Senior Manager, CSP Engagements – System Software SWAT Team at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data Center, HyperscaleIndustries

Requirements

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+ years 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

Responsibilities

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

Skills

Linux kernel

device drivers

firmware

networking

virtualization

observability

debugging

triage

HPC

data center

telemetry

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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