Senior Software Engineer – Distributed Test Platform
NVIDIA
India, BengaluruPosted 4 months ago
Skill Required
Platform EngineerSoftware EngineerSoftware DeveloperSystem DesignDesign PatternsDeep LearningMicroservicesEngineeringJavaScriptTypeScriptKubernetesFastAPIMongoDBTestNGPythondesignC++RedisAgileCloudPerlAPIsAIFulltime
Key highlights
- 4+ years of experience required
- Hybrid work arrangement (#LI-Hybrid)
- MS (preferred), BS, or equivalent experience in Computer Science/Engineering
- Scale: systems run millions of tests per day across thousands of heterogeneous servers
- Build microservices accessible to AI agents
Role overview
NVIDIA is seeking a software engineer to craft and implement APIs and services that support the execution of workflows validating the design of NVIDIA's chips. The systems developed will operate at a large scale, running millions of tests per day in a distributed cloud computing environment with thousands of heterogeneous servers to verify multiple designs in many configurations. This is a role on a proactive software development team with high production quality standards, focused on continuous innovation of scalable, reliable, high-performance systems and tools to enable the next generation of chips.
Responsibilities
- Build microservices that are reliable, scalable, maintainable, and accessible to AI agents.
- Improve current systems to enhance resource scheduling, optimize performance, increase reliability, and deliver higher throughput.
- Develop streamlined, reliable interfaces optimized for usability and scalability across thousands of engineering users.
- Join an agile and proactive software development team with very high production quality standards.
- Participate in the full life-cycle of tool development, test, and deployment.
- Partner with internal customers to analyze workflows and system environments, delivering solutions optimized for their specific requirements.
- Play a key role in enhancing product quality and development efficiency of NVIDIA's next-generation chips.
Requirements
- Excellent software engineering skills, including applied knowledge of OOP, design patterns, distributed systems, multiprogramming, and microservices.
- Skilled in Python and common service (FastAPI) and/or multiprogramming-related (asyncio) packages.
- MS (preferred), BS, or equivalent experience in Computer Science/Engineering.
- 4+ years of experience.
- Excellent planning, presentation, and general communication skills.
- The flexibility and adaptability to work in an exciting environment with changing requirements.
- Experience with distributed container orchestration systems like Kubernetes.
Nice to have
- Experience developing and deploying automated distributed testing infrastructure.
- Familiarity with EDA or related chip design and verification workflows.
- A passion for improving the productivity and efficiency of other engineers.
- Experience with noSQL database technologies like Redis and MongoDB.
- Expertise in JavaScript, TypeScript, Perl, or C/C++.
Additional details
- NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing.
- Nvidia is a 'learning machine' that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world.
- This is our life's work to amplify human imagination and intelligence.
- #LI-Hybrid