NVIDIA

4 weeks ago

Principal Software Engineer, At-Scale Reliability and Fleet Intelligence — CSP Engagements

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead CSP-facing reliability initiatives for fleet-scale NVIDIA platforms, driving MTBI measurement, failure classification, and health monitoring architecture. Analyze CSP telemetry to identify cross-customer failure patterns, influence firmware/driver/hardware teams, and validate reliability improvements in real customer environments.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Drive reliability work streams with CSP engineering teams — ensuring shared understanding of MTBI measurement methodology, failure classification, and health monitoring architecture.
•Gather and synthesize CSP fleet reliability data — identify failure patterns that appear across multiple customers and champion improvements back into NVIDIA's firmware, driver, and hardware teams.
•Define consistent MTBI measurement methodology that works across different CSP monitoring environments and operational practices.
•Conduct fleet-scale failure pattern analysis using statistical methods (Pareto, survival analysis, Weibull) to classify failures as systemic, environmental, or configuration-specific.
•Drive fleet health monitoring integration architecture — ensure NVIDIA's health agents, telemetry, and reporting align with CSP operational workflows and automation.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•15+ years of experience in systems software at datacenter scale, or reliability engineering with focus on at-scale challenges.
•BS or MS in Computer Science, Electrical Engineering, Statistics, or related field (or equivalent experience).
•Deep expertise in multi-NUMA, rack-scale system software and firmware; MTBF/MTBI calculation, Pareto analysis, root cause classification.
•Experience with fleet-level telemetry and observability systems: time-series databases, anomaly detection, health scoring, event correlation.
•Understanding of hardware failure modes in large-scale GPU/accelerator deployments and prioritization across compute, interconnect, memory, power, and thermal domains.

Experience:15+ yearsDatacenterHyperscaleGPUAccelerator

Education:Bachelor's

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

Principal Software Engineer, At-Scale Reliability and Fleet Intelligence — CSP Engagements

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Drive reliability work streams with CSP engineering teams — ensuring shared understanding of MTBI measurement methodology, failure classification, and health monitoring architecture.
•Gather and synthesize CSP fleet reliability data — identify failure patterns that appear across multiple customers and champion improvements back into NVIDIA's firmware, driver, and hardware teams.
•Define consistent MTBI measurement methodology that works across different CSP monitoring environments and operational practices.
•Conduct fleet-scale failure pattern analysis using statistical methods (Pareto, survival analysis, Weibull) to classify failures as systemic, environmental, or configuration-specific.
•Drive fleet health monitoring integration architecture — ensure NVIDIA's health agents, telemetry, and reporting align with CSP operational workflows and automation.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•15+ years of experience in systems software at datacenter scale, or reliability engineering with focus on at-scale challenges.
•BS or MS in Computer Science, Electrical Engineering, Statistics, or related field (or equivalent experience).
•Deep expertise in multi-NUMA, rack-scale system software and firmware; MTBF/MTBI calculation, Pareto analysis, root cause classification.
•Experience with fleet-level telemetry and observability systems: time-series databases, anomaly detection, health scoring, event correlation.
•Understanding of hardware failure modes in large-scale GPU/accelerator deployments and prioritization across compute, interconnect, memory, power, and thermal domains.

Experience:15+ yearsDatacenterHyperscaleGPUAccelerator

Education:Bachelor's

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor