Senior System Software Engineer - Local AI Automation

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About the role

The Local AI Automation team is seeking a Senior System Software Engineer passionate about building and maintaining robust system-level software and infrastructure for deploying, benchmarking, and qualifying high-quality AI applications and models. You will collaborate with a team of highly qualified engineers dedicated to creating top-tier infrastructure for Local AI automation. If you have a real passion for building reliable, scalable automation systems in the AI ecosystem, this could be an excellent opportunity for us to work together! What you'll be doing: • 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. • 5+ years of software development experience with strong programming skills in C/C++, C#, Java, or another systems programming language, along with exposure to at least one scripting language such as Python. • Experience with system APIs, multithreaded software, process and resource management, debugging, or performance analysis. • Familiarity with databases and SQL, source control systems, and CI/CD infrastructure such as Git, Perforce, and Jenkins. • Outstanding written and oral communication skills, enabling effective collaboration with management and engineering teams. Ways to stand out from the crowd: • Experience building robust system software, runtime infrastructure, or scalable backend components. • Experience with system profiling, performance optimization, debugging, and telemetry/observability infrastructure, including analysis of Nsight Systems traces to understand system state and kernel performance. • Hands-on background with Linux/Windows system programming, Git CI/CD, databases/SQL, Kubernetes, Docker, and observability tools such as Grafana or Kibana. • Hands-on experience integrating or debugging inference frameworks such as Llama.cpp, Ollama, PyTorch, vLLM, WinML, or TRT-RTX. • Experience understanding CPU/GPU resource utilization, memory management, concurrency, and performance characteristics of AI workloads. We are an equal-opportunity employer and value diversity at our company. With competitive salaries and a generous benefits package, we are widely cons

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