Senior Software Engineer, Agentic AI

🕒 July 29

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 22%

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

• Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem, maintaining current knowledge of research and commercial products • Develop open-source libraries and tools that accelerate and optimize agent harnesses and frameworks for performance, accuracy, quality, and stability • Benchmark the latest agents to identify bottlenecks and build solutions that increase performance, reduce cost, and improve latency • Collaborate with teams building high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows • Identify gaps and friction in agent architectures and translate insights into agentic tools that improve developer velocity and agent quality • Use evaluations, benchmarking, and feedback loops to support agentic tools and applications • Work directly with a community of creative engineers on autonomous-agent projects

🎯 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 • Experience building evaluation/benchmarking systems for agent workflows (metrics, regression, feedback loops) • Rust systems work, especially async Rust, Tokio, serde, API design, or runtime state management and/or Python native extension experience with PyO3, maturin, or Python/Rust bindings • Instrumenting third-party frameworks without changing user-visible behavior • Knowledge of OpenTelemetry, tracing, structured events, exporters, or observability pipelines is a plus • Middleware, plugin systems, guardrails, policy engines, or request/response interception • Experience maintaining open-source libraries, SDKs, or internal developer platforms • Experience profiling or optimizing runtime/library overhead across language boundaries, async execution, native bindings, serialization, tracing, or middleware pipelines

🏖️ Benefits

• Equity • Benefits