Unconventional Ai

Job Summary:
Unconventional AI is on a mission to revolutionize computing efficiency for AI applications. They are seeking a Member of Technical Staff who will tackle complex technical challenges at the intersection of AI, physics, and computer architecture, driving invention and prototyping for their novel computing platform.
Responsibilities:
• Drive invention, prototyping, and validation of core components of the novel computing platform.
• Engage in theoretical modeling and simulation, algorithm development, hardware/software co-design, and experimental validation in collaboration with team members.
Qualifications:
Required:
• Exceptional technical ability in a quantitative field (e.g., Physics, Computer Science, Electrical Engineering, Applied Math, or a related discipline). An MS/PhD or equivalent research/project experience is strongly preferred.
• A '0-to-1' mindset. You have a demonstrated history of tackling complex, ambiguous R&D problems, often from a blank slate.
• Deep curiosity. You are comfortable diving into new domains, whether it's semiconductor physics, machine learning theory, or systems-level design.
• A creative and unconventional approach to problem-solving.
• Core competences in the analysis of nonlinear dynamical systems (ODEs, PDEs, SDEs), ideally with experience analyzing the stability, noise robustness, and capacity of such systems.
• The ability to leverage analytic insights to build practical tools – metrics, algorithmic optimizations, and automated analyses – that can be used to study dynamical systems.
• Strong command of Python and expertise with using numeric computing and visualization libraries, such as numpy, scipy, and matplotlib.
• Familiarity with dynamics-based ML model architectures, such as diffusion models and energy-based models, and general experience with ML model training flows.
Preferred:
• Compute model technical staff may focus primarily on the above skillsets, or may be cross-disciplinary with hardware or AI/ML algorithms expertise.
• Excellent ability to translate complex technical concepts for diverse teams. You will act as a translator, discussing algorithmic/model trade-offs with ML/AI teams and eliciting hardware constraints and features from hardware engineering teams.
Company:
Unconventional AI rethinks computer foundations to optimize energy efficiency for AI. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.