Engineering

Education

Consulting

Business Development

Arts and Design

Administrative

Product Management

Operations

Military and Protective Services

Media and Communication

Marketing

Support

Sales

Information Technology

Research

Human Resources

Healthcare Services

Finance

Program and Project Management

Entrepreneurship

Applied AI and custom silicon for semiconductors and industrials

Co-Founder, CEO

Co-Founder, COO

Chips That Run on Thermal Noise Could Cut AI Image Generation Energy Use 10,000 Times

Creating Reliable and Transparent AI: Why We Invested in Normal Computing

The 21 Largest NYC Tech Startup Funding Rounds of Q1 2026

The 7 Largest NYC Tech Startup Funding Rounds of March 2026

AI Research Resident

Normal Computing is an applied AI company solving challenging problems in AI, silicon, and critical infrastructure. The AI Research Resident will advance agentic LLMs and reinforcement learning through research, experimentation, evaluation, dataset curation, and production-quality code, while contributing to a research paper and presenting findings to the organization.

Research Engineer, Domain Scaling

Normal Computing is an applied AI company solving challenging problems in AI, silicon, and critical infrastructure. The Research Engineer, Domain Scaling will create reinforcement learning environments and data strategies for chip-engineering and EDA-related capabilities, including task sourcing, reward design, vendor management, and evaluation. The role also involves collaborating with AI researchers, product teams, and domain experts to improve model capabilities and develop real product features.

Software Engineer, Agent Systems

Normal Computing is an applied AI company solving challenging problems in AI, silicon, and the systems that power critical infrastructure. The Software Engineer, Agent Systems will build backend runtimes and distributed systems for AI products, including orchestration services, execution environments, APIs, persistence layers, and observability systems. The role focuses on making AI agent workflows reliable, secure, and production-ready.

AI Research Engineer

Normal Computing builds stochastic, in-memory, asynchronous silicon and AI-native electronic design automation systems to improve AI inference efficiency. The AI Research Engineer will advance agentic LLMs and reinforcement learning for an agentic code generation tool by designing experiments, building agents, curating technical datasets, and creating rigorous evaluations. The role also involves writing production-quality research code and collaborating with engineering to deliver improvements to customers.

Research Engineer, Algorithms

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. The role involves developing computational methods for efficient AI inference on thermodynamic hardware, focusing on algorithm development and software/hardware co-design.

AI Engineer

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource, enabling more efficient AI inference. The AI Engineer role involves building production systems to understand large technical documents and convert them into code, pushing AI boundaries for hardware through reinforcement learning and agentic coding. The position requires leading AI development, designing LLM-powered solutions, managing production quality, integrating AI into platforms, and mentoring junior engineers.

Product Engineer

Normal Computing is a company that builds foundational software and hardware supporting the semiconductor industry and AI infrastructure. They are hiring a Product Engineer to create AI-native products and workflows for semiconductor engineers, focusing on enhancing the efficiency of hardware teams in chip building and verification.

Software Engineer, Backend

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. They are seeking a Backend Software Engineer to develop software for semiconductor engineers, focusing on backend services, API design, and database management.

Silicon Software Lead

Normal Computing is an applied AI company developing foundational hardware and software for the semiconductor industry and AI infrastructure. The Silicon Software Lead will lead the team building the compiler, runtime, kernels, drivers, and hardware abstraction layer for Normal’s stochastic analog computing hardware, while setting technical direction and partnering with hardware architects on co-design. The role also owns the software roadmap, tooling, simulation-to-silicon continuity, and team hiring.

Design Verification Engineer

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. As a Design Verification Engineer, you will verify ASICs and set quality standards for AI learning, while also supporting customer deployments when necessary.