InfinitForm-posted 20 days ago
Full-time • Executive
Hybrid • Los Angeles, CA

Founded by pioneers in computational geometry and design, FEA, HPC manufacturing, and software architecture, InfinitForm stands at the forefront of engineering GenAI software. The company’s transformative platform streamlines the design-to-manufacturing process, integrating seamlessly with various manufacturing methods to optimize cost, speed, efficiency, and performance. InfinitForm unifies computational geometry, physics-based simulation, and various manufacturing constraints into a single generative engine that produces manufacturable, lightweight and high performance prismatic designs. By collapsing analysis, optimization, and DFM into one workflow, our platform reduces engineering cycles from days or weeks to minutes – driving significant improvements in cost, performance, and innovation velocity. Backed by leading investors, we raised a $12.3M Seed round in May 2025 and are now scaling our engineering capabilities ahead of our 2026 launch. We’re looking for a hands-on, strategic VP of Engineering who can blend technical leadership, deep individual contribution, and strong team mentorship. This person will guide the architectural evolution of our platform, personally drive early execution on core technical components, and scale the engineering team. They’ll introduce best-in-class development practices that help us ship breakthrough product innovation with reliability and speed. You’ll partner closely with the CEO and Product team to shape InfinitForm into a category-defining platform, and you’ll complement a deep technical foundation — including six PhDs in computational geometry, simulation, and generative design — by bringing world-class engineering rigor and production-quality execution. This is a rare opportunity to own engineering excellence at an early-stage company with ambitious goals.

  • Technical Leadership & Architecture Own the platform architecture and long-term technical direction — built for performance, scale, and reliability
  • Write and review code for foundational systems during the early stages, accelerating execution and setting engineering standards for the team
  • Introduce modern engineering practices: automation, observability, testing, secure-by-default
  • Lead technical discussions and tradeoffs with broad architectural impact
  • Build a system that enables rapid iteration while maintaining stability and trust
  • Execution & Delivery Excellence Drive predictable, high-velocity delivery of roadmap milestones
  • Define and track engineering KPIs for performance, reliability, and quality
  • Strengthen CI/CD, automated testing, and release pipelines for faster, safer deployments
  • Balance technical debt with visible product innovation in partnership with Product Team
  • Building & Organizational Scale Recruit, retain, and mentor exceptional engineers and managers; scale the team
  • Build a culture centered on ownership, transparency, rigor, and continuous improvement
  • Establish clear role definitions, career ladders, and repeatable recruiting processes
  • Cross-Functional Leadership Partner with Product and Design on prioritization to ensure customer and business alignment
  • Communicate technical concepts, risks, and tradeoffs clearly across the organization
  • Support Sales and Customer teams on adoption, integration, and technical positioning
  • 10+ years in software engineering roles, including 4+ years leading managers
  • Proven experience building or scaling engineering teams in a leading technology organization known for high engineering rigor
  • Hands-on technical depth in software development environments (C++, CUDA, Python, Javascript) and cloud infrastructure (AWS, Azure) with ability to code, review, and architect across the full stack during early-stage
  • Strong systems architecture and infrastructure fundamentals — distributed systems, secure cloud environments, and performance-driven design
  • Proven track record of shipping complex software to production at high reliability
  • Excellent communication skills — crisp problem framing and accountability setting
  • Los Angeles / Orange County area residency for hybrid work environment
  • Experience Applied AI/ML in production environments
  • Manufacturing, CAD/CAM, simulation, or industrial software
  • Early-stage startup scaling (Seed → Series B+)
  • Competitive compensation with meaningful equity ownership
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