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

Lead a GPU Kernel Engineering team building and optimizing low-level CUDA kernels for ML inference. Combine hands-on kernel development, performance profiling, and technical leadership to reduce latency and cost. Set roadmap, mentor engineers, collaborate cross-functionally, and represent the team externally while maintaining high standards for correctness and performance.

Own new-business revenue in regulated verticals (finance, healthcare, insurance, government). Manage full enterprise sales cycle, win lighthouse customers, run technical POCs with engineers, and collaborate with Product, Legal, and Marketing to shape GTM and product roadmap.

Own and build the internal Capacity product end-to-end, creating full-stack features, translating operational requirements into tooling, eliminating manual processes, and ensuring observability and operational alignment with SRE and infrastructure teams.

Own Basetens enterprise-readiness product: define deployment options, compliance posture, access/security controls, and billing/spend controls. Work with engineering and GTM to turn deal-by-deal work into supported, sellable platform capabilities, set roadmap, and represent enterprise customers internally.

Lead design and build of a real-time observability and root-cause analysis system for high-density GPU fabrics. Collect, reduce, correlate telemetry from switches, hosts, NICs, GPUs, and services; model topology and ownership; separate fabric faults from host/driver/RDMA/scheduler issues; and produce operator workflows for triage and remediation.

Three-month, full-time, on-site research fellowship in San Francisco focused on open-source LLMs. Fellows receive a $15,000 stipend, mentorship, compute funding, and support to publish rigorous research with potential path to full-time employment.

Lead the Cloud Platform and Site Reliability organization, setting technical direction, ensuring reliability, and managing infrastructure for AI products.

Lead large-scale brand campaigns across digital, events, and out-of-home; partner with product marketing and engineering on launches; translate complex technical ideas into clear visual communication; evolve and scale Baseten's visual identity and brand system; own projects end-to-end and shape employer brand while raising craft across customer touchpoints.

Lead and drive complex, cross-team infrastructure programs end-to-end: scope migrations, sequence dependencies, manage risk, establish operating rhythms, track action items, create clear plans from ambiguous goals, surface risks, and communicate progress to engineers and senior leadership to ensure programs complete on time and without surprises.

As an Applied AI Inference Engineer, you will architect, build, and deploy AI applications, collaborating with customers throughout the development and deployment process, and enhancing ML projects.