NVIDIA

NVIDIA

Posted via Workday

Senior DL Algorithms Engineer - Inference Performance

Posted Aug 5, 2026

Role at a glance

Salary
$152K – $287.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
3+ years of experience.
Education
PhD in CS, EE or CSEE or equivalent experience.

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Role Summary

AI-generated

The Senior DL Algorithms Engineer will optimize state-of-the-art open models such as Nemotron and Cosmos on NVIDIA’s accelerated inference software stack. The role spans GPU architecture, deep learning frameworks, and inference software, contributing to performance improvements and the hardware and software roadmap.

What You'll Do

  • Enable and optimize state-of-the-art open models on NVIDIA’s accelerated inference software stack.
  • Contribute new features, fix bugs, and deliver production code to open-source frameworks including TRT-LLM, vLLM, SGLang, and FlashInfer.
  • Profile and analyze bottlenecks across the full inference stack to improve inference performance.
  • Benchmark state-of-the-art offerings and perform competitive analysis for NVIDIA’s software and hardware stack.
  • Co-design with partner teams to develop the next generation of AI models and services.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Deep learning and neural networks, particularly inference; performance profiling, analysis, and optimization for GPU-based applications; PyTorch or equivalent AI frameworks or HPC-heavy application development; computer architecture and GPU architecture fundamentals.

Required

  • Deep learning and neural networks, particularly inference
  • Performance profiling, analysis, and optimization for GPU-based applications
  • PyTorch or equivalent frameworks for AI, or HPC-heavy application development
  • Computer architecture and GPU architecture fundamentals

Preferred

  • Processor and system-level performance optimization
  • Modern LLM/Diffusion architectures
  • Algorithms
  • GPU programming with CUDA or OpenCL

Original job description

Content provided by the employer

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.