Normal Computing

Forward Deployed Engineer

New York City

Sponsorship not specified$10k-$100kDetected 44 days ago

PythonDistributed SystemsFull-Stack DevelopmentRESTMachine LearningRAGAccessibilitySalesAccount ManagementVerilogResearchProblem Solving

About the role

The cost of taping out silicon is enormous, and the complexity of verification makes multiple tapeouts hard to avoid.
EDA accelerates this work as an AI platform for collaborative silicon engineering:
a single source of truth across the silicon engineering lifecycle, learning continuously from the teams that use it.

Design and run evals against real customer workflows, validating generated artifacts against their specifications so model behavior holds up in production.
Integrate the platform with each customer's data, design flows, and tooling, working with their production codebases and against their existing infrastructure.
Embed with silicon design teams, translate their constraints into model and platform requirements, and carry that signal back to Normal's research, product, and platform teams to shape what gets built next.
As a Forward Deployed Engineer, you own our EDA system inside a customer's environment.
Embedded directly with our partners, you adapt our platform to their data, workflows, and design challenges, working alongside our account executive and a deployment strategist to make the deployment a success.
Evaluation Against Reality: Design and run evals against real customer workflows, validating generated artifacts against their specifications so model behavior holds up in production.
Platform Integration: Integrate the platform with each customer's data, design flows, and tooling, working with their production codebases and against their existing infrastructure.
Customer Signal: Embed with silicon design teams, translate their constraints into model and platform requirements, and carry that signal back to Normal's research, product, and platform teams to shape what gets built next.

Willingness and ability to go deep on semiconductor verification workflows.
An ability to ship ML systems inside customer or production environments where model behavior had to hold up against real-world data
Hands-on experience with the modern ML stack: prompt engineering, fine-tuning, evals, RAG, agentic patterns, model deployment

Direct experience with EDA, semiconductor design flows, verification workflows (UVM, SystemVerilog, coverage-driven verification), or other formal/structured engineering domains

You thrive as a problem-solver and take pride in winning over customers along with the rest of your team.
You will be debugging distributed systems, post-training models, and working in SystemVerilog, because that is the language of our customers.
Built or led an FDE or customer-deployment function from the ground up at an earlier-stage company

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

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