NVIDIA Logo

NVIDIA

Senior Deep Learning Software Engineer, DLSim

Posted 29 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
Develop simulation infrastructure for evaluating deep learning workloads across NVIDIA GPUs and compiler stacks. Optimize compiler kernel code generation, computational graphs, and datacenter-scale AI deployments using performance modeling. Collaborate with architecture, software, product, and research teams to assess future GPU features and influence silicon and system design. The role requires strong MLIR, C/C++, and Python expertise, along with experience in compiler optimization, architectural simulation, or related areas.
The summary above was generated by AI

The DL Performance Modeling Team’s core mission is to deliver full stack simulation infrastructure for deep learning applications across a spectrum of GPUs. We actively collaborate with architecture, software, product, and research teams to shape and refine the strategic roadmap of DL hardware and software

We are now looking for a Deep Learning Software Engineer to help develop simulation infrastructure. The software rapidly assesses new AI-accelerating GPU hardware and software advancements.

What you’ll be doing: 

  • Develop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.

  • Improve deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight.

  • Advance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.

  • Partner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.

What we need to see: 

  • A Masters (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.

  • 3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.

  • Strong hands-on experience with MLIR and compiler infrastructure.

  • Excellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development.

  • Strong communication and collaboration skills, with the ability to thrive in a fast-paced, multi-functional, outcome-focused environment.

Ways to stand out from the crowd:

  • Experience designing and building compiler frameworks or intermediate representations from the ground up.

  • Deep understanding of LLM inference workloads and their implications for computer architecture.

  • Hands-on experience implementing and optimizing complex AI workloads on CPUs, GPUs, or custom accelerators.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, collaborative and love a challenge, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 28, 2026.

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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

46 Seconds Ago
In-Office
Internship
Internship
Healthtech • Logistics • Pharmaceutical
Supports development, testing, deployment, and documentation of SCADA visualization solutions. Assists with SCADA client/server displays, PLC function block programming, process control system modifications, infrastructure documentation, training guides, requirements, design, and evaluations. The role is part-time and intended for a currently enrolled undergraduate or graduate student with a minimum 3.0 GPA.
Top Skills: Allen BradleyHTMLJavaNetworkingPlcPythonScadaSiemensSQLSvg
9 Minutes Ago
Hybrid
Senior level
Senior level
Financial Services
Develops and executes compensation strategies for Consumer Banking. Provides compensation consulting to business leaders, conducts complex pay and market analyses, presents findings to senior management, supports annual compensation planning, reviews offer packages, and ensures compliance with governance standards. The role partners with HR and business stakeholders, manages cross-functional initiatives, maintains controls, and drives operational excellence.
Top Skills: AlteryxBusiness ObjectsExcelMS OfficeMicrosoft PowerpointWeb Intelligence
9 Minutes Ago
Hybrid
Entry level
Entry level
Financial Services
Leads Asset Management’s Central Planning and Analysis team, overseeing budgeting, forecasting, variance analysis, financial metrics, reporting, dashboards, and data quality initiatives. Partners with senior management and finance stakeholders to explain trends, identify growth opportunities, improve controls, streamline processes, and introduce automation. Creates executive presentations, supports ad hoc analysis, and drives performance improvements across the business.
Top Skills: ExcelMicrosoft PowerpointPower BITableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account