software and performant systems-language components.
• Experience profiling and benchmarking algorithms and hardware architectures.
• Hardware architecture and design experience.

Culture & Benefits

• Hybrid work model combining on-site work at an assigned hirify.global site with off-site work.
• Collaboration with a global ecosystem of more than 250 research groups.
• Competitive compensation with stock bonuses.
• Health, retirement, and vacation benefits.
• Opportunities to publish research and present findings to internal and external stakeholders.