NVIDIA

1 week ago

Senior System Software Engineer - AI Data Platform - Inference Factory Optimization

✓ 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

Build and optimize scalable automation systems for validating, tuning, and deploying AI models across cloud and on-prem data centers. Develop infrastructure and tools for performance optimization using test harnesses, benchmarking, and analytical frameworks. Apply deep system software expertise—OS/kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects—while partnering with engineering teams to define requirements, deliver solutions, and improve system reliability.

Location: Hanoi, Vietnam

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop infrastructure and tools to automate complex software processes.
•Implement test harnesses, benchmarking frameworks, and analytical tools to optimize performance and efficiency of software and hardware platforms.
•Use expertise in OS/kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot performant systems.
•Partner with engineering teams to understand needs, define requirements, and deliver efficient solutions.
•Set performance goals, monitor feedback, analyze data, and continuously improve system reliability and technical roadmaps for platform automation.

Key Requirements

•Bachelor's or equivalent experience in Computer Science/Computer Engineering (or a Master’s degree or equivalent in a similar field).
•5+ years of software development experience focused on infrastructure, distributed systems, automation, and/or performance engineering.
•System-level programming expertise using C++, Python, or Go for building tools and automation.
•Deep understanding of system software, including operating system internals, device drivers, memory management, and performance debugging.
•Experience designing and operating large-scale distributed systems, including networking protocols, cluster management, and high-performance interconnects.

Experience:5+ years

Education:Bachelor's

Skills:Problem-solvingAnalytical thinkingDebuggingCollaborationCommunication

Tech Stack:C++PythonGoDockerKubernetes

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

1 week ago

Senior System Software Engineer - AI Data Platform - Inference Factory Optimization

✓ 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: Hanoi, Vietnam

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop infrastructure and tools to automate complex software processes.
•Implement test harnesses, benchmarking frameworks, and analytical tools to optimize performance and efficiency of software and hardware platforms.
•Use expertise in OS/kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot performant systems.
•Partner with engineering teams to understand needs, define requirements, and deliver efficient solutions.
•Set performance goals, monitor feedback, analyze data, and continuously improve system reliability and technical roadmaps for platform automation.

Key Requirements

•Bachelor's or equivalent experience in Computer Science/Computer Engineering (or a Master’s degree or equivalent in a similar field).
•5+ years of software development experience focused on infrastructure, distributed systems, automation, and/or performance engineering.
•System-level programming expertise using C++, Python, or Go for building tools and automation.
•Deep understanding of system software, including operating system internals, device drivers, memory management, and performance debugging.
•Experience designing and operating large-scale distributed systems, including networking protocols, cluster management, and high-performance interconnects.

Experience:5+ years

Education:Bachelor's

Skills:Problem-solvingAnalytical thinkingDebuggingCollaborationCommunication

Tech Stack:C++PythonGoDockerKubernetes

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