Senior Software Engineer, Agentic Engineering

🕒 June 30

🏄 California – Remote

🏄 California – 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 26%

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 a deep, shared understanding with NVIDIA's early-adopter engineering teams • Identify friction points where agentic workflows would have the highest impact • Iterate with engineering teams on proof points to validate or revise plans • Distinguish durable architectural opportunities from temporary technology hype • Agent-ify compiler infrastructure to enable autonomous agents to make high-dimensional optimizations • Build closed-loop validation on real hardware • Develop multi-agent orchestration using LLM-native tooling or frameworks such as LangChain and LangGraph • Drive autonomous loops that apply changes, measure results, and repeat • Integrate agentic systems into git-native workflows and CI pipelines • Enable agents to build, test, and iterate against real GPUs • Contribute to cross-organization collaborative groups sharing reusable agentic methodology • Help the broader organization adopt effective approaches

🎯 Requirements

• MS in Computer Science, Engineering, or equivalent experience • 6+ years of experience • Strong Python development skills • Working knowledge of GPUs or other highly data-parallel systems • Demonstrated projects or work experience using and supporting AI systems • Track record of shipping complex projects with minimal direction, including raising challenges or syncing at the right moments • Experience building tools or systems shaped by direct partnership with internal customer or user teams • Examples of leading technical work through changing requirements and revising direction when evidence demands it • Experience in multi-agent orchestration frameworks (e.g., LangChain, LangGraph) or LLM-based workflow automation, compiler infrastructure, intermediate representations, or program transformation, autonomous search or optimization over high-dimensional parameter spaces, hardware-aware performance optimization for deep learning workloads, code generation systems, or domain-specific languages (DSLs) • Passion for following the evolution of ML hardware and staying up to date on emerging kernel programming techniques • Experience building evaluation or testing harnesses, especially for ML systems or multi-agent workflows • Track record of building internal tools or frameworks that force-multiply engineering teams • Demonstrated ability to thrive in ambiguous, self-directed environments while remaining humble: communicating with clarity, actively listening, and finding ground truth

🏖️ Benefits

• Equity • Benefits