Senior Software Engineer, Datacenter Modeling

NVIDIA

. Design, implement, and maintain software systems combining hardware, software, workload, and deployment assumptions to evaluate data center-level power, TCO, and performance trade-offs .

Posted 10/28/2026full-timeUnited StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software design and implementation, particularly in Python and modern programming languages, while effectively collaborating across multidisciplinary teams to solve complex technical problems. Strong analytical and problem-solving skills are essential for performance analysis and developing reliable software systems.

Highest-signal resume keywords

Python ProgrammingSoftware DesignPerformance AnalysisAnalytical Problem-SolvingCollaboration Across Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentTechnical Software SystemsDebuggingPrototypingRegression TestingQuantitative ModelingPerformance Trade-Off AnalysisData Center-Level EvaluationSystems Build JudgementStructured Software Development

Soft Skills

Strong Communication SkillsAdaptabilityTeam CollaborationLearning AgilityOpenness to Feedback

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Computer EngineeringBachelor’s Degree in Electrical EngineeringBachelor’s Degree in Mechanical EngineeringBachelor’s Degree in PhysicsBachelor’s Degree in Applied Mathematics

Industry Keywords

Data CenterTCOWorkload EvaluationOperational PracticesHands-On ContributionsCode ReviewsExecutive DashboardsDynamic EnvironmentAmbiguous Problem SpacesMultidisciplinary Teams

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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
Strengthen engineering quality through testing, regression coverage, and operational practices
Collaborate across teams to define clear interfaces and enable efficient development
Make hands-on contributions to complex technical problems and help diagnose and resolve issues
Participate in building and code reviews
Share knowledge and help teammates adopt effective software and engineering practices

Requirements

What you’ll need

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 and work effectively in a dynamic environment and apply new technologies and approaches
Strong written and verbal communication skills
Ability to collaborate across multidisciplinary teams
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 is a plus
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

Benefits

Comp & perks

Equity
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