About The Position

We are seeking a Senior Software Engineer to help build and improve AI Assisted Developer Tools connected through web APIs, IDEs 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.

Requirements

  • B.S. (or equivalent experience) in Computer Science with 10 years of industry experience, or M.S. with 8 years of demonstrated experience.
  • Experience in large-scale user-facing application development using web/cloud services.
  • Familiar with Docker and Container, Infrastructure as Code, AWS.
  • Experience with DevOps including CI/CD, monitoring and alerts.
  • Proficiency in Python.
  • Technical leadership to establish standard processes in the team and help bring in changes to improve product processes.
  • Strong communication and cross-functional communication skills and experience addressing and handling the expectations of both technical and non-technical partners.

Nice To Haves

  • Experience developing using CUDA or other accelerated computing technologies and languages/libraries.
  • Background with GPU optimization, GPU/CPU profiling.
  • Experience implementing web services for developers and end-users using AI-based features.
  • Experience validating and improving the quality of AI generated content.

Responsibilities

  • Work closely with our Product and Design teams to define feature specifications and build the next generation of AI assisted coding and profiling tools and services.
  • Architect, design and develop high-performance, sophisticated, 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.

Benefits

  • equity
  • benefits
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