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Senior DL Algorithms Engineer - Inference Performance

NVIDIA
  • Us, California
    30+ days ago

    Job Description

    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.

    Numbers & Facts

    LocationUs, California
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1993
    Websitehttp://www.nvidia.com

    About Company

    Visualize your future . . . We Do
    NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

    Skills

    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Benchmarkingunmatched
    • CUDA (Compute Unified Device Architecture)unmatched
    • Competitive Analysis/Strategyunmatched
    • Computer Architectureunmatched
    • Deep Learningunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Open Sourceunmatched
    • OpenCLunmatched
    • Performance Analysisunmatched
    • Performance Tuning/Optimizationunmatched

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