Senior Staff Software Engineer - Enterprise AI Platform

Details

NVIDIA is hiring a deeply technical, creative, and hands-on Senior Staff full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This role will collaborate with Cloud, AI/ML & Generative AI teams to shape architecture, development, and scaling of software systems used to build enterprise AI applications.

Responsibilities

• Own the end-to-end software lifecycle from concept to deployment: architecture design, development, testing, and scaling.
• Understand and leverage internal micro-services, platforms, third-party platforms and open-source repositories during AI product development.
• Contribute to internal platforms and build reusable components that connect to enterprise data sources to power search, chatbots and other generative AI applications.
• Develop AI applications, platforms and systems enabling unified experience across applications and driving insights for end-to-end user experience.
• Build services supporting Inference, Training jobs, and Ingestion jobs.
• Work with data connectors to build secure AI applications that access structured and unstructured data from various databases at scale.
• Ensure system reliability, performance, and security at scale.
• Help build and maintain Continuous Delivery pipelines to move changes to production faster and safer while ensuring operational standards.
• Create and implement strategies to support business growth and technological advancement.
• Provide peer reviews and feedback on performance, scalability, and correctness.
• Keep abreast of emerging trends and technologies in AI, software development, and system architecture.
• Advocate proven software engineering practices, rigorous testing, continuous delivery, and reduction of technical debt.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years of proven experience building sophisticated applications and APIs in on-prem, cloud and hybrid cloud environments, preferably using Python.
• Proven experience building full-stack applications including UI, backend, and infrastructure.
• Proven expertise delivering performance and reliability in sophisticated distributed systems and leading the teams that build them.
• Strong proficiency across multiple programming languages and technologies relevant to AI and system development.
• Familiarity with generative AI application building and deployments; experience with model deployments (LLMs, embeddings, re-rankers, OCR, etc.).
• Experience deploying applications in Kubernetes clusters, including GPU and CPU pod scheduling and understanding on-prem environments.
• Proven track record leading complex projects and delivering results in fast-paced environments.
• Excellent leadership, problem-solving, analytical, communication and planning skills.

Ways to stand out

• Experience improving enterprise efficiency and employee experience using Generative AI solutions.
• Background with Kubernetes, OpenShift, and MLOps, plus hands-on experience with model deployments (inference, training).
• Strong programming, debugging, performance analysis and test design skills in Python.
• Self-motivation and strong drive to deliver results.

Compensation & Benefits

• Base salary range:
  • Level 4: 168000 USD - 264500 USD
  • Level 5: 200000 USD - 322000 USD
• You will also be eligible for equity and benefits (see NVIDIA benefits page).

Additional information

• Location: Santa Clara, California, United States. #LI-Hybrid
• Applications accepted at least until July 29, 2025.
• NVIDIA is an equal opportunity employer committed to diversity and inclusion.