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Forward Deployed Engineer

Normal Computing · New York, United States

External listingfull-time2 months ago

About The Role

Join Normal, an AI platform for collaborative silicon engineering. As a Forward Deployed Engineer, you will own our EDA system inside a customer's environment, adapting our platform to their data, workflows, and design challenges. You will work closely with our account executive and a deployment strategist to ensure a successful deployment. Your responsibilities will include debugging distributed systems, diagnosing issues, designing and running evaluations, integrating the platform with each customer's data and design flows, and embedding with silicon design teams. You will also post-train Normal's models on each customer's proprietary data and trajectories, and work with the greater engineering team to improve our tools.

  • Adapt the EDA platform to customer data, workflows, and design challenges, ensuring successful deployment.
  • Debug distributed systems, post-training models, and diagnose issues in the system, model, data, or workflow.
  • Design and run evaluations against real customer workflows, validating generated artifacts against their specifications.
  • Comfortable with travel when needed
  • An ability to ship ML systems inside customer or production environments where model behavior had to hold up against real-world data
  • Calm in ambiguity. You make good decisions with incomplete information, and you know when to act and when to ask
  • Hands-on experience with the modern ML stack: prompt engineering, fine-tuning, evals, RAG, agentic patterns, model deployment
  • Great at problem-solving and tracking down issues wherever they are in the stack
  • Willingness and ability to go deep on semiconductor verification workflows. You will spend significant time inside UVM testbenches, SystemVerilog codebases, and design specifications. Prior experience is a strong advantage, but what matters is whether you can build fluency fast and earn credibility with verification engineers
  • Strong software engineering fundamentals: proficient in Python, comfortable in production codebases, distributed-systems literate
  • You thrive as a problem-solver and take pride in winning over our customers along with the rest of your team
  • Open-source contributions or publications in AI or ML venues
  • Built or led an FDE or customer-deployment function from the ground up at an earlier-stage company
  • Direct experience with EDA, semiconductor design flows, verification workflows (UVM, SystemVerilog, coverage-driven verification), or other formal / structured engineering domains

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