Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Act as the primary technical community expert for Mojo and MAX: answer complex questions, triage GitHub issues/PRs, shape open source and packaging strategy, surface product feedback to engineering, and represent Modular at events to grow and support the developer ecosystem.

The role involves enhancing a graph compiler for ML models, optimizing performance across hardware platforms, and collaborating on core technologies.

Lead a team building an inference optimization platform for LLMs across GPUs and ASICs. Define technical direction, partner with GTM and engineering to tune customer workloads, create scalable optimization systems, and grow a high-impact performance engineering team.

Profile customer LLM inference workloads end-to-end and apply optimizations across GPU kernels, inference engine, and distributed systems. Build tooling and a repeatable automated optimization platform, partner with GTM and engineering to deploy tuned inference in production, and publish technical insights to shape industry best practices.

Design, build, and maintain developer tooling for the MAX AI inference stack, including profilers, tracers, debuggers, dashboards, and agent-native tools. Integrate tooling across MAX, Mojo, and driver APIs, collaborate with kernel/model/serving engineers, and drive performance analysis, debugging, and observability to improve developer productivity and production reliability.

Lead a team of backend engineers to build cloud inference services on Kubernetes, focusing on operational excellence, incident response, and engineering best practices.

As a Mojo Libraries Engineer, you'll design and implement libraries for Mojo, focusing on performance and integration with AI systems, collaborating with multiple teams to optimize algorithms and deliver high business impact.

The Mojo Compiler Engineer will design and implement features for the Mojo language within an MLIR-based compiler, optimize performance for AI systems, and enhance the developer experience.

As Head of Hardware Partnerships, you will define and scale Modular's hardware ecosystem strategy by managing relationships with hardware vendors, developing partnership models, and supporting partnership economics.

Drive the product vision for Modular's cloud compute platform, collaborating with teams to enhance AI service capabilities and customer engagement.