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About the Role

Normal Computing is seeking exceptional researchers and engineers for its AI Research Residency, focused on the frontier of agentic AI. This program offers a dedicated research mentor, direct access to the team building our agentic code generation platform, and a clear path from onboarding to publication. Residents will contribute to foundational hardware and software for the semiconductor industry and critical AI infrastructure.

Responsibilities

Develop multi-agent and RL strategies for agentic code generation and tool use, turning them into research prototypes integrated with our code generation platform.
Build comprehensive evaluation suites, including task specifications, benchmarks, and performance dashboards, to assess system performance.
Source and curate datasets from technical documents and other materials, and generate synthetic data as needed.
Scope, run, and iterate on original technical investigations in partnership with researchers and engineers, including rigorous experimental analysis and documentation.
Co-author research papers for submission to relevant venues, with mentorship on framing, experiments, and technical writing.
Present work and findings to the Normal Computing research community at the residency colloquium.
Experience startup pace firsthand by working directly with founders, senior researchers, and engineers in a lean, fast-moving environment.

Requirements

Currently pursuing or recently completed a graduate degree (MS or PhD, or equivalent research experience) in computer science, AI, machine learning, or a related field.
Strong Python skills and proficiency with modern ML frameworks (PyTorch preferred).
Familiarity with agentic LLM concepts, including multi-agent systems, tool use, reinforcement learning variants, constrained decoding, and program synthesis.
Experience turning a research idea into working, reasonably reproducible code.
Comfort with, or eagerness to learn, the practical side of research: acquiring and curating datasets, considering licensing and provenance, and building evaluation frameworks for sequential or agentic tasks.
Strong written and verbal communication skills.
A bias toward ownership and self-direction, with comfort in ambiguity and speed of a small, fast-moving startup.

Skills

Agentic LLM concepts
Multi-agent systems
Tool use
Reinforcement learning variants
Constrained decoding
Program synthesis
Python
PyTorch
ML frameworks
Dataset acquisition and curation
Evaluation frameworks
Written communication
Verbal communication
Technical writing
Presenting technical work

Location

New York City
San Francisco
London
Copenhagen
Pangyo

Work Type

Full-time
Residency Program

Experience Level

Early Career
Research Resident

Education Level

Graduate degree (MS or PhD, or equivalent research experience)

About the Company

Normal is an applied AI company solving the hardest problems in AI and silicon.
We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions.
We work as one team across New York City, San Francisco, London, Copenhagen, and Pangyo.

Equal Opportunity

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.