Senior System Software Engineer, Agentic Retrieval

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Washington, +1 more states – Remote

🏄 California – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop and optimize Rust-based data processing frameworks for large datasets on GPU-accelerated environments supporting LLM training • Lead development and iterative optimization of Agentic Retrieval pipeline components, including GPU acceleration and model performance optimization • Collaborate with LLM and ML researchers on full-stack, GPU-accelerated data preparation pipelines for multimodal models • Benchmark, profile, and optimize algorithms in Python across system architectures for LLM applications • Understand requirements, build and evaluate proofs of concept, and develop roadmaps for production tools and library features • Build products improving employee productivity through generative AI and copilot experiences • Develop integrated systems enabling unified experiences across applications and end-to-end user insights • Help build and maintain Continuous Delivery pipelines to move changes to production faster and safer • Provide peer reviews covering performance, scalability, and correctness; contribute to frameworks, standards, and technology adoption

🎯 Requirements

• 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 familiarity with managing cloud infrastructure • Knowledge of MLOps technologies such as Docker-Compose, Containers, Kubernetes, and data center deployments • In-depth hands-on understanding of NLP, LLM, VLM, Generative AI, and Agentic Retrieval workflows • Passion for growth, continuous learning, and sharing findings across the team • Outstanding communication skills for distilling sophisticated topics into understandable, impactful conclusions • Ability to work successfully with multifunctional teams, principals, and architects; coordinate across organizational boundaries and geographies

🏖️ Benefits

• Equity • Benefits