AI Engineer

Reposted 23 Days Ago
Be an Early Applicant
3 Locations
Hybrid
210K-250K Annually
Senior level
Artificial Intelligence • Machine Learning • Software • Semiconductor
AI for our most pressing crises in silicon.
The Role
As a Staff AI Engineer, you'll lead AI projects, design systems for large document processing, mentor teams, and develop AI evaluation strategies.
Summary Generated by Built In

Your Role in Our Mission:

We are looking for an AI Engineer to build production systems that understand large technical documents - like chip design specifications - and turn them into code. You'll ship real improvements to customers weekly while pushing the boundaries of what's possible in AI for hardware through reinforcement learning, agentic coding, and exceptional software engineering.

Responsibilities:

  • Lead end-to-end AI development from initial concept through production deployment and iteration.

  • Design and implement LLM-powered solutions that extract meaning from complex technical specifications.

  • Handle multi-modal complexity and explore multi‑agent and RL approaches for agentic code generation and tool‑use.

  • Design strategies to manage latency, output variance, and graceful error handling at scale.

  • Collaborate with product and engineering teams to embed AI capabilities seamlessly into our platform.

  • Guide junior engineers and establish best practices for AI development

What Makes You A Great Fit:

  • Previous experience delivering production AI systems involving language models, preferably involving document understanding and/or agentic workflows.

  • Solid software engineering skills with experience in distributed systems and production-grade code.

  • Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face, transformers.)

  • Hands-on experience with prompt engineering, fine-tuning, and deploying large language models.

  • Ability to wrangle, clean, and preprocess large-scale, heterogeneous datasets.

  • Understanding of AI safety, bias mitigation, and ethical considerations.

  • Ability to explain complex AI concepts to both technical and non-technical stakeholders.

Bonus Points For:

  • Experience deploying AI systems in mission-critical or high-stakes production environments.

  • Experience with cloud platforms (AWS, GCP, Azure) for large-scale AI infrastructure.

  • Research or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, or program synthesis.

  • Open-source contributions or publications in AI/ML venues.

  • Skill in balancing cutting-edge innovation with production reliability and pragmatism.

Equal Employment Opportunity Statement

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.

Accessibility Accommodations

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 [email protected].

Privacy Notice

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.

Top Skills

Hugging Face
Python
PyTorch
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The Company
HQ: New York , NY
51 Employees
Year Founded: 2022

What We Do

Normal is rethinking semiconductors from the ground up.

The infrastructure powering AI models was never designed with today’s scale, complexity, or energy demands in mind. Today's general-purpose architectures underutilize the physical potential of the hardware itself.

By aligning hardware design with the intrinsic properties of physical systems, we can transform efficiency. We believe that exploring the limits of new and custom silicon, including those which optimize their own physics, requires the help of AI, better EDA software, and ultimately the realization of a virtuous cycle of self-improving AI hardware.

We deliver our software and hardware with the largest semiconductor design and manufacturing institutions, a responsibility which entails individual ownership and deep partnership. We are a diverse, lean team of the world's best engineers, scientists, and operators, with offices in New York City, San Francisco, London, and Copenhagen.

Why Work With Us

We understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms.

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