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Founding Engineer - AI for Hardware Engineering

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AI Summary

We are seeking a Founding Engineer to build core systems for an automation engine in hardware engineering. The successful candidate will design, implement, and post-train AI agents for global enterprise customers. The ideal candidate will have 2-6 years of experience in machine learning and strong Python skills.

Key Highlights
Build core systems for automation engine
Design and implement AI agents
Collaborate with customers and engineering team
Key Responsibilities
Design and implement core workflows and infrastructure for hardware engineering agents
Build ML models that interpret complex engineering design data and integrate with enterprise tools
Work closely with customers and engineering team to deliver reliable AI-powered workflows
Technical Skills Required
Python Machine Learning PyTorch
Benefits & Perks
$180,000–$250,000 annual salary
0.1%–1% equity
Visa sponsorship
Nice to Have
Experience in law/policy or customer-facing product work
High-impact contributions or published papers at top-tier AI lab/team
Background in domains with real-world constraints

Job Description


Job Description

Job Title: Founding Engineer (AI for Hardware Engineering)

Location: San Francisco, CA

  • On-site, Remote

Machine Learning & Artificial Intelligence

Compensation: $180,000–$250,000 + 0.1%–1% equity

Company Overview

A stealth-stage startup building AI for hardware engineering at complex manufacturers. Founded 2025, 1–10 people (Seed), backed by top-tier venture investors, with a founding team from senior industry and government leadership.

The Role

Build core systems for an automation engine in hardware engineering. Design, implement, and post-train AI agents for global enterprise customers. As a first technical hire, own mission-critical systems end-to-end.

Key Responsibilities

  • Design and implement core workflows and infrastructure for hardware engineering agents (context management, indexing, post-training)
  • Build ML models that interpret complex engineering design data and integrate with enterprise tools
  • Work closely with customers and engineering team to deliver reliable AI-powered workflows
  • Prototype rapidly, validate with real users, and ship frequently
  • Influence engineering culture and product direction

Tech Stack

Discover more

Data Management

Data Analysis

Text & Instant Messaging

Python, PyTorch, Hugging Face, W&B

Requirements

  • 2-6 years of experience (open to exceptional new grads)
  • Strong Python and ML library experience (PyTorch, Hugging Face, W&B)
  • Experience building production ML or AI systems
  • Strong familiarity with LLM architectures and agent research trends
  • Bachelor's or higher in CS, ML, or equivalent
  • Genuine interest in technology

Green Flags

  • Experience in law/policy or customer-facing product work
  • High-impact contributions or published papers at top-tier AI lab/team
  • Background in domains with real-world constraints (automotive, aerospace, robotics, energy)
  • Experience with geometric data, CAD, or complex engineering design data
  • Post-training or fine-tuning experience
  • Interest in AI, hardware development, and policy intersection

Red Flags

  • Only research/academic AI with no production background
  • Weak customer collaboration skills
  • Slow-moving or process-dependent
  • No experience with search, information retrieval, or complex data systems
  • Only cares about salary
  • Random resume padding

Why Join

  • Founding-level ownership of mission-critical AI systems
  • Backed by top-tier investors with senior industry/government founding team
  • Build AI for iconic automotive, aerospace, and industrial manufacturers

Details

  • Location: San Francisco, CA
  • Work policy: On-site in SF highly preferred; open to exceptional remote
  • Compensation: $180,000–$250,000 + equity
  • Visa sponsorship: H-1B, O-1, OPT
  • Employment type: Full-time

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