Senior Product Manager - Observability and Resilience at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience) and 12+ years of product-management experience in enterprise technology
Experience with GPU observability (DCGM, NVML, etc.) and integration into large-scale telemetry systems
Deep knowledge of AI/ML infrastructure, high-performance computing (HPC), networking, and cloud technologies (IaaS, PaaS) including containerization, Kubernetes, and automation tools
Familiarity with modern observability stacks: metrics, logs, traces, OpenTelemetry, Prometheus/Grafana, ELK/OpenSearch
Experience building and preferably deep understanding of secure, compliance-focused telemetry pipelines (SOC2, FedRAMP)
Ability to articulate trade-offs among latency, throughput, cost, and reliability to both engineering and executive audiences
Data-driven approach: defines SLIs/SLOs, manages error budgets, and develops value models
Strong cross-functional execution: writes clear specs and PRDs, produces GTM collateral, and leads agile processes

Responsibilities

Be a subject-matter expert on resiliency and observability. Deeply understand failure modes across the GPU hardware, network, and software stack, along with the telemetry signals that reveal them, and how they correlate to workload health and SLOs
Master modern reliability architectures. Keep up-to-date with the industry trends
Build for all that want to use. Drive joint project planning. Define concrete achievements, tasks, and work for resiliency and observability initiatives with external partners
Fuel innovation in reliability tooling. Lead ideation sessions to propose novel approaches and shape new proof-of-concepts
Bridge development, SRE, and partner teams. Facilitate clear communication, triage emergent issues rapidly, and ensure feedback loops between engineering and customer operations remain tight
Coordinate execution across different functions. Work with engineering, design, operations, sales, and marketing to embed resiliency and observability requirements into every product launch, capacity expansion, and lifecycle transition

Skills

Observability

Resiliency

GPU

Telemetry

SLOs

SRE

AI Training

Inference

Performance Monitoring

System Diagnostics

Automated Recovery

Reliability Engineering

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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