Aditya Om and Elliot Arledge join Infinity's race to make any AI chip inference-ready in days, not years, unlocking frontier AI on any chip

SAN FRANCISCO: #AI--Infinity (Infinity Artificial Intelligence Institute), an automated AI research company building the software layer that makes any AI chip inference-ready, today announced two key hires to its engineering team. Aditya Om, a former senior software engineer at Meta Superintelligence Labs (MSL), joins Infinity as Staff Inference Optimization Engineer, and Elliot Arledge, whose CUDA and LLM coding courses have taught skills to more than two million people, joins as Member of Technical Staff.

“We’re hiring engineers to solve the greatest engineering challenges of our generation,” said Jeremy Nixon, founder and CEO of Infinity. “Aditya built inference stacks inside Meta Superintelligence Labs’ silicon program. Elliot taught millions of engineers how kernels actually work. Now they’re building automated AI research systems that create stronger AI models and inference frameworks than humans have ever built, so that every chip can run frontier AI."

Om and Arledge join Infinity at a pivotal time, as the company scales Ignition, its autonomous AI agent that compresses years of chip software development into days. Ignition’s coding-agent controller autonomously bootstraps every layer of a chip’s software stack.

Before joining Infinity, Om led development of the software stack for MSL’s in-house training and inference chips, built the collective communications software stack for Lightmatter’s Passage and where he published Envise in Nature, and worked as an IoT systems design engineer at Intel. He holds a Master’s degree in Electrical Engineering and Computer Science from the University of Michigan, Ann Arbor.

“Joining the team was a no-brainer,” said Om. “Inference has taken the world by storm. We have a pivotal shift in front of us, touching all areas of our lives, similar to the internet in the mid-90s. Infinity's mission of automating research in inference optimization so that the software layer is shaped to the custom hardware is the groundbreaking work I am passionate about.”

Arledge is a self-taught kernel engineer and CUDA expert who, at 22, has built coding courses that have taught millions of people to train LLMs from scratch & optimize CUDA kernels. “Chips are the core bottleneck of our time, and that’s exactly why I wanted to join Jeremy and Infinity,” said Arledge. “It takes a stubborn team of highly skilled, highly coordinated, ambitious people to pull this off.”

Infinity is actively expanding its engineering team, seeking the best AI infrastructure and engineering talent to build the future of recursive self-improving AI systems. Contact careers@infinity.inc to learn more.

INFINITY.INC FREQUENTLY ASKED QUESTIONS

What does Infinity do?
Infinity builds the software layer that makes any AI chip inference-ready. Its autonomous AI agent, Ignition, generates and optimizes inference software for new silicon in days, not years.

What is Ignition and how does it work?
Ignition is Infinity's AI research agent that autonomously writes, tests and optimizes the low-level compute kernels that determine how efficiently a chip runs AI models. It continuously improves through a real-world feedback loop, without human kernel engineers.

Why can't new AI chips compete with NVIDIA out of the box?
NVIDIA's CUDA ecosystem represents two decades of inference software development that rival chipmakers can't quickly replicate. Infinity closes that gap by automating the software development itself.

How fast can Infinity bring a new chip to production-ready AI inference?
In a published case study with d-Matrix, Infinity reached 92% of a new chip's theoretical peak performance within 10 hours of first hardware access, with three frontier models running end-to-end within 10 days.

Which chip companies is Infinity working with?
Infinity is currently in active partnership discussions with multiple major chip companies. Infinity's first live design partnership is with d-Matrix, whose Corsair chip runs production inference via the Infinity d-Matrix Cloud. Infinity also recently announced a collaboration with HP Inc. The two companies have been working together to use Infinity Autoresearch to optimize the NVIDIA Nemotron 3 Super model running on the HP ZGX Fury powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip.

Who founded Infinity?
Jeremy Nixon founded Infinity. He is a former Google Brain researcher and co-founder of AGI House, a San Francisco AI community that has launched hundreds of startups.

Is Infinity hiring?
Yes. Infinity recently added Aditya Om (ex-Meta Superintelligence Labs) and Elliot Arledge (CUDA and LLM educator) to its engineering team. Infinity continues to hire Silicon Valley’s top research and inference-library engineers to build the future of recursive self-improvement (RSI). Openings are posted at infinity.inc/careers.

About Infinity

Infinity (Infinity Artificial Intelligence Institute) is an automated AI research company building the software layer that makes any AI chip inference-ready. Its AI research agent, Ignition, automatically generates, tests and optimizes the low-level compute kernels that determine how efficiently a chip runs AI models, compressing inference software development from years into days. Infinity's live design collaboration with d-Matrix powers the Infinity d-Matrix Cloud, and the company is currently in active partnership discussions with other major chip companies.

Founded in August 2025 and headquartered in San Francisco, Infinity is a privately held company backed by Touring Capital and prominent angel investors, including executives at major chip companies, researchers from OpenAI and Anthropic, and Infinity CEO and founder, Jeremy Nixon. Follow Infinity.Inc on X and LinkedIn and Jeremy Nixon on X and LinkedIn, or learn more at https://infinity.inc.

Fonte: Business Wire