Staff Engineer - AI Orchestration

Job description

## **Company:** Qualcomm India Private Limited ## **Job Area:** Engineering Group, Engineering Group > Software Engineering **General Summary:** As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drive digital transformation toward a smarter, more connected future. As a **Staff Software Engineer in the Machine Learning Group** , you will design and build high-performance, scalable software systems that enable efficient execution of state-of-the-art machine learning and generative AI workloads on **Snapdragon platforms for Windows and Linux** . This role focuses on the development of the **Qualcomm Orchestrator SDK** and associated tooling, enabling AI orchestration, agentic workflows, and optimized inference across heterogeneous compute resources (CPU, GPU, NPU, DSP). You will act as a senior technical contributor with ownership over architecture, platform enablement, and cross-team technical execution. **Minimum Qualifications:** - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. - 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Key Responsibilities - Design, develop, and maintain **AI orchestration frameworks, runtime engines, and SDK tools** for Windows and Linux platforms. - Enable execution of **modern ML and GenAI workloads** , including multi-model and agentic workflows, on Snapdragon-based systems. - Architect and implement **workflow scheduling, execution graphs, resource management, and model coordination** across heterogeneous hardware. - Drive SDK feature development, platform enablement, and performance improvements for **Windows and Linux** . - Optimize ML inference pipelines for **latency, throughput, memory efficiency, and power consumption** . - Collaborate closely with AI software, platform, hardware, and tools teams to deliver end-to-end solutions. - Define and influence **SDK architecture, public APIs, and developer-facing interfaces** . - Provide technical leadership through design reviews, code reviews, and mentorship of other engineers. - Make high-impact technical decisions affecting multiple projects and stakeholders. Minimum Qualifications - **8+ years of industry experience** in software engineering. - **5+ years of system-level software development** on **Linux and/or Windows** platforms. - Strong proficiency in **C/C++** for production-quality, performance-critical software. - Solid understanding of **data structures, algorithms, and modern software design principles** . - Experience with **Windows system and application development** , including: - Build systems and toolchains - DLLs and shared libraries - Application, framework, and runtime integration within the Windows stack - Ability to work independently with minimal supervision in complex and ambiguous problem spaces. - Strong verbal and written communication skills, with the ability to convey complex technical concepts to engineers and senior stakeholders. Preferred Qualifications **Platform & Systems Expertise** - **Windows OS development** : 5+ years of experience in Windows system software, core OS applications, framework integration, or low-level platform components. - Strong experience developing **cross-platform software for Windows and Linux** using C/C++. - Expertise with **build and packaging systems** such as CMake, Ninja, Bazel, and MSBuild. - Experience with **runtime systems** , plugin architectures, and modular SDK design. **Machine Learning & GenAI Systems** - Hands-on experience deploying and orchestrating **LLMs, LMMs, LVMs** , and **LoRA-based adaptations** . - Experience with **ML inference and runtime frameworks** , such as: - SNPE, QNN, LiteRT, ExecuTorch, MLIR, ONNX Runtime - Understanding of **model graph execution, runtime optimization, and scheduling** . - Familiarity with **model optimization techniques** including quantization, pruning, and graph transformations. **Performance & Hardware Acceleration** - Experience optimizing software for **heterogeneous compute architectures** (CPU, GPU, NPU, DSP). - Strong understanding of **parallelism, memory management, and low-latency system design** . - Exposure to GPU or accelerator programming concepts and performance analysis tools. **Software Engineering Excellence** - Experience using **Python and/or Java** for tooling, automation, testing, or orchestration layers. - Knowledge of **CI/CD pipelines** , automated testing, and release engineering for SDKs. - Advanced debugging skills across system, runtime, and application layers. - Understanding of **secure software development practices** , ABI/API stability, and backward compatibility. **Data & Infrastructure** - Experience with **data storage and retrieval systems** , including: - Vector databases (Faiss or similar) - SQLite, MongoDB, and other NoSQL solutions - Familiarity with **logging, telemetry, and observability** in large-scale systems. **Leadership & Technical Depth** - Demonstrated ability to contribute to **commercial-grade software architecture and long-term platform strategy** . - Up-to-date knowledge of trends in: - Agentic AI systems - Generative AI/ML inference - ML systems and runtime optimization - Strong ownership, self-motivation, and ability to lead through influence rather than authority. Education Requirements **Required** - Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. **Preferred** - Advanced degree (Maste