Unconventional, Inc.

Technical Program Manager at Unconventional, Inc. (Mountain View, CA)

Unconventional, Inc.· Mountain View, CA·

Job description

Technical Program Manager

Location: MTV

About Unconventional

We're a team of researchers and engineers, working across AI theory, silicon architecture, system modeling, agentic software, and AI systems. We tape out test chips every four months and release new models every six months. If that cadence sounds intense, it is. We're taking a big swing with big risk, and we need people who want to go deep on hard problems.

The Role

We're looking for a Technical Program Manager to own hardware-software co-development across our test chip program. You'll be the connective tissue between silicon, architecture, systems, and software teams—driving rapid prototyping cycles that let us validate new AI architectures quickly and learn fast.

This role leads to owning program execution for our first product.

Responsibilities

Drive test chip programs from architecture exploration through tapeout, bring-up, and characterization. You'll manage aggressive 4-month tapeout cycles, coordinating across silicon, hardware architecture, and systems teams.

Own hardware-software co-development schedules and dependencies. Our architecture is novel, which means software, compilers, and system integration are deeply intertwined with silicon decisions. You'll keep these workstreams synchronized.

Build and maintain the program infrastructure for rapid iteration—tracking experiments, capturing learnings, managing risk, and making tradeoffs visible so the team can move fast without losing coherence.

Work across AI theory, system modeling, and silicon teams to translate research directions into executable program plans. You'll need to understand what we're trying to learn from each test chip and structure the program around those goals.

Prepare the organization for product execution. As we move from prototyping toward our first product, you'll help evolve our program discipline from research velocity to production readiness.

Minimum qualifications

  • 10+ years technical program management in silicon, systems, or ML infrastructure
  • Strong written and verbal communication across highly technical teams
  • BS/MS in Computer Science, Electrical Engineering, or related field
  • Experience with hardware-software codesign programs—AI accelerators, novel compute architectures, or research silicon

Preferred qualifications

  • Understanding of chip development lifecycle: architecture, RTL, tapeout, bring-up, validation
  • Familiarity with compiler/runtime development and system software integration
  • Fluency with agentic tools and AI-assisted workflows to scale program management without scaling headcount or meetings
  • Comfort with ambiguity—you can build structure without imposing process that slows teams down
  • Technical depth to engage credibly with chip architects, compiler engineers, and ML researchers
  • Track record shipping in fast-moving environments: startups, research labs, or skunkworks programs

Why Join Us?

We're not building a better Von Neumann computer. We're building a different kind of computer based on a different understanding of what AI computation requires. The TPM role here isn't about tracking Gantt charts—it's about enabling a team of researchers and engineers to iterate fast on ideas that don't exist anywhere else.

Why work at Unconventional, Inc.

  • Culture: Deeply interdisciplinary, first-principles culture that challenges assumptions – described as “endlessly curious, comfortable with discomfort, and drawn to the edge of chaos.”
  • Growth opportunity: Very early-stage (only 23 employees) with massive ambition; employees can shape foundational technology from the ground up.
  • Remote/Hybrid: Two offices (San Diego HQ and San Francisco); likely hybrid or on-site given hardware work, but not explicitly stated.
  • Perks & environment: Small team, high ownership, access to top investors and mentors, and the chance to solve one of AI’s most critical bottlenecks (energy).
  • Talent sources: Employees come from Databricks, MIT, Cohere, and other top AI/tech organizations – strong peer group.

Application questions