Software Engineer, OpenShell

🕒 vor 1 Tag

🇺🇸 Vereinigte Staaten – Remote

💵 $184.000 - $287.500 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

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NVIDIA

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10.000+ Mitarbeiter

Gegründet 1993

🏥 Gesundheitswesen

🏭 Fertigung

🤖 Künstliche Intelligenz

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA ist ein führendes Technologieunternehmen mit Spezialisierung auf beschleunigtes Computing und Künstliche Intelligenz (AI). NVIDIA treibt Fortschritte bei Grafikprozessoren (GPUs), Cloud Computing, Rechenzentren und Virtual Reality voran und fokussiert dabei Branchen wie Gaming, Automotive, Gesundheitswesen und Robotik. Innovationen des Unternehmens wie NVIDIA Omniverse transformieren traditionelle digitale Prozesse, indem sie hochrealistische Simulationen und Rendering-Aufgaben ermöglichen. Die Anwendungen erstrecken sich über zahlreiche Branchen – von autonomen Fahrzeugen mit NVIDIA DRIVE über Gesundheitslösungen mit NVIDIA Clara bis hin zu AI-gestützten Analysen und Workflows.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• Eligible for equity and benefits