android jobs in San Diego

Lead Qualcomm's GenAI transformation for embedded and software engineering, building reusable AI agents, agentic workflows, and developer productivity tools that scale across teams. Partner with platform and engineering teams to establish secure AI practices, governance models, and metrics while serving as a technical thought leader who shapes the organization's transition to AI-native engineering workflows.…See more Requires Principal-level technical leadership with deep expertise in generative AI, LLM-based systems, and hands-on experience deploying GenAI solutions in complex engineering environments. Collaborate on code generation, code review, test automation, and release readiness use cases while driving measurable productivity and quality improvements.

Develop software for the Qualcomm AI Stack SDKs (QAIRT and Genie) to enable execution of generative AI models and large language models on Snapdragon platforms. You will validate, optimize, and debug machine learning inference solutions, collaborating with cross-functional teams on feature development, performance analysis, and system reliability.…See more The role requires expertise in machine learning frameworks, embedded systems optimization, programming languages like Python or C++, and low-level OS/hardware interactions.

Qualcomm seeks an embedded software engineer to design and develop core software frameworks across the Snapdragon processor stack, with focus on AI/ML acceleration, inter-processor communication, memory management, and DSP optimization. You will work on low-level system software powering machine learning inference, computer vision, multimedia, automotive, and IoT applications.…See more The role requires strong C/C++ skills, deep understanding of operating systems, RTOS, multicore architectures, and performance optimization techniques across Linux, Android, and Windows platforms.

Staff Product Manager role owning the global ADAS/Autonomous Driving and Infotainment software product roadmap for Qualcomm's SoC platforms. Responsible for defining product strategy from conception through end-of-life, analyzing business opportunities, driving execution, and leading customer engagements.…See more Requires deep expertise in ADAS/AD software development, platform software (Linux, QNX, BSP), embedded software, middleware, automotive SW development, functional safety, and image/video processing. Will lead engineering discussions at principal-engineer level on BSP, drivers, OS, RTOS, AUTOSAR, ADAS middleware, IVI solutions, AI/ML processing, and functional safety standards, while managing cross-functional stakeholders across product management, engineering, business development, marketing, finance, and sales.

Sr. Staff Software Engineer to design, develop, and optimize embedded software systems for secure government platforms, with emphasis on bootloader-to-application layers.…See more Role requires strong C/C++ and embedded systems expertise (6+ years), experience with platforms like Android, Linux, QNX, and RTOS, and ability to debug complex issues across the full software stack. Responsibilities include system integration, technical documentation, collaboration with test/systems teams, and direct customer engagement at technical exchange meetings. Ideal candidate has deep knowledge of subsystems like modem, BSP, networking, compute/AI, multimedia, or platform security.

Senior Machine Learning Engineer responsible for architecting, designing, developing, and deploying on-device AI prototype software for edge computing applications. The role requires expert-level proficiency in C++ and Python, deep knowledge of ML frameworks like PyTorch, and hands-on experience with low-level system debugging, performance tuning, and native inference driver development.…See more You will work in a multi-disciplinary research team advancing generative AI technology for the edge, including model fine-tuning, hardware acceleration, model quantization, and edge inference. A strong theoretical background in deep learning combined with embedded software development experience and modern software engineering best practices is essential.

Design, implement, and commercialize middleware/driver modules for multimedia on Qualcomm multi-processor chipsets across Windows, Linux, and Android platforms. Work on user and kernel mode software for video compression, playback, streaming, and imaging applications while optimizing for performance, latency, power, and stability.…See more Collaborate with systems engineering, test groups, and partners like Microsoft and Google across multiple sites. Requires 1–5 years of embedded software development, strong C/C++ skills, video compression standards knowledge (H.264, H.265, AV1), and expertise in embedded real-time OS debugging and ARM SoC development.

Design, develop, and execute system-level test solutions for Qualcomm's leading-edge Snapdragon SoCs across mobile, automotive, compute, and server platforms. Responsibilities include early-stage silicon bring-up, post-silicon validation, hardware testing with system software, performance verification across voltage/process/temperature conditions, and creation of automated test content to stress functional, performance, stability, and benchmark aspects.…See more Develop production screens for system-level issues and partner with engineering teams to create effective test plans and sequencing. Requires 0–3 years of system or bench-level testing experience, strong understanding of computer architecture and operating systems, embedded systems and SoC concepts, and programming skills in C, C++, Python, C#, or .NET.

Qualcomm seeks a Systems Software Power Engineer to optimize power efficiency for next-generation Snapdragon SoCs. The role spans the full lifecycle from pre-silicon modeling through post-silicon debug, requiring expertise in power architectures, control loops, and low-power techniques across hardware and software layers.…See more Key responsibilities include driving end-to-end power optimization across architecture, firmware, kernel, and Android teams; prototyping and evaluating power features; executing post-silicon power KPI validation; and developing power debug and analysis infrastructure. The position demands strong embedded software skills with hands-on experience in firmware and Linux kernel development, plus solid understanding of computer architecture, memory hierarchies, CPU/GPU design, and OS fundamentals.

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.

Staff engineer leading architecture and evolution of Qualcomm's Ambient Perception Platform for always-on, context-aware AI on power-constrained edge devices. Responsibilities include designing low-power AI runtime platforms, multimodal sensing systems, secure data architectures, and heterogeneous computing frameworks across Android, Linux, Windows, XR, automotive, and IoT.…See more Requires 4+ years software engineering experience (or equivalent with advanced degree), 2+ years with C, C++, Java, or Python, and expertise in embedded systems, ARM/DSP/NPU optimization, and edge AI workload efficiency. Strong preference for 8–12+ years in software architecture, platform frameworks, and heterogeneous SoC development.

Staff-level software engineer developing power and limits management firmware for Qualcomm SoCs across multiple subsystems. Responsibilities include designing and optimizing software for power efficiency, analyzing execution performance, developing profiling and debugging tools, and coordinating with system, power, hardware, and software teams from pre-silicon through commercialization.…See more The role requires deep expertise in embedded systems, real-time operating systems, and low-level optimization across ARM architectures, with exposure to machine learning applications on silicon data sets and integration with Android HLOS.

Staff-level embedded software engineer responsible for designing and developing AI, GenAI, and multimedia SDKs/frameworks for IoT edge devices (drones, cameras, AI boxes, appliances). The role requires architecting high-performance inference pipelines, multi-stream AI processing, and GStreamer-based plugins for Qualcomm hardware platforms.…See more Must have 5+ years of C/C++ experience in embedded systems, strong knowledge of AI inference frameworks (PyTorch, TensorFlow, ONNX Runtime, LiteRT), GenAI orchestration tools (LangChain, LlamaIndex), and multimedia/HAL integration across Android, Tizen, and Linux. Ownership spans architecture, design, implementation, and deployment of production-quality SDK components.

Design, develop, and expand an SDK and Demo App ecosystem for identity document scanning hardware, architecting core APIs that embed image processing, advanced calibration algorithms, and data capture libraries (OCR & barcode decoding). Optimize low-latency image pre-processing pipelines, integrate third-party recognition libraries, and port the SDK across multi-device and networked environments (Linux, embedded systems, tablets, edge devices).…See more Work closely with firmware engineers on device communication protocols (USB, Serial, PC/SC) and write technical documentation for global B2B clients. The role requires 3–5+ years of professional C++ and C#/.NET development with hands-on computer vision (OpenCV), embedded systems knowledge, and strong technical communication skills.

Lead the design and development of embedded NPU software frameworks, runtime libraries, and system drivers for AI acceleration across Snapdragon SoCs. Architect optimizations for high-performance, low-power multimedia and machine learning workloads spanning mobile, automotive, compute, and XR platforms.…See more Work across the full software stack—from low-level drivers to high-level frameworks—collaborating with hardware and systems teams. Mentor engineers, drive technical decisions, and own system-level integration across CPU/DSP/NPU subsystems.

Senior Sensors Software Engineer at Qualcomm designing and developing low-power embedded software for mobile sensors, IoT, wearables, and AR/VR applications. Responsibilities include architecting scalable real-time embedded systems, performing design and coding for large features, debugging, integration, and technical documentation.…See more Requires 2+ years of software engineering experience with proficiency in C/C++, embedded RTOS, and Linux/Android/Windows; familiarity with sensors technology, digital signal processing, machine learning, and AI is preferred.

Own CI, build, and release infrastructure for AI software products (ONNX Runtime, ExecuTorch, TFLite/LiteRT delegates) across Linux, Windows, and Android. Design and evolve multi-platform CI pipelines, implement HIL and on-device automated testing for Snapdragon SoC validation, and drive end-to-end release pipelines with versioning, artifact packaging, and distribution.…See more Define automated quality gates including regression benchmarks and performance thresholds. Requires 8+ years of software/DevOps/release engineering experience (or 6+ with a Master's), expert Python and Bash scripting, deep CI/CD platform expertise (Jenkins, GitLab CI, GitHub Actions, TeamCity), and hands-on experience integrating AI coding agents into workflows.

As a Staff System Performance Engineer, you will research, simulate, and validate performance across Qualcomm Snapdragon chipsets, optimizing power, performance, and thermal behavior for Mobile, Compute, Automotive, and IoT platforms. You will profile complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance analysis plans across multiple workloads (CPU, GPU, AI/ML), and identify optimization opportunities in SoC software and hardware architectures.…See more You will lead triage of performance issues, collaborate with cross-functional teams on power and thermal solutions, and mentor junior engineers. The role requires 4+ years of post-silicon power/performance analysis experience, strong programming skills (Python, C/C++), deep understanding of ARM SoC architecture, and the ability to communicate findings to senior leadership and drive architectural decisions.

Staff Product Owner responsible for executing the product roadmap for mobile applications across iOS and Android platforms at Stryker. Translate product strategy, customer workflows, and business needs into prioritized epics, user stories, and development-ready backlog items.…See more Guide product capabilities from concept through development, validation, release, and continuous improvement. Develop working knowledge of system architecture, APIs, integrations, and collaborate across engineering, design, quality, and clinical teams to resolve product and delivery challenges.

Join Qualcomm AI Research as a Machine Learning Engineer to architect, design, develop, and deploy on-device AI prototype software for edge devices. You will work with a multi-disciplinary team using cutting-edge AI frameworks, focusing on model fine-tuning, quantization, and edge inference.…See more Strong Python, deep learning frameworks (PyTorch), object-oriented design, and software engineering best practices are required. Preferred qualifications include generative AI knowledge, neural network optimization, NPU/ML accelerator experience, Android programming, C/C++, and embedded software skills.

As a Sr. Staff Engineer for Wearables at Qualcomm, you will design, develop, and validate next-generation embedded software and platforms for wearable devices.…See more You'll collaborate with cross-functional teams (hardware, systems, architecture, test) to translate use-case requirements into implementation specifications, manage code reviews and quality assurance, and deploy state-of-the-art wearables algorithms into commercial products. The role requires deep expertise in modern C++, multi-core programming on heterogeneous mobile architectures (CPUs, GPUs, DSPs, tensor accelerators), performance analysis, and established software development processes (CI/CD, testing, code reviews). You'll need 6+ years of software engineering experience and 3+ years with C++, Java, Python, or similar languages.

AMD seeks a Principal Compiler Architect to lead the design and optimization of LLVM-based compilers for AMD GPUs, focusing on performance improvements for ML frameworks and HPC applications. The role involves working with architecture specialists on hardware bring-ups, debugging compiler issues, and developing groundbreaking compilation technologies for current and future GPU hardware.…See more The candidate will apply data-driven optimization strategies, stay current with hardware and software trends, and collaborate across teams to enhance compiler support for ML and HPC workloads. Required expertise includes strong C/C++ programming, understanding of GPU execution models, and ideally a track record of open-source LLVM contributions.

Qualcomm is seeking a software engineer to develop power and limits management software for SoC chipsets, owning the full lifecycle from pre-silicon through commercialization. The role involves analyzing requirements, designing robust software solutions, optimizing for power efficiency, and developing profiling/validation tools across multiple subsystems.…See more Candidates will perform detailed analysis to recommend improvements in performance, memory, and power utilization, including algorithm design and SW/HW partitioning. The position requires hands-on embedded systems expertise, real-time OS knowledge, and the ability to interface across system, power, software, and hardware engineering disciplines.

As a SW Test Development Engineer 2, you will design and build automation tools and frameworks to test Dexcom's continuous glucose monitoring devices and mobile apps (iOS/Android). You will develop in Python or Java to create testing APIs, integrate tools like Jira, Testrail, Slack, and GitHub, and manage end-to-end test suites in CI/CD pipelines.…See more The role requires 2–3 years of software development experience with object-oriented languages, hands-on familiarity with cloud platforms (AWS/GCP), containerization (Docker), and embedded/mobile device automation.

You will develop high-quality Android applications and shared mobile components using Kotlin and modern Android development practices like Jetpack and Compose. Working closely with UX designers, product managers, and cross-functional teams, you'll design and evolve reusable UI components and shared Android frameworks that drive consistency and accessibility across digital health applications.…See more You'll advocate for quality through unit testing, automated testing, and code reviews while collaborating with iOS engineers and leveraging AI-assisted development tools. This role requires 3+ years of professional software development experience including Android development, with a Computer Science degree or equivalent practical experience.