Research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations.
Responsibilities
Design, develop, troubleshoot and debug software programs for enhancements and new products
Develop software and tools in support of design, infrastructure and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, cloud-based and internet-related tools
Design, build, and improve AI agent evaluation systems within NVIDIA’s NeMo Platform.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents across multiple runtimes and product surfaces
Build reusable systems for observing behavior, measuring progress, detecting regressions, and turning runtime evidence into product decisions
Build systems for ingesting, normalizing, validating, and analyzing agent execution data and evaluation datasets
Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities broadly across NVIDIA agent runtimes and developer workflows
Help turn emerging agent development and improvement techniques into reliable, reusable product capabilities
Requirements
BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field
Nice to have: evaluation workflows for heterogeneous agents
Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents across multiple runtimes and product surfaces; build reusable systems for observing behavior, measuring progress, detecting regressions, and turning runtime evidence into product decisions; partner with research, product, platform, and infrastructure teams to integrate agentic capabilities broadly across NVIDIA agent runtimes and developer workflows; provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Design and implement Python-first APIs, SDK workflows, and plugin interfaces
Build reusable systems for observing behavior, measuring progress, detecting regressions
Build systems for ingesting, normalizing, validating, and analyzing agent execution data and evaluation datasets
Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities
Help turn emerging agent development and improvement techniques into reliable, reusable product capabilities
Requirements
BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field
Nice to have: Experience building, deploying, and iterating on production agentic AI systems where evaluation was used to measure and improve real product outcomes
Nice to have: Experience designing evaluation workflows for heterogeneous agents, including tool-using agents, RAG agents, workflow agents, coding agents, or long-running autonomous systems
Nice to have: Experience integrating evaluation capabilities across multiple products, runtimes, or internal platforms, especially through Python SDKs, plugins, or shared developer tooling
Nice to have: Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency
