Software Development Engineer in Test

NVIDIA's Silicon Co-Design Group is seeking a Software Development Engineer in Test to design and implement automated testing and verification frameworks for their microservices-based software infrastructure. The role involves creating reusable libraries and CI-integrated systems to validate complex workflows, while collaborating with developers to enhance testing efficiency and coverage.

Responsibilities:

• Architect, deploy, and operate automated test frameworks for distributed systems
• Develop integration, regression, and performance test suites for REST APIs, gRPC services, and event-driven components
• Compose CI/CD pipeline tools that verify functionality, reliability, and service interactions across environments
• Collaborate with developers to define microservice test strategies, fault-injection scenarios, and resilience testing
• Triage test results, root cause test failures, or perf drops and drive fixes through bugs
• Drive continuous improvement of automation coverage, observability, and testing efficiency

Requirements:

• BS/MS in CS, EE, or equivalent experience, with 5+ years in test automation, infrastructure validation, or distributed system development
• Strong programming skills in Python for building automated testing tools
• Proven understanding of microservices communication patterns (REST, gRPC, message queues)
• Experience with CI/CD tools such as GitLab CI, Jenkins, or comparable systems
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes)
• Excellent problem-solving, debugging, and collaboration skills across multi-functional teams
• Experience developing or testing microservices built with FastAPI or similar high-performance web frameworks
• Experience using AI tools (e.g., Cursor, Copilot) in automation development
• Passion for improving system reliability and performance through automation and data-driven validation
• Experience leveraging AI tools or large language models (LLMs) to enhance productivity, automate workflows, or improve data-driven decision-making