NVIDIA

2 days ago

Senior System Software Engineer - Local AI Automation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Build and maintain infrastructure that powers local deployment of high-quality AI applications and models. Work on automation for downloading, syncing, and managing model repositories, and on benchmarking to measure accuracy, functionality, and performance across inference backends. Develop data processing engines for dataset analysis and visualization, collaborate with internal teams to debug automation workflows, and design robust CI/CD pipelines for build and deployment.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, implement, and maintain infrastructure to run AI workloads through inference backends such as Llama.cpp, Ollama, PyTorch, WinML, TRT-RTX, and others.
•Develop automation solutions for deploying AI applications, benchmarks, and models, including ways to measure accuracy, functionality, and performance.
•Build infrastructure to download AI models from various sources, manage a local model repository, and implement automated synchronization to keep it up to date.
•Analyze large datasets to derive insights and build visualizations, and implement data processing engines to transform raw data for developer review.
•Design, implement, and maintain CI/CD pipelines for automated build and deployment; debug existing infrastructure, identify performance bottlenecks, and improve efficiency.

Key Requirements

•5+ years of experience with a B.Tech or higher degree in Computer Science, Information Technology, Software Engineering, or related fields.
•5+ years of application development proficiency using C#, Java, or another programming language.
•Exposure to at least one scripting language such as Python, Perl, or PHP.
•Familiarity with databases and SQL, and experience with source control and CI/CD pipelines (Git, Perforce, Jenkins).
•Outstanding written and oral communication skills for collaboration with management and engineering teams.

Experience:5+ yearsAIGenerative AIAutomationLocal AI

Education:Bachelor's in Computer Science, Information Technology, Software engineering (or related field)

Skills:Analytical thinkingProblem-solvingMultitaskingCommunication

Tech Stack:C#JavaPythonPerlPHPSQLGitPerforceJenkinsCI/CDGrafanaKibanaKubernetesDockerLlama.cppOllamaPyTorchWinMLTRT-RTXGeForce RTX

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

2 days ago

Senior System Software Engineer - Local AI Automation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, implement, and maintain infrastructure to run AI workloads through inference backends such as Llama.cpp, Ollama, PyTorch, WinML, TRT-RTX, and others.
•Develop automation solutions for deploying AI applications, benchmarks, and models, including ways to measure accuracy, functionality, and performance.
•Build infrastructure to download AI models from various sources, manage a local model repository, and implement automated synchronization to keep it up to date.
•Analyze large datasets to derive insights and build visualizations, and implement data processing engines to transform raw data for developer review.
•Design, implement, and maintain CI/CD pipelines for automated build and deployment; debug existing infrastructure, identify performance bottlenecks, and improve efficiency.

Key Requirements

•5+ years of experience with a B.Tech or higher degree in Computer Science, Information Technology, Software Engineering, or related fields.
•5+ years of application development proficiency using C#, Java, or another programming language.
•Exposure to at least one scripting language such as Python, Perl, or PHP.
•Familiarity with databases and SQL, and experience with source control and CI/CD pipelines (Git, Perforce, Jenkins).
•Outstanding written and oral communication skills for collaboration with management and engineering teams.

Experience:5+ yearsAIGenerative AIAutomationLocal AI

Education:Bachelor's in Computer Science, Information Technology, Software engineering (or related field)

Skills:Analytical thinkingProblem-solvingMultitaskingCommunication

Tech Stack:C#JavaPythonPerlPHPSQLGitPerforceJenkinsCI/CDGrafanaKibanaKubernetesDockerLlama.cppOllamaPyTorchWinMLTRT-RTXGeForce RTX

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