Senior Software Engineer, Agentic AI

🔥 44 minutes ago

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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

• Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem, maintaining current knowledge of both research and commercial products. • Develop open-source libraries and tools which accelerate and optimize agent harnesses and frameworks ensuring top-tier performance, accuracy, quality, and stability. • Benchmark the latest agents to identify bottlenecks and build creative solutions to increase performance, reduce cost, and improve latency. • Work closely with teams building high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows to deliver best-in-class agentic applications. • Identify gaps and friction in current agent architectures, and translate insights into agentic tools that boosts developer velocity and agent quality—backed by evaluations, benchmarking, and feedback loops.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience. • 8+ years experience in at least one of Rust, Python, Go, or Node.js, with working familiarity in at least one more. • Solid understanding of asynchronous programming, callbacks, request lifecycles, and event-driven systems. • Hands-on experience with evolving agent architectures, multiple agents frameworks and agent harnesses. • Proficiency in LLM applications, agent workflows, tool calls, and model-provider APIs. • Ability to design or extend cross-language APIs with attention to consistency, usability, stability, and backwards compatibility. • Systems-level debugging and performance intuition: able to trace execution from high-level API calls through runtime internals, language bindings, callbacks, serialization, and event emission to understand overhead and optimize hot paths. • Strong interpersonal skills, enabling direct contact and effective collaboration with the open source community.

🏖️ Benefits

• Equity • Benefits

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