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# System Software Engineer

- **Company:** Gulp-It! Inc.
- **Location:** Redmond, United States (Remote available)
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Cloud Engineering, Computer Engineering, Continuous Delivery, Data Centers, Data Cleansing, Python (Programming Language), Microsoft Copilot, Systems Architecture, System Software, Large Language Models, Generative AI, Agentic-AI, Kubernetes, Information Technology, Integration Frameworks, Machine Learning Operations, Docker
- **Published:** October 2, 2026
- **Apply:** https://startup.jobs/senior-system-software-engineer-agentic-retrieval-2100-nvidia-usa-10275379

## About the Role

* Bachelor's or Master's Degree program in Computer Science, Computer Engineering, or a related field (or equivalent experience).
 * 6+ years of experience in a similar or related role
 * Experience delivering software in a cloud context and is familiar with the patterns and process of managing 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, VLM, Generative AI, and Agentic Retrieval workflows
 * Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across the team
 * Outstanding communication skills for distilling sophisticated topics down to understandable, impactful conclusions..
 * Ability to work successfully with multi-functional teams, principals, and architects. Coordinates optimally across organizational boundaries and geographies.

If you are passionate about technology, have a proven track record in system software engineering, and are eager to make a significant impact in the industry, we would love to hear from you. Join us at NVIDIA and help us craft the future of visual computing!

## Description

* Develop and optimize Rust-based data processing frameworks, ensuring efficient handling of large datasets on GPU-accelerated environments, vital for LLM training.
 * Lead development and iterative optimization of components for Agentic Retrieval 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 diverse 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!
 * 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 and actively contribute to the adoption of frameworks, standards, and new technologies