Software Engineer, OpenShell

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

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 the cutting edge: How are agentic systems evolving? You'll follow research in tool use, planning, memory, evaluation, self-improvement, multi-agent workflows, runtime infrastructure, and agent safety/security. • Bridge research and product: Identify research ideas that can meaningfully improve OpenShell and translate them into concrete product opportunities. • Benchmark and adapt: Reproduce and test promising methods from papers, open-source projects, industry work, and internal NVIDIA research. • Build rapid prototypes: Create hands-on proof-of-concepts using OpenShell, including agent harnesses, evaluation loops, self-improving workflows, and runtime-native developer experiences. • Red-team systems: Design evaluation and red-team harnesses that measure agent reliability, usefulness, scalability, safety, security, and developer experience. • Secure the workflow: Help us design secure-by-default workflows for agents operating with tools, code, files, credentials, and enterprise systems. • Partner across teams: Collaborate closely with engineering, product, design, research, solutions, and developer-facing teams to move ideas from prototype to product.

🎯 Requirements

• 8+ years of professional practical experience in research engineering, software development, or a related technical field • MS/PhD in Computer Science, Physics, or a related field or equivalent experience • A strong background in turning complex research into reusable products, tools, demos, benchmarks, or production systems at scale. • Deep experience in several of the following: LLMs, agent harnesses, multimodal generative models, evaluation frameworks, synthetic data generation, post-training, inference infrastructure/optimization, adversarial ML, or agent safety/security. • Demonstrated ability to drive independent technical investigation: survey relevant work, run experiments, form a clear point of view, and communicate findings clearly. • Strong product sense and care for UX and AX: tools should be intuitive for developers and ergonomic for agents. • A focus on real-world impact: we want research to become enterprise capabilities, reference implementations, developer workflows, or product improvements. • Outstanding team orientation and comfort collaborating across research, engineering, product, design, solutions, and developer-facing teams.

🏖️ Benefits

• equity • benefits