Nvidia Senior Manager CSP Engagements – System Software SWAT Team 

United States, Texas 

28663610

What you’ll be doing:

• Lead a cross-functional SWAT team focused on rapid triage, debugging, and resolution of complex system software issues for hyperscaler customers.

• Drive technical incident response, war-room operations, and escalation management across firmware, Linux kernel, drivers, networking, virtualization, and observability layers.

• Build and mentor a high-performing team of senior engineers; set operational standards for incident response, on-call rotations, and continuous improvement.

• Serve as a primary technical and operational focal point for hyperscaler customers, managing expectations, communications, and participant relationships.

• Collaborate with CSP technical leads, TPMs, and internal engineering teams to deliver customer-validated solutions and influence product quality and release criteria.

• Operate customer-like labs to reproduce issues, validate fixes, and ensure robust telemetry and observability.

• Provide executive-level status updates, risk assessments, and recommendations for critical customer issues.

What we need to see:

• 12+ overall years of proven experience in system software (firmware, Linux kernel, drivers, networking, virtualization), with at least 5 years in data center or HPC software environments.

• Bachelor's degree or equivalent experience.

• Minimum 3+ years of direct experience working with hyperscalers in production environments.

• 6+ yrs of experience in management.

• Proven leadership in managing customer escalations, technical incident response, and cross-functional teams.

• Deep technical expertise in Linux kernel, device drivers, ARM (aarch64) & x86, OpenBMC/SBIOS, out-of-band/in-band management, DMTF protocols (Redfish, PLDM, MCTP, SPDM), and networking (TCP/IP, Ethernet, InfiniBand).

• Strong customer management and team member engagement skills; ability to communicate complex technical issues to executive and engineering audiences.

• Demonstrated success in reducing time-to-mitigation, improving release predictability, and driving continuous improvement in technical operations.

Ways to stand out from the crowd:

• Experience building and operating customer-like labs, automation, and telemetry frameworks.

• Familiarity with GPU computing (CUDA), large-scale AI/HPC workloads, NVLink, Grace, and cluster-leveldeployment/management.

• Knowledge of CXL/memory fabric fundamentals and contributions to industry standards (OCP, DMTF).