Senior System Software Engineer - Local AI Automation

Responsibilities

• Design, implement, and maintain robust system software and infrastructure to efficiently run various AI workloads through different inference backends such as Llama.cpp, Ollama, PyTorch, vLLM, WinML, TRT-RTX, and others.
• Scope out system requirements for deploying various AI applications, benchmarks, and models in automation, and develop solutions to measure correctness, functionality, reliability, and overall system performance.
• Develop infrastructure to download AI models from various sources, efficiently manage a local model repository, and create automated synchronization mechanisms to keep the repository up to date.
• Analyze large datasets and system workload metrics, implement data processing infrastructure to transform raw data into actionable information for developers, and design useful visualizations.
• Collaborate with internal Local AI developers to identify and implement system-level instrumentation, diagnostics, and debugging capabilities that help quickly debug and isolate issues.
• Design, implement, and maintain robust infrastructure for automated build, integration, deployment, and qualification across different inference frameworks and environments.
• Understand existing infrastructure and system software architecture, debug issues in current frameworks, identify performance bottlenecks, and devise solutions to enhance system efficiency and scalability.
• What we need to see
• 5+ years of experience with a B.Tech or higher degree in Computer Science, Information Technology, Software Engineering, or a related field.
• Strong analytical, systems debugging, and problem-solving abilities, with the capacity to multitask effectively in a dynamic environment.

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