RTL Jobs

Cerebras Systems is seeking a senior front-end design engineer to join the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role involves deep expertise in RTL design and integration, focusing on high-performance, power-efficient, and scalable solutions. You will collaborate closely with verification, physical design, software, and system teams to bring innovative semiconductor architectures from concept to production, tackling the unique challenges of building WSE systems. The company's architecture enables industry-leading AI training and inference speeds, transforming AI applications and unlocking real-time iteration and agentic computation.

$200k - $290k

Tenstorrent is seeking a Physical Design Engineer to lead cross-functional efforts in solving complex physical design challenges and developing end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role, and offers will align with the assessed level.

$100k - $500k

OpenAI

We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis, building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists.

$380k - $500k