AI/ML Infrastructure Jobs

Databricks

Databricks is seeking a Senior Engineering Manager for Search to lead the development and scaling of their next-generation Search product. This role is critical in building and evolving a highly performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. The manager will drive innovation across Vector Search, Keyword Search, and Search Quality, and will be responsible for shaping the long-term vision, mentoring engineers, and collaborating across teams to expand the impact of Search at Databricks.

$222k - $300k

Scale AI

Scale GP is building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. The goal is to help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. This is a 0→1 team looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions, shipping fast, owning outcomes, and working across the stack from frontends to distributed backends to LLM integrations.

$180k - $225k

SambaNova is seeking a Senior RDU System Architect to join their team. This role is crucial in transforming silicon into shippable AI infrastructure, specifically focusing on SambaRack-class server and rack designs, the interconnect fabric linking RDUs, and the power and cooling systems required for dense AI compute. You will define the architecture from board to cluster level, make critical build, buy, and co-design decisions with hardware partners, and author the specifications they will build to. The position involves guiding the platform from initial architecture definition through bring-up, qualification, and fleet deployment, ensuring alignment with product and customer priorities.

$250k - $350k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for frontier-scale post-training, including SFT, RL, tool use, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M and is seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market strategies for a nascent category.

$150k - $350k