Tech Stack
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.
AI
Communication @ 7
DevOps @ 4
Distributed Systems
Machine Learning
Mathematics @ 4
SRE @ 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 is hiring engineers to scale the introduction of next-generation architecture into its EDA Infrastructure. The team focuses on new product introductions, distributed systems, software testing and deployment, and the development of infrastructure solutions for leading computing architectures. A Principal Software Engineer level is available for suitable candidates.
Responsibilities
- Lead technical activities for new product introductions at scale, with a focus on hybrid cloud and on-premises deployments.
- Provide expertise in new product introduction planning across infrastructure workflows, hardware, software releases, workload orchestration, and application tuning.
- Develop fast and creative solutions for complex problems.
- Write clear, effective, and reliable architecture specifications.
- Translate requirements into vision, architecture, and roadmaps.
- Work with engineering teams across NVIDIA to ensure new product architectures integrate seamlessly from hardware through workloads.
- Contribute to EDA cluster architecture, design, and implementation using current technologies.
Requirements
- 12 or more years of overall experience.
- Bachelor's degree in Computer Science or a related technical field involving coding, such as physics or mathematics, or equivalent experience.
- Proven track record of impactful project deliveries focused on cloud infrastructure or cloud application services.
- Experience with large-scale infrastructure, DevOps and/or SRE practices, and/or Platform Engineering.
- Systematic problem-solving approach, strong communication skills, sense of ownership, and drive.
- System-level experience with both hardware and software.
- Strong problem-solving and customer-facing communication skills.
- Ability to work concurrently with multiple groups locally and abroad.
- Passion for continuous learning and knowledge transfer.
Preferred Experience
- Developing machine learning and artificial intelligence infrastructure.
- Developing bare metal as a service (BMaaS) systems.
- Developing multi-cloud infrastructure services.
- Crafting, analyzing, and troubleshooting large-scale distributed systems.
Compensation and Benefits
- Base salary range of $224,000–$356,500 for Level 5.
- Base salary range of $272,000–$431,250 for Level 6.
- Salary is determined by location, experience, and compensation for employees in similar positions.
- Eligible for equity and benefits.
Applications will be accepted at least until August 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
More jobs at Nvidia
Deep Learning Scientist Intern, LLM, Multimodal, and Agentic AI - Summer 2027
Nvidia · Santa Clara, United States
USD 20-94 per hour
Senior Software Engineer - Autonomous Vehicles
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Networking Software Architect
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Software Developer, AI Networking
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Machine Learning Engineer, AI Safety Evaluations
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Similar jobs
ML Ops DSX Senior Engineer
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Distinguished Engineer, Core DevOps
GitLab · United States, United Kingdom, Canada
USD 250,000-349,000 per year
Technical Program Manager, Inference
Anthropic · San Francisco, United States, New York City, United States
USD 290,000-435,000 per year
Forward Deployed Engineer - Physical AI Cloud Platform
Nebius · United States, Austin, United States
USD 179,500-224,300 per year
Senior AI Systems and Algorithms Engineer
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Staff Software Engineer - Agentic IT Operations
Nvidia · Santa Clara, United States
USD 200,000-322,000 per year
Distinguished Engineer, Agentic SDLC & Non-Linear Productivity
GitLab · United States, Poland, United Kingdom, Canada
USD 250,000-349,000 per year
Principal Site Reliability Engineer
Nvidia · Santa Clara, United States
USD 248,000-396,800 per year