Own full-cycle recruiting for specialized technical roles, partnering with founders and engineering leaders to source and close talent while building scalable hiring processes and reaching deep-tech communities.
Unconventional jobs
Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI.
12 open roles at Unconventional
Coordinates end-to-end recruiting logistics, candidate communications, and hiring data while supporting onboarding and team events to keep a fast-growing organization running smoothly.
AI Silicon, Physical Design Engineer
As a Physical Design Engineer, you will lead the RTL-to-GDSII implementation of high-performance hardware, optimizing power, performance, and area while ensuring design integrity.
AI Silicon, Analog CAD Engineer
As an Analog CAD Engineer, you will establish and manage a high-functioning CAD environment, optimizing workflows and supporting the design team in creating energy-efficient hardware.
As a DFT Engineer, you will lead the implementation of test architectures and methodologies, ensuring high-performance and energy-efficient hardware for novel AI concepts.
AI Systems, Model Optimization
As a Member of Technical Staff focused on AI Systems and Model Optimization, you will develop training techniques and optimization strategies to enhance AI model efficiency on novel compute substrates.
AI Systems, Language & Reasoning Models
Drive the development of foundational language and reasoning models that leverage novel silicon dynamics, focusing on model architecture and hardware co-design.
Build and extend simulation frameworks for machine-learning systems on unconventional hardware, integrating physics-based models and GPU-accelerated tools to support algorithmβhardware tradeoffs and cross-layer optimization.
System Modeling (Dynamic Systems Simulation)
Develop high-performance PyTorch or JAX components to model complex, time-varying circuit-based dynamic systems, enabling next-generation AI architectures.
System Modeling (Performance Models)
Develop simulation frameworks and high-fidelity performance models for AI computing systems, comparing accelerator architectures and supporting cross-layer design and hardware verification.
System Modeling (Computation)
As a Member of Technical Staff in System Modeling, you will develop advanced simulation frameworks for physics-based computing systems to enhance machine learning workloads.
As a Member of Technical Staff, you will drive invention and prototyping at the intersection of AI, physics, and computer architecture, tackling complex technical challenges.
Page 1 Β· 12 results
