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The role involves developing and managing infrastructure for distributed LLM inference systems, ensuring performance and usability, debugging complex systems, and collaborating with performance engineers.

The Account Executive will drive new business, own the sales cycle, and collaborate cross-functionally in regulated industries while managing complex sales cycles.

Design and implement RDMA/InfiniBand networking primitives for distributed GPU inference, optimize communication for Disaggregated KV Cache and WideEP, enable sub-10s model startup, validate hardware performance on H100/H200/B200/B300/GB300 clusters, build observability tools, and optimize or author communication kernels (NCCL/NVSHMEM/UCX).

As a Software Engineer, you'll build and maintain Baseten's core product, design APIs, implement features, fix issues, and collaborate with teams.

Develop and maintain components for machine learning inference platform. Focus on Kubernetes deployments, resource management, and performance monitoring.

The Account Executive is responsible for building sales processes, closing new business, and developing a strong sales pipeline while maintaining relationships with customers.

As a Software Engineer, you'll architect and lead the development of infrastructure for ML training, enhancing reliability and performance while mentoring junior engineers.

The Sales Manager will lead a team of Account Executives, drive revenue, define go-to-market strategies, and collaborate with product and engineering teams.

Manage the San Francisco office’s reception, conference rooms, physical environment, supplies, vendors, deliveries, and workplace issues. Coordinate space for onboarding, interviews, customer visits, meetings, and events across multiple buildings. Build relationships with teams, anticipate needs, resolve conflicts, support events, and maintain a polished, organized, high-quality office experience. This is an in-person role five days per week.

Build and ship agentic AI product experiences, internal automation, and reliable production AI systems. Partner with research engineers to turn internal workflows into customer-facing features, designing harnesses, execution flows, guardrails, and evaluations. Work end to end across APIs, backend systems, agent orchestration, and frontend interfaces. Identify manual processes suitable for AI automation, resolve customer issues, and operate autonomously in a fast-moving environment.