Software Engineer, OpenShell

🕒 il y a 6 jours

🇺🇸 États-Unis – Télétravail

💵 $184 000 - $287 500 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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NVIDIA

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1993

🏥 Santé

🏭 Fabrication

🤖 Intelligence artificielle

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• Eligible for equity and benefits