NVIDIA
Senior Software Engineer - AI Research Clusters
NVIDIA is at the forefront of innovations in Artificial Intelligence, High-Performance Computing, and Visualization. We are looking for a Senior Software Engineer to help accelerate the next era of machine learning innovation by delivering reliable, high-performance GPU clusters to internal researchers.
Your work will empower scientists and engineers to train, fine-tune, and deploy the most advanced ML models on some of the world’s most powerful GPU systems, by proposing and implementing engineering solutions that reduce operational disruption and enable self-service reliability and performance improvements.
Responsibilities
Work with teammates across the AI Platform organization to understand pain points in validating, monitoring, and operating GPU clusters at scale.
Design, develop, and maintain engineering solutions to address those pain points systematically.
Research traditional AIOps and Agentic AI approaches, applying them to reduce operational toil.
Participate in on-call support for systems and platforms owned by the team.
Qualifications
BS/MS in Computer Science, Engineering, or equivalent experience.
8+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems.
Experience in software development lifecycle on Linux-based platforms.
Strong coding skills in Python, C++, or Rust.
Experience with Docker, Kubernetes, GitLab CI, and automated deployments.
Experience with AIOps or Agentic AI and applying it in production environments.
Ways To Stand Out
Proficiency with full-stack development: relational data modeling, DB optimization, REST API semantics, JavaScript, CSS, providing API as a service.
Passion for building developer-centric platforms with great UX and strong operational reliability.
Experience running Slurm or custom scheduling frameworks in production ML environments.
Familiarity with GPU computing, Linux systems internals, and performance tuning at scale.
Your base salary will be determined based on location, experience, and pay of similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 6, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Your work will empower scientists and engineers to train, fine-tune, and deploy the most advanced ML models on some of the world’s most powerful GPU systems, by proposing and implementing engineering solutions that reduce operational disruption and enable self-service reliability and performance improvements.
Responsibilities
Work with teammates across the AI Platform organization to understand pain points in validating, monitoring, and operating GPU clusters at scale.
Design, develop, and maintain engineering solutions to address those pain points systematically.
Research traditional AIOps and Agentic AI approaches, applying them to reduce operational toil.
Participate in on-call support for systems and platforms owned by the team.
Qualifications
BS/MS in Computer Science, Engineering, or equivalent experience.
8+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems.
Experience in software development lifecycle on Linux-based platforms.
Strong coding skills in Python, C++, or Rust.
Experience with Docker, Kubernetes, GitLab CI, and automated deployments.
Experience with AIOps or Agentic AI and applying it in production environments.
Ways To Stand Out
Proficiency with full-stack development: relational data modeling, DB optimization, REST API semantics, JavaScript, CSS, providing API as a service.
Passion for building developer-centric platforms with great UX and strong operational reliability.
Experience running Slurm or custom scheduling frameworks in production ML environments.
Familiarity with GPU computing, Linux systems internals, and performance tuning at scale.
Your base salary will be determined based on location, experience, and pay of similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 6, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2005397
#J-18808-Ljbffr