performance-profiling jobs in San Diego

As a Machine Learning Application Developer, you will develop and optimize neural rendering applications and ML software for efficient AI execution on Samsung's mobile GPUs. Working with hardware and software teams, you'll optimize performance and resource utilization by developing API-level software, ML operator implementations (GEMM, convolution, activations), and conducting low-level performance analysis.…See more The role requires strong C/C++/Python skills, proficiency with Vulkan/OpenGL/OpenCL, hands-on neural rendering experience, and deep understanding of GPU architecture and performance optimization techniques.

Design, implement, and optimize video processing and computer vision algorithms for mobile and embedded platforms at scale, from concept through production deployment. Profile and optimize algorithm performance across memory, compute, power, and bandwidth constraints on SoCs with embedded accelerators.…See more Lead system and algorithm-level architecture, collaborate with cross-functional hardware and software teams, and provide technical mentorship to engineers across experience levels.

Senior Staff Windows Developer role focused on debugger development for Windows on Snapdragon products. You will design and develop key features across the Windows-on-Snapdragon platform, coordinate with internal and external teams to triage and resolve chipset issues, and leverage strong C/C++ and embedded systems expertise.…See more The role requires deep knowledge of Windows/Linux kernel internals, ARM architecture, device drivers, and debugger tools like WinDbg and JTAG, with 6+ years of software engineering experience.

You will develop and implement machine learning techniques for Qualcomm's AI Software Platform, focusing on the QAIRT SDK and Genie generative AI inference extensions. Responsibilities include building in-house software tools and evaluating third-party AI toolchains/compilers, performing system-level performance and memory profiling across multiple OS platforms (Android, Linux, QNX, Windows, Zephyr), validating ML model accuracy, and debugging complex issues.…See more You'll collaborate with cross-functional teams on AI software toolchains and contribute to an embedded AI stack supporting edge-AI use cases on Snapdragon SoCs.

Qualcomm is seeking an AI Performance Engineer to optimize and deploy machine learning models for inference acceleration on cloud AI hardware. The role involves converting and optimizing language models, vision models, and diffusion models using PyTorch and ONNX, analyzing performance bottlenecks, and designing efficient kernels in Triton.…See more You will collaborate with compiler, firmware, and platform teams to map next-generation AI workloads onto hardware, working across the full product lifecycle from research to commercial deployment. The position requires deep expertise in transformer architectures, inference optimization techniques, computer architecture, ML accelerators, and distributed systems.

As a Senior Systems Engineer for Data Center AI at Qualcomm, you will research, develop, optimize, and validate AI/ML solutions that integrate Qualcomm's hardware accelerators with software and ecosystem to deliver high-performance inference in datacenter environments. You will design and deploy Gen AI and LLM applications, implement fine-tuning and distillation techniques, perform model benchmarking, and drive system-level architecture decisions.…See more You will collaborate across functional teams to meet system-level requirements while staying current with advances in AI/ML models and hardware. Required skills include strong Python proficiency, expertise in ML frameworks (PyTorch, TensorFlow), deep understanding of ML deployment and system performance profiling, and experience with parallel computing.

Senior Staff Software Engineer responsible for designing and optimizing the server-side JavaScript execution engine at the heart of the ServiceNow platform. The role requires deep expertise in compiler and runtime systems, including JIT/AOT compilation pipelines, memory management, and performance optimization at scale.…See more You will work across the full software lifecycle from design through delivery, mentor colleagues on systems engineering and performance profiling, and own technical decisions with material risk across multiple projects and teams.

Design, develop, and optimize embedded software stacks for complex SoCs with multiple core types, memory hierarchies, and bus infrastructure at Qualcomm. Lead architectural decisions for Edge AI and multimedia use cases, balancing performance and power efficiency while creating SDKs for customer development.…See more Collaborate with systems, hardware, and test engineers to define software architecture and drive optimization for ARM CPU and NPU acceleration. Requires 6+ years of software engineering experience (or 5+ with a Master's degree, 4+ with a PhD) and 3+ years with languages like C, C++, Java, or Python.