Senior Software Engineer, Platform Engineering

Details

NVIDIA is seeking a deeply technical, creative, and hands-on Senior Full-Stack Software Engineer to build next-generation AI platforms and products that improve business efficiency and productivity. The role involves developing AI products using retrieval-augmented generation (RAG), agentic AI paradigms, third-party platforms, and open-source repositories. The engineer will help shape the architecture, development, and scaling of software systems while collaborating with Cloud, AI/ML, and Generative AI teams in a multifaceted and agile environment.

Responsibilities

• Apply hands-on experience with test automation, production testing, and automation frameworks.
• Work with Linux, embedded systems, firmware, and hardware/software integration.
• Apply IT Service Management (ITSM) expertise and work with ServiceNow, preferably including the HR, Security, and Finance modules.
• Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications.
• Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions.
• Architect and build agentic AI systems that use large language models (LLMs) for reasoning, planning, and tool orchestration across enterprise workflows.
• Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning.
• Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years of experience building large-scale distributed systems and cloud-native applications; Python is preferred.
• Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures.
• Deep understanding of agentic AI paradigms, including planning, memory, tool invocation, and multi-step reasoning.
• Experience with agent frameworks and orchestration tools such as LangChain or similar technologies.
• Proven ability to design systems with high reliability, scalability, and performance.
• Hands-on experience deploying applications in Kubernetes environments.
• Experience building systems in cloud and hybrid environments.
• Strong programming skills across multiple languages and modern software stacks.
• Proven track record leading complex technical initiatives and mentoring high-performing teams.

Preferred Qualifications

• Experience enhancing enterprise efficiency and employee experience through Generative AI solutions.
• Resilience and persistence when solving unique and difficult problems.
• Experience with cloud platforms, Kubernetes, and Docker.
• Self-motivation and a drive to complete projects.

Benefits

• Equity eligibility.
• Employee benefits.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Compensation

The base salary is determined by location, experience, and the pay of employees in similar positions. The base salary range is USD 168,000–270,250 for Level 4 and USD 200,000–322,000 for Level 5. Applications will be accepted at least until October 9, 2026.