About the job
We are seeking a Senior Software Engineer to help build and improve AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents. Apply your expertise with delivering user-focused cloud products that enable both rapid prototyping and the next generation of highly automated AI assisted CUDA development, from coding to profiling and performance fine-tuning.
In this role, you will architect cloud solutions that leverage NVIDIA microservices and frameworks as well as ground-breaking AI applications and research to integrate deeply with developers’ work flows, accelerate the full product lifecycle of plan, code, test, debug, profile and fine-tuning.
Responsibilities
Work closely with our Product and Design teams to define feature specifications and build the next generation of AI assisted coding and profiling services and skills.
Architect, design and develop high-performance, and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency.
Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services.
Mentor engineers and review code and design.
Qualifications
Minimum
B.S. (or equivalent experience) in Computer Science with 8 years of industry experience.
Experience in large-scale user-facing application development using web/cloud services.
Familiar with Kubernetes, Infrastructure as Code, AWS.
Experience with DevOps including CI/CD, monitoring and alerts.
Proficiency in Python.
Strong communication skills to collaborate with cross-functional partners.
Familiar with either Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling, benchmark performance in a consistent and repeatable way.
Preferred
Experience writing CUDA code and optimizing CUDA kernels.
Experience with Kata Container or any other VM-based container runtime.