Teams at MulticoreWare

Lead embedded software development across the full product lifecycle, including requirements analysis, stakeholder coordination, software specifications, traceability, test planning, BSP customization, kernel and peripheral driver development, debugging, and testing. The role requires interpreting schematics and datasheets, developing real-time embedded software, applying quality and coding practices, and supporting embedded products in a manufacturing environment. Experience with Linux, RTOS, Android, hardware debugging, and test engineering is required.

Lead the implementation, optimization, and delivery of machine learning, computer vision, and numeric libraries across heterogeneous hardware architectures. Own technical execution, quality, timelines, and customer outcomes while mentoring engineers in low-level optimization, parallel programming, vectorization, profiling, debugging, benchmarking, and performance tuning. Collaborate with customers and stakeholders to identify performance requirements and bottlenecks, make technical decisions, and deliver high-performance software solutions.

Develop and optimize deep learning models for efficient inference across CPUs, GPUs, accelerators, and edge devices. Implement quantization algorithms, model compression, and high-performance C++ kernels. Optimize transformer, LLM, MoE, and PEFT workloads for latency, throughput, and memory usage. Profile and benchmark models across hardware platforms, translate research into production solutions, and collaborate with machine learning, compiler, and hardware teams.