NVIDIA Logo

NVIDIA

Senior DL Algorithms Engineer - Inference Performance

Reposted 23 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in CA, USA
152K-288K Annually
Senior level
In-Office or Remote
Hiring Remotely in CA, USA
152K-288K Annually
Senior level
The Senior DL Algorithms Engineer will optimize deep learning models for performance, analyze bottlenecks, and contribute to open-source frameworks while collaborating across teams for AI model development.
The summary above was generated by AI

We are looking for a Senior DL Algorithms Engineer for LLM/Omni model optimizations! Seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning workloads. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution.

What you will be doing:

  • Enable and optimize state-of-the-art open models (like Nemotron and Cosmos) on NVIDIA’s accelerated inference SW stack.

  • Contribute new features, fix bugs and deliver production code to open-source frameworks like TRT-LLM, vLLM, SGLang, FlashInfer, etc.

  • Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.

  • Benchmark state-of-the-art offerings and perform competitive analysis for NVIDIA’s SW/HW stack.

  • Co-design with partner teams to develop the next generation of AI models and services.

What we want to see:

  • PhD in CS, EE or CSEE or equivalent experience.

  • 3+ years of experience.

  • Strong background in deep learning and neural networks, in particular inference.

  • Experience with performance profiling, analysis and optimization, especially for GPU-based applications.

  • Proficient in PyTorch or equivalent frameworks for AI, or HPC-heavy application development.

  • Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

Ways to stand out from the crowd:

  • Proven experience with processor and system-level performance optimization.

  • Deep understanding of modern LLM/Diffusion architectures.

  • Strong fundamentals in algorithms.

  • GPU programming experience (CUDA or OpenCL) is a strong plus.

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 May 9, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Similar Jobs

An Hour Ago
Remote or Hybrid
United States
142K-191K Annually
Senior level
142K-191K Annually
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The Enterprise Data Architect will design and govern data architecture, create enterprise data models, and ensure data consistency across various systems.
Top Skills: DatabricksDynamics 365Microsoft FabricPower BIWorkday
3 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
180K-200K Annually
Senior level
180K-200K Annually
Senior level
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Lead design and implementation of agentic AI workflows and integrations for Acquia DAM. Build, ship, and observe production AI features (auto-tagging, search, governance), set AI engineering standards, evaluate models and tooling, mentor engineers, and represent AI architecture to product and customers.
Top Skills: AWSAzureCi/CdContainerizationCrewaiEmbedding ModelsGCPLangchainLangfuseLanggraphLlamaindexOpencodeOpenspecPydanticPythonRagTemporalVector Databases
3 Hours Ago
Remote or Hybrid
USA
45K-122K Annually
Senior level
45K-122K Annually
Senior level
Machine Learning • Payments • Security • Software • Financial Services
The role involves supporting HR Core Apps and Payroll systems, troubleshooting issues, leading application governance, and ensuring system reliability through monitoring and collaboration with various teams.
Top Skills: BigpandaDynatraceETLJclJIRAOracle Identity ManagerServicenowWorkday

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account