Remotery

Software Engineer, OpenShell

atNVIDIARemoteUS flagUnited StatesFull-timeFull-stack EngineerSeniorLead$184k – $287.5k/year

Posted 4 days ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Stay at the forefront of technology: Monitor the evolution of agentic systems by exploring research related to tool utilization, planning, memory, evaluation, self-improvement, multi-agent workflows, runtime infrastructure, and agent safety/security.

• Connect research with product development: Discover research concepts that can significantly enhance OpenShell and convert them into actionable product initiatives.

• Evaluate and modify: Reproduce and assess effective methods from academic papers, open-source projects, industry efforts, and internal NVIDIA research.

• Develop quick prototypes: Construct practical proof-of-concepts utilizing OpenShell, such as agent harnesses, evaluation loops, self-enhancing workflows, and runtime-native developer experiences.

• Assess systems rigorously: Create evaluation and red-team harnesses that evaluate agent reliability, effectiveness, scalability, safety, security, and developer experience.

• Ensure secure workflows: Assist in designing workflows that prioritize security by default for agents interacting with tools, code, files, credentials, and enterprise systems.

• Collaborate across departments: Work closely with engineering, product, design, research, solutions, and developer teams to transition ideas from prototype to product.


⛳️ Requirements

• Over 8 years of professional experience in research engineering, software development, or a related technical domain.

• MS/PhD in Computer Science, Physics, or a related discipline, or equivalent professional experience.

• A robust background in transforming intricate research into reusable products, tools, demonstrations, benchmarks, or scalable production systems.

• Extensive experience in multiple areas, including LLMs, agent harnesses, multimodal generative models, evaluation frameworks, synthetic data generation, post-training, inference infrastructure/optimization, adversarial ML, or agent safety/security.

• Proven ability to conduct independent technical investigations: review pertinent work, execute experiments, develop a clear perspective, and effectively communicate findings.

• Strong product sensibility with a focus on user experience (UX) and agent experience (AX): tools must be user-friendly for developers and ergonomic for agents.

• Commitment to real-world impact: we aim to translate research into enterprise capabilities, reference implementations, developer workflows, or enhancements to products.

• Exceptional team player with a willingness to collaborate across research, engineering, product, design, solutions, and developer-facing teams.


🏝️ Benefits

• equity

• benefits

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