8 months ago

AI Hardware Architecture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Join a small, multi-disciplinary R&D team as a foundational member working at the intersection of AI, physics, and computer architecture. Drive invention, prototyping, and validation of analog and unconventional computing components for energy-efficient ML inference. Roles span modeling, simulation, algorithm development, hardware/software co-design, and experimental validation to help chart the technical roadmap.

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Architecture & Urban Planning

Key Responsibilities

•Propose, design, and evaluate analog-computing systems architectures for 1000x energy-efficiency advantage in ML inference
•Drive invention, prototyping, and validation of core components of the novel computing platform
•Engage in theoretical modeling and simulation, algorithm development, and hardware/software co-design
•Collaborate with team members across disciplines to chart the technical roadmap amidst deep uncertainty
•Communicate complex technical concepts effectively to diverse stakeholders from algorithms to circuits

Pay and Benefits

Perks:Health Insurance401kPaid Leave

Key Requirements

•MS/PhD or equivalent research/project experience in Physics, Electrical Engineering, Computer Science or related field; deep knowledge in AI hardware systems design or integrated-circuit design
•Analog and/or other unconventional physics-based computing; exposure to basic principles and engineering practice
•Familiarity with modern generative AI models and what this implies for analog computer systems design
•Excellent ability to communicate complex technical concepts to diverse teams across algorithms to circuits
•Prototyping, validation, and design experience for analog computing systems architectures

Experience:AI hardwareComputer architectureMLHardware systems designIC design

Education:Master's

Skills:Communication

Languages:English

Tech Stack:Analog computingAI hardwareIntegrated-circuit designNon-volatile memoriesRRAMModelingSimulation

Company Brief

Unconventional AI

Builds customizable AI copilots and fine-tuned large language model solutions to help teams automate workflows, surface actionable insights, and integrate generative AI into business processes across products and operations.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website

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Unconventional AI

8 months ago

AI Hardware Architecture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Architecture & Urban Planning

Key Responsibilities

•Propose, design, and evaluate analog-computing systems architectures for 1000x energy-efficiency advantage in ML inference
•Drive invention, prototyping, and validation of core components of the novel computing platform
•Engage in theoretical modeling and simulation, algorithm development, and hardware/software co-design
•Collaborate with team members across disciplines to chart the technical roadmap amidst deep uncertainty
•Communicate complex technical concepts effectively to diverse stakeholders from algorithms to circuits

Pay and Benefits

Perks:Health Insurance401kPaid Leave

Key Requirements

•MS/PhD or equivalent research/project experience in Physics, Electrical Engineering, Computer Science or related field; deep knowledge in AI hardware systems design or integrated-circuit design
•Analog and/or other unconventional physics-based computing; exposure to basic principles and engineering practice
•Familiarity with modern generative AI models and what this implies for analog computer systems design
•Excellent ability to communicate complex technical concepts to diverse teams across algorithms to circuits
•Prototyping, validation, and design experience for analog computing systems architectures

Experience:AI hardwareComputer architectureMLHardware systems designIC design

Education:Master's

Skills:Communication

Languages:English

Tech Stack:Analog computingAI hardwareIntegrated-circuit designNon-volatile memoriesRRAMModelingSimulation

Company Brief

Unconventional AI

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website