Senior Deep Learning Algorithm Engineer
$184k/y-$356.5k/y
NVIDIAa day ago
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OnsiteFull-timeMid
Summary
NVIDIA is seeking a Senior Deep Learning Algorithm Engineer to join their team in Santa Clara, CA. The role involves optimizing and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs) in production environments.
About the Role
As a Senior Deep Learning Algorithm Engineer, you will focus on optimizing deep learning models for efficient and fast inference across diverse GPU platforms. Your responsibilities will include collaborating with research scientists, software engineers, and hardware specialists to bring cutting-edge AI models from prototype to production, optimizing models for low-latency and high-throughput inference, and ensuring seamless integration of models from training to deployment.
About You
Required:
- Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
- 4+ years of professional experience in deep learning or applied machine learning.
- Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs.
- Deep understanding of transformer architectures, attention mechanisms, and inference bottlenecks.
- Proficient in building and deploying models using PyTorch or TensorFlow in production-grade environments.
- Solid programming skills in Python and C++.
Preferred:
- Proven experience deploying LLMs or VLMs at scale in real-world applications.
- Hands-on experience with model optimization and serving frameworks, such as TensorRT, TensorRT-LLM, vLLM, SGLang.
Benefits
- Base salary range of $184k–$356.5k depending on level and experience.
- Eligibility for equity and benefits.
NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Santa Clara, CA