David Joseph & Company
Founding Engineer, Applied AI
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Job Description
San Francisco, CA · On-site (open to exceptional remote) · Full-time
Compensation
$180,000–$250,000 + 0.1%–1% equity
About the Company
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A stealth-stage startup building AI for hardware engineering at complex manufacturers — automating engineering compliance and accelerating innovation at the intersection of AI, hardware, software, law, and policy. The company partners with leading automotive, aerospace, and industrial manufacturers and is backed by top-tier venture investors, with a founding team drawn from senior industry and government leadership.
Founded 2025 · 1–10 people (Seed) · Industry: AI Tools
The Role
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Build the core systems behind an automation engine for hardware engineering — designing, implementing, and post-training AI agents that power critical product-development workflows for global enterprise customers. As one of the first technical hires, you'll own mission-critical systems end-to-end.
What you'll be doing
- Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training
- Build agents and ML models that interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems
- Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments
- Prototype rapidly, validate ideas with real users, and ship frequently
- Influence engineering culture, architecture decisions, and the future of the product
Tech stack
Python, PyTorch, Hugging Face, W&B
Requirements
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- 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 a...
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