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Tier-1 employer plus metro location increase competition, but senior, specialized role limits broad applicant pool.
Role requires deep systems and ML inference expertise tied to hardware, reducing cross-industry transferability.
Explicit 8+ years, system-level C/C++ and ML runtime requirements create strict candidate filters.
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Own design and development of AI orchestration frameworks, runtime engines, and SDK tools for Snapdragon platforms on Windows and Linux.
Architect and implement workflow scheduling, resource management, and model coordination across heterogeneous hardware (CPU, GPU, NPU, DSP).
Lead SDK feature development, platform enablement, and performance optimization for ML inference pipelines focusing on latency, throughput, memory, and power consumption.
8+ years of industry software engineering experience.
5+ years of system-level software development on Linux and/or Windows platforms.
Strong proficiency in C/C++ for performance-critical production software.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field (advanced degree preferred).
Experienced in Windows OS development including system software, framework integration, and build systems like CMake, Ninja, MSBuild.
Skilled in cross-platform software development for Windows and Linux with deep knowledge of runtime systems, SDK design, and ML inference frameworks (e.g., SNPE, ONNX Runtime).
Capable of leading technical decisions and architecture for commercial-grade AI orchestration platforms, focusing on heterogeneous hardware acceleration and modern ML/GenAI workloads.