NVIDIA
NewDesign and maintain engineering solutions for GPU cluster validation, monitoring, and operations at scale. The role involves working across the AI Platform organization to reduce operational overhead for internal researchers, with participation in on-call support. You'll need a BS/MS in Computer Science or equivalent, 2+ years in software/platform engineering with 1+ year in ML infrastructure or distributed systems, strong coding in Python, C++, or Rust, and experience with Docker, Kubernetes, and GitLab CI. Base salary ranges from $124,000 to $195,500 USD.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is at the forefront of innovations in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention—the GPU—functions as the visual cortex of modern computing and is central to groundbreaking applications from generative AI to autonomous vehicles. We are now looking for a Software Engineer to help accelerate the next era of machine learning innovation.
In this role, you will propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers, enable them to focus on training and development by reducing operational disruption and overhead, empower them for self-service continuous improvement on reliability, operational excellence & performance. 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.
What You'll Be Doing:
In this position, you will work with coworkers across the AI Platform organization to understand the pain points of validating, monitoring and operating GPU clusters at scale. Then you will design, develop and maintain engineering solutions to solve those pain points systematically.
You will also research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil.
You will participate in on-call support for systems, platforms built and owned by the team.
What We Need To See:
BS/MS in Computer Science, Engineering, or equivalent experience.
2+ years in software/platform engineering, including 1 year in ML infrastructure or distributed systems.
Experience in software development lifecycle on Linux-based platforms.
Strong coding skills in languages such as Python, C++ or Rust.
Experience with Docker, Kubernetes, GitLab CI, automated deployments.
Experience with AIOps or Agentic AI and apply it successfully in production environment.
Ways To Stand Out From The Crowd:
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
251K – 401K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 86 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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