3 months ago

Senior Software Engineer, Data Center Workloads – Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead software-driven characterization for NVIDIA rack-scale systems, running AI workloads to analyze, characterize, and optimize power, performance, and drive behavior across the full stack. Collaborate across hardware, firmware, drivers, system software, and validation teams to define methodologies and debug cross-stack issues for next-generation AI infrastructure.

Location: Israel

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across NVIDIA rack-scale systems.
•Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.
•Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.
•Investigate system behavior under different workloads and operating conditions to identify bottlenecks, anomalies, and optimization opportunities.
•Work closely with hardware, firmware, driver, system software, performance, and validation teams to define characterization methodologies and debug cross-stack issues.

Key Requirements

•B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field.
•5+ years of software engineering experience, preferably in system software, infrastructure, validation, or performance-focused environments.
•Strong programming skills in Python and at least one system-level language such as C/C++.
•Experience developing automation and test infrastructure for complex hardware/software systems.
•Hands-on experience running, debugging, or optimizing AI, HPC, or large-scale system workloads.

Experience:5+ yearsAIHPCData centerRack-scaleInfrastructure

Education:Bachelor's

Skills:PythonC++LinuxScriptingTelemetryLoggingData analysis

Tech Stack:PythonC++LinuxTelemetryValidationGPUCPUDriversFirmwareSystem softwareCluster orchestrationLab infrastructure

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

3 months ago

Senior Software Engineer, Data Center Workloads – Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Israel

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across NVIDIA rack-scale systems.
•Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.
•Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.
•Investigate system behavior under different workloads and operating conditions to identify bottlenecks, anomalies, and optimization opportunities.
•Work closely with hardware, firmware, driver, system software, performance, and validation teams to define characterization methodologies and debug cross-stack issues.

Key Requirements

•B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field.
•5+ years of software engineering experience, preferably in system software, infrastructure, validation, or performance-focused environments.
•Strong programming skills in Python and at least one system-level language such as C/C++.
•Experience developing automation and test infrastructure for complex hardware/software systems.
•Hands-on experience running, debugging, or optimizing AI, HPC, or large-scale system workloads.

Experience:5+ yearsAIHPCData centerRack-scaleInfrastructure

Education:Bachelor's

Skills:PythonC++LinuxScriptingTelemetryLoggingData analysis

Tech Stack:PythonC++LinuxTelemetryValidationGPUCPUDriversFirmwareSystem softwareCluster orchestrationLab infrastructure

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