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The Data Center Engineering team defines repeatable technical standards and carries them through design, construction, commissioning, and operational readiness.
We are seeking a Principal or Staff Data Engineer to join our IOPS IT team, building the data infrastructure and pipelines that power data‑driven decision‑making across the organization.
In this role, you'll help shape how data is leveraged across the business, acting as a trusted advocate for data-driven decision making and innovation.
It's fun to work in a company where people truly believe in what they're doing. At Workday, each of us is committed to bringing passion and customer focus to the business of enterprise applications.
As enterprise adoption of autonomous agents accelerates, CIOs, CISOs, and CTOs are facing a critical governance challenge: how to manage identity, access, provisioning, lifecycle automation, and least-privilege controls across a combined workforce of people and AI agents.
We are looking for a highly organized, proactive, and detail-oriented Internal Audit Analyst to join our Global Internal Audit team in Foster City, California.
Build and maintain a globally distributed cloud infrastructure platform using Infrastructure as Code (e.g., Terraform). Collaborate with Cloud Platform Engineering and business unit application teams to engineer infrastructure solutions for their cloud-based applications.
You'll be embedded with a high-growth AI startup, owning the frontend from the ground up.
You will join a very motivated team that achieves record setting results and a fun group that helps each other be successful at work and play.
You will join a very motivated team that achieves record setting results and a fun group that helps each other be successful at work and play.
The application window is expected to close on: 01/29/2027. Hybrid – San Francisco or San Jose, CA. Remote within the U.S. will be considered for candidates outside the Bay Area. Must include a link to your online portfolio.
You will manage a team to enable efficiency and bring transformation to life by tracking and reporting on key initiatives, wins, and progress. In this role, you will drive business operations through strategic alignment, process optimization, and financial oversight.
Strategic Consultative Partnership: Act as a trusted technical advisor to Canadian public sector customers, applying architecture, delivery, and implementation expertise to align solutions with their mission, business, and operational objectives.
The Data Center Engineering team defines repeatable technical standards and carries them through design, construction, commissioning, and operational readiness.
talentsearchpro · 5d ago
• Lead preconstruction from early budgeting and estimating through scheduling, client coordination, and final deliverables. • Work with Operations to assess project scope, logistics, constructability, staffing, and execution strategy before construction begins.
The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it.
Engage in 24/7 global shift rotations to provide remote support for network repairs and changes while collaborating across teams and updating customers on status and ticket information.
Build and operate scalable telemetry pipelines for metrics, logs, traces, and events across on-premise, CSP, and NCP clusters. Establish common instrumentation, collection, storage, and access patterns so teams can generate and consume telemetry consistently.
Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack.
Maintain and develop Kubernetes operators and our Container Storage Interface (CSI) plugin. Develop a web-based solution that manages, operates and monitors our distributed storage. Work closely with other teams to define and implement new APIs.
Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production. Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities.
Lead deep technical engagements with hyperscale CSPs as the primary NVIDIA point of contact for system software, firmware, and platform readiness for NVIDIA datacenter products.
Drive GPU firmware & siftware work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management.
San Francisco, USA
Limerick, Ireland
Toronto, Canada