146 applicants

Company

Original Job Post

NVIDIA · 3 days ago

System Software Engineer - RAG

Washington, United States

Full-time

Remote

Senior Level

$180K/yr - $339K/yr

6+ years exp

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Artificial Intelligence (AI)GPU

H1B Sponsorship

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Responsibilities

Develop and optimize Python-based data processing frameworks, ensuring efficient handling of large datasets on GPU-accelerated environments, vital for LLM training.

Contribute to the design and implementation of RAPIDS and other GPU-accelerated libraries, focusing on seamless integration and performance enhancement in the context of LLM training data preparation and RAG pipelines.

Lead development and iterative optimization of components for RAG pipelines, ensuring they demonstrate GPU acceleration & the best performing models for improved TCO.

Collaborate with teams of LLM & ML researchers in the development of full-stack, GPU-accelerated data preparation pipelines for multimodal models Implement benchmarking, profiling, and optimization of innovative algorithms in Python in various system architectures, specifically targeting LLM applications.

Work closely with complementary teams to understand requirements, build & evaluate POCs, and develop roadmaps for production level tools and library features within the growing LLM ecosystem.

Build amazing products to improve employee productivity using Gen-AI & Co-pilot experiences!

Collaborate with your peers to craft, develop, test, and maintain integrated applications and features.

Develop integrated systems enabling unified experience across applications and driving insights for end-to-end user experience.

Help build and maintain our Continuous Delivery pipeline with the goal of moving changes to production faster and safer, while ensuring key operational standards.

Provide peer reviews to other specialists including feedback on performance, scalability, and correctness.

Actively contribute to the adoption of frameworks, standards, and new technologies

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Python programmingDeep learning frameworksPytorchCloud infrastructureMlops technologiesDocker-composeContainersKubernetesData center deploymentsNlpLlmMllmGenerative aiRag workflowsProblem-solvingHard-workingSelf-starterPassion for growthEnthusiasm for continuous learningHighly passionateCurious about new technologiesOutstanding communication skills work successfully with multi-functional teamsCoordinates optimally across organizational boundaries

Required

Bachelor’s or Master’s Degree program in Computer Science, Computer Engineering, or a related field (or equivalent experience)

6+ years of demonstrated experience in a similar or related role

Python programming expertise with Deep Learning (DL) frameworks such as PyTorch

Experience delivering software in a cloud context and is familiar with the patterns and process of handling cloud infrastructure

Knowledge of MLOps technologies such as Docker-Compose, Containers, Kubernetes, data center deployments etc.

Excellent in-depth hands-on understanding of NLP, LLM, MLLM, Generative AI, and RAG workflows

Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across the team

Extremely motivated, highly passionate, and curious about new technologies

Outstanding communication skills for distilling sophisticated topics down to understandable, impactful conclusions as well as the ability to work successfully with multi-functional teams, principals, and architects. Coordinates optimally across organizational boundaries and geographies

Benefits

Equity

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

H1B Sponsorship

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2020 (534)