Senior Deep Learning Software Engineer, Inference

Santa Clara, California, United States

• Category: Software Engineering

Description

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NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance deep learning frameworks, including Slang and vellum, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models.

You’ll work closely with the deep learning community to implement the latest algorithms for public release in frameworks like Slang and vellum, as well as other DL frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines.

What you'll be doing:

• Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI.

• Scale performance of DL models across different architectures and types of NVIDIA accelerators.

• Contribute features and code to NVIDIA’s inference libraries, vellum and Slang, Flash Infer and LLM software solutions.

• Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions.

What we need to see:

• Master's or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).

• 5+ years of relevant software development experience.

• Excellent C/C++ programming and software design skills. SW Agile skills are helpful, and Python experience is a plus.

• Prior experience with training, deploying or optimizing the inference of DL models in production is a plus.

• Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.

Ways to stand out from the crowd:

• Contribute to Deep Learning Software projects, such as Porch, vellum, and Slang to drive advancements in the field.

• Experience with Multi-GPU Communications (NCCL, NVSHMEM)

• Experience building and shipping products to enterprise customers. 

• GPU programming experience (CUDA, OAI TRITON or CUTLASS).

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

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.

Company

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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.