Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Go @ 6
Kubernetes @ 4
Ruby @ 6
IaC @ 4
Python @ 6
GCP @ 4
CI/CD @ 6
Leadership @ 6
AWS @ 4
Communication @ 7
Mentoring @ 6
Perl @ 6
SRE @ 4
Debugging @ 7
Observability @ 7
AI @ 4
Slurm @ 4
HPC @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. NVIDIA is leading developments in Artificial Intelligence, High-Performance Computing and Visualization. The company is looking for a Senior SRE to join the Compute Farm team to build the next generation of a global services platform and keep critically important systems running.
Responsibilities
- Own SRE solutions end-to-end, from design and implementation to operation and continuous improvement, ensuring they integrate cleanly with HPC schedulers, storage, and network fabrics.
- Use Infrastructure-as-Code (IaC) and configuration management to standardize and automate provisioning everywhere.
- Deliver solutions in a globally distributed, multi-cloud hybrid environment (On-prem, AWS, GCP, OCI).
- Design for failure with redundancy, failure domains, progressive delivery, and strict change control.
- Ensure the highest level of uptime and Quality of Service (QoS) for internal customers through operational excellence.
- Conduct capacity management and planning to meet ongoing operational needs.
- Detect performance issues and recommend solutions to maintain world-class service quality.
- Collaborate with various teams in a fast-paced environment to ensure seamless project completion.
- Participate in on-call rotations, incident reviews, assist in root cause identification, and produce high-quality RCA reports.
Requirements
- B.S. degree in Computer Science or related technical field (or equivalent experience) with 5+ years professional experience building and supporting critical services.
- Experience supporting large-scale HPC clusters using Slurm, LSF or Kubernetes, including setup, tuning, and troubleshooting.
- Proficiency in modern CI/CD techniques and Infrastructure as Code (IaC) for managing services.
- Strong experience crafting large-scale infrastructure platforms for automated host lifecycle management, fleet reliability/auto-healing, end-to-end observability, or data-driven operations (AIOps/ML-driven signals) that materially reduce manual intervention.
- Proficient in monitoring, metrics, container management, and log collection tools.
- 5+ years of coding/scripting experience in at least two high-level programming languages such as Python, Go, Perl, or Ruby.
- Experience mentoring other engineers and influencing technical direction through design reviews, architecture documents, and partnership with product and leadership.
- Creative problem solver with excellent debugging skills and strong communication and documentation abilities.
Ways to stand out
- Published technical write-ups or talks (conference presentations, meetups, engineering blogs) that deep-dive into real-world reliability, observability, or large-scale HPC/SRE problems and their solutions.
- Maintainer or co-maintainer responsibilities for an open source component used in production (plugins, operators, exporters, controllers, or SDKs) at large scale.
Compensation and Other Information
- Base salary range (location- and level-dependent): 152,000 USD - 241,500 USD for Level 3; 184,000 USD - 287,500 USD for Level 4.
- You will also be eligible for equity and benefits.
- Applications accepted at least until March 1, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to fostering a diverse work environment.