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Normal Computing

Product Manager

Normal Computing

. Work with the Product Lead and engineering teams to build AI systems and an autoresearch platform for ASIC development .

Posted 10/15/2026full-timeNew York City • New York • United StatesJunior💰 $205,500 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in AI systems and ASIC development, with a strong focus on product management and technical program management. Proficient in coding agents and familiar with chip design processes, including architecture evaluation and verification.

Highest-signal resume keywords
AI Systems DevelopmentProduct ManagementCoding Agents FluencyChip Architecture EvaluationTechnical Program Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Product ManagementTechnical Program ManagementChip Architecture EvaluationPrototypingRequirements DocumentationBenchmarkingAutomation OpportunitiesLLM-Powered Product EvaluationSystemVerilog ExposureDigital Design
Soft Skills
Clarity of CommunicationComfort with AmbiguityProblem Framing
Tools & Technologies
Claude CodeCodexCursorEDA ToolsExperiment Dashboards
Industry Keywords
ASIC DevelopmentChip DesignHardware Performance ModelingVerification Debugging

About the role

Key responsibilities & impact
  • Work with the Product Lead and engineering teams to build AI systems and an autoresearch platform for ASIC development
  • Help automate chip-design research by exploring design spaces, generating candidate architectures, evaluating them, and incorporating hardware and silicon experiment results
  • Decide what AI tooling to build and own adoption by the ASIC team
  • Write requirements documents and user journeys
  • Build prototypes when they communicate faster than documentation
  • Collaborate with engineers to turn prototypes into reliable production tools
  • Work in the codebase with coding agents, open pull requests for bug fixes or UI changes, and incorporate engineering code reviews
  • Benchmark novel chip architectures with chip architects
  • Shadow verification debugging and propose automation opportunities
  • Scope requirements and success criteria for custom EDA tools
  • Prototype experiment dashboards
  • Deliver incremental milestones toward tapeout

Requirements

What you’ll need
  • A degree in CS, EE, physics, math, or similar, or the equivalent taught to yourself
  • 1-3 years of experience in product management, engineering, research, technical program management, or a related technical role
  • Demonstrated ability to turn an idea into reality
  • Fluency with coding agents such as Claude Code, Codex, Cursor, or similar
  • Experience building or evaluating LLM-powered products
  • Clarity of communication in speaking and writing
  • Comfort with ambiguity and ability to frame vague problems into proposals
  • Interest in how chips are designed
  • Bonus: coursework, research, or internship experience in chip architectures, digital design, verification, or hardware performance modeling
  • Bonus: exposure to SystemVerilog
  • Bonus: familiarity with mechanisms underlying LLM inference

Benefits

Comp & perks
  • Equity
  • Performance-based incentives
  • Comprehensive compensation package
  • Benefits designed to support employee well-being and professional growth
  • Reasonable accommodations for individuals with disabilities