Senior System Software Engineer - Windows DevOps and Test Labs

Develop, deploy, and sustain reliable infrastructure to efficiently run various AI workloads through different inference backends like WinML, Direct ML, TRT-RTX, and others.

Scope out the requirements for deploying various AI applications, benchmarks and models in automation, and develop solutions to measure accuracy, functionality and performance.

Develop Infrastructure to download AI models from various sources and efficiently handle a local repository, create an automated synchronization mechanism to keep repository up to date.

Analyze large datasets to derive insights and design visualizations, implement data processing engines to transform raw data into a more usable format for developers to review.

Collaborate with internal WinAI developers to identify and implement features in automation that help them quickly debug/isolate issues.

Understand existing infrastructure and debug issues in current frameworks. Identify performance bottlenecks and devise solutions to enhance efficiency.

Build, implement, and maintain robust continuous integration and continuous delivery workflows for automated build and deployment.

B.Tech or higher degree in Computer Science, Information Technology, Software engineering, or related field.

5+ years of experience.

Strong analytical and problem-solving abilities, with the capacity to multitask optimally in a multifaceted environment.

Confirmed experience as a developer includes at least 4 years of proficiency in application development using C#, Java, or another programming language. You should also have exposure to at least one scripting language such as Python, Perl, or PHP.

Familiarity with databases and SQL and experience working with source control systems, CI/CD pipelines (Git, Perforce, Jenkins) , .

Outstanding written and oral communication skills, enabling effective collaboration with management and engineering teams.