Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI. Backed by Lightspeed, Sequoia and a16z.
About 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
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.
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...
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