Senior Software Engineer, Datacenter Modeling

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is hiring a Senior Engineer to design and build robust software for accelerated computing systems. The role involves solving challenging technical problems, contributing to architecture decisions, improving engineering practices, and collaborating with partners across NVIDIA. The engineer will build and maintain software systems that combine hardware, software, workload, and deployment assumptions to evaluate data-center-level power, total cost of ownership (TCO), and performance trade-offs. They will contribute to software design decisions through prototyping and solution evaluation, strengthen engineering quality through testing and operational practices, define interfaces with other teams, resolve complex technical issues, and participate in code reviews and knowledge sharing. The position calls for an analytical, adaptable engineer with substantial programming experience and the ability to work effectively with multidisciplinary teams. An MS or PhD is preferred. The role offers a base salary range of $184,000–$287,500 for Level 4 or $224,000–$356,500 for Level 5, depending on location, experience, and pay for similar positions. The employee is also eligible for equity and benefits. Applications will be accepted at least until October 31, 2026. This posting is for an existing vacancy.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics, Applied Mathematics, or a related field, or equivalent experience.
6+ years of experience in Python or other modern programming languages.
Experience developing and maintaining technical software systems.
Strong analytical, problem-solving, and debugging skills.
Ability to learn quickly, work effectively in a dynamic environment, and apply new technologies and approaches.
Strong written and verbal communication skills and ability to collaborate across multidisciplinary teams.

Nice To Haves

An MS or PhD.
Comfort navigating ambiguous problem spaces, learning from source code and primary papers, prototyping quickly, and adapting based on evidence.
Background in performance analysis, executive dashboards, or quantitative modeling for accelerated systems.
Experience working close to hardware or at large scale.
Track record of turning real-world inputs into structured, reliable software.
Experience helping teammates learn and adopt new technologies while continuing to deliver.
Good judgment about systems build and openness to revising views as new information emerges.

Responsibilities

Design, implement, and maintain software systems combining hardware, software, workload, and deployment assumptions to evaluate data-center-level power, TCO, and performance trade-offs.
Contribute to software design decisions by prototyping and evaluating solutions and incorporating stakeholder feedback.
Improve engineering quality through effective testing, regression coverage, and operational practices.
Collaborate across teams to define clear interfaces and support efficient development.
Make hands-on contributions to complex technical problems and help diagnose and resolve issues.
Participate in builds and code reviews, share knowledge, and help teammates adopt effective software and engineering practices.