Jobs at Qualcomm

As a Senior Software Engineer, you will design, develop, and optimize software solutions for Qualcomm's next-generation data center platforms, with a focus on Linux Kernel development in virtualization (KVM), scheduling, memory management (IOMMU), and power/performance management (DVFS) for ARM-based systems. You will debug complex issues using JTAG debuggers, contribute to upstream open-source projects, and lead a team of engineers. The role requires expertise in C/C++, Linux Kernel internals, ARMv8/ARMv9 architecture, system architecture analysis, and hands-on experience with FPGA and QEMU-based pre-silicon development.

Design, implement, and optimize real-time embedded modem firmware across protocol layers and drivers while meeting strict latency, memory, and power constraints. Pioneer AI-native development practices by integrating AI coding agents, LLM-based code review, and automated test synthesis into daily workflows to accelerate delivery and debugging. Own end-to-end feature delivery from requirements through on-target bring-up, and debug complex multi-layer hardware issues using AI-assisted analysis. Requires deep expertise in modern C/C++, embedded systems (DSP/Arm architectures), RTOS internals, data structures, and hands-on target hardware debugging, combined with practical experience using AI coding assistants and agentic tools.

Lead the design and implementation of computer vision features and on-device prototyping using Snapdragon Vision API. Support engineering teams in building, integrating, and deploying CV APIs for commercial products across mobile, autonomous vehicles, IoT, and AR/VR platforms. Develop technical documentation and sample materials showcasing CV capabilities to end-application developers. Requires 3–5 years of hands-on CV application development, strong understanding of CV algorithms and deep-learning pipelines, and proficiency in C/C++ and Python for rapid on-device prototyping.

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. 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. 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.

Staff-level data engineer who designs, develops, and maintains scalable ETL/ELT pipelines using Databricks, PySpark, and Python for enterprise analytics and AI use cases. Builds curated data layers following Lakehouse Medallion architecture, develops Databricks-native applications (notebooks, dashboards, APIs), and optimizes Apache Spark workloads for performance and cost efficiency. Owns production data pipelines end-to-end, ensures data quality and reliability, and acts as a technical leader mentoring teams on data engineering best practices and modern Databricks capabilities.

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. 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.

Senior Staff Software Engineer leading teams to improve engineering efficiency and product quality in software development for 5G and RAN optimization. Designs and implements scalable software solutions, manages software architecture to meet performance and scalability demands of cellular networks, and serves as a tech lead owning project outcomes. Works with site reliability engineers to translate telecom requirements into robust code, applies distributed systems and AI knowledge, and mentors development teams through deep technical expertise. Requires 6+ years of experience with a Master's degree or 8+ years with a Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering.

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. 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.

Senior Staff Firmware Development Engineer responsible for designing, implementing, and verifying CPU power management firmware for Qualcomm SoCs in pre-silicon and post-silicon environments. Requires 6+ years of software engineering experience, deep expertise in embedded firmware development with C/assembly, RTOS/OS kernel driver development, and ARM v8 architecture. Will collaborate with hardware teams, contribute to open-source communities, mentor engineers, and participate in platform bring-up, boot, RAS, debug, security, and runtime services across multiple verticals.

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. 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 Staff Software Engineer on Qualcomm's AI Software team, you will lead design and development of core features in the Qualcomm AI Stack (QAIRT and Genie), optimizing deep neural networks and large language models for execution on Snapdragon mobile platforms. You will drive AI runtime framework components for resource-constrained mobile systems, working closely with OEM partners and customer teams to deliver features, optimizations, and bug fixes required for product launches. The role demands expertise in optimizing for power, memory, and performance constraints while maintaining high code quality through design reviews and mentoring junior engineers. You will debug complex system issues across software-hardware boundaries and proactively improve developer workflows, tools, and documentation.

As a Platform Software Engineer in Qualcomm's Automotive group, you will design, develop, and validate embedded software, drivers, and firmware for next-generation automotive solutions including infotainment, telematics, and autonomous driving systems. You will lead development and debugging of platform software modules, collaborate with hardware and systems engineers, and interact with automotive customers to deliver requirements-compliant solutions. The role requires understanding of hardware-software integration across CPU, accelerators, and standard hardware blocks, with expertise in embedded software layers such as boot, drivers, firmware, security, and safety kernels. You will work with automotive industry standards, embedded systems on ARM-based SoCs, and tools such as JTAG debugging and C programming.

This senior role leads continuous integration (CI) functional efforts for wireless modem technologies, managing the design, integration, verification, and validation of cellular modem air interface and RAN technologies. The engineer supervises team members, gathers requirements from internal customers, holds design reviews, and ensures high-performance modem IP meets industry standards while optimizing for throughput, latency, power consumption, and cost. Responsibilities include real-time CI system monitoring, rapid issue triage, and cross-functional collaboration with other engineering groups. The position requires a BS in Electrical Engineering, Computer Engineering, Computer Science, or related field plus 5 years of progressive experience.

As a Staff Product Data Manager for AI Platforms & Systems Solutions at Qualcomm, you will own the product strategy, definition, and lifecycle for AI platform products and specifications spanning model enablement, agentic systems, orchestration runtimes, and open protocols. You will develop comprehensive plans of record including schedules, budgets, and resources, directing products from conception through end of life while functioning as a central resource across systems, engineering, standards, quality, marketing, and partner teams. The role requires deep fluency in the Windows edge-AI stack, with technical depth across AI/ML models, agentic systems, orchestration engines, standards development, and hands-on experience delivering Windows-based AI products leveraging local accelerators (CPU, GPU, NPU). You will translate emerging model, agentic, and orchestration trends into differentiated product and specification roadmaps.

As a Sr. Staff Engineer for Wearables at Qualcomm, you will design, develop, and validate next-generation embedded software and platforms for wearable devices. 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.

Senior Software Engineer to drive Linux innovation for Qualcomm's next-generation server-class CPUs on the Linux Platform team. Responsibilities include bringing up Linux kernel and userspace on new hardware, implementing build/packaging/test workflows in CI/CD infrastructure, debugging platform issues, and supporting upstream readiness for major Linux distributions. Requires 2+ years of software engineering experience with proficiency in C/C++, Python, and Bash, plus deep experience with enterprise Linux distributions (RHEL, Ubuntu, Debian), packaging systems, and CI/CD automation tools. Strong background in Linux kernel debugging, Git workflows, and cross-team collaboration expected.

As a Datacenter AI Systems and Solutions Engineer at Qualcomm, you will research, develop, and optimize end-to-end AI/ML solutions that integrate Qualcomm's AI inference accelerators with system software and ecosystem components. You will lead the design and deployment of production-ready Generative AI and LLM applications, perform model benchmarking and performance analysis, and serve as a technical lead for customer engagements on AI model optimization and inference tuning. The role requires deep expertise in AI systems architecture, MLOps practices, and large-scale distributed systems, with hands-on proficiency in Python, ML frameworks, containerization, and orchestration platforms. You will drive system-level requirements, hardware/software co-design, and influence product direction through performance analysis and optimization strategies.

Staff-level quality engineer responsible for new product introduction (NPI) of semiconductors and PCIe/server infrastructure for AI data centers. Will represent quality engineering across core development teams, drive reliability and supplier readiness, manage AQL sampling and non-conforming material disposition, and own product quality end-to-end from development through high-volume manufacturing. Must lead corrective actions, supplier qualification, and risk mitigation while interfacing with customers and suppliers. Requires bachelor's degree in computer science or electrical engineering with 4+ years of hardware engineering experience (or equivalent advanced degree with less experience).

Design, develop, and optimize machine learning systems and models for production AI platforms, with focus on inference optimization, scalable ML infrastructure, and deployment. Responsibilities include building ML pipelines, optimizing model inference across hardware environments, integrating LLMs and models into APIs and microservices, designing data pipelines for ingestion and feature engineering, and collaborating cross-functionally on end-to-end ML solutions. Requires strong software engineering fundamentals combined with deep ML expertise, proficiency in Python and at least one systems language (C++, Rust, or Go), and solid understanding of ML frameworks, transformer architectures, and model deployment systems.

Staff IT Software Design Developer at Qualcomm leads the design and development of full-stack software for web applications and engineering tools, working across data, integration, API, and UI layers. Develops large-scale, distributed, fault-tolerant systems and manages deployments on both on-premises and cloud infrastructure. Requires a Bachelor's degree in Computer Science, Computer Engineering, or related field plus five years of progressive software development experience. Responsibilities include designing SaaS products, managing the development lifecycle from development to production release, and communicating technical plans across IT teams.

Senior Multimedia Systems Engineer will independently design and develop multimedia technologies including speech, audio, imaging, computer vision, display, sensing, biometrics, and AR/VR. The role involves analyzing use cases, performing functional decomposition to drive requirements, and conducting system analysis using simulation modeling to optimize performance and power. The engineer will propose algorithmic and system modifications and contribute actively at design reviews and project meetings. A Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field is required.

Design, develop, and lead the Telematics Application Framework middleware layer and Linux container solutions for embedded systems, working with C/C++, embedded Linux, hypervisors, and LXC. Architect SW solutions from definition through commercialization, conduct performance tuning on embedded platforms, and manage Yocto/Kernel configurations across multiple chipsets. Perform code reviews, unit and integration testing, troubleshoot complex software issues, and serve as a technical leader, communicating with cross-functional teams on project status and technical decisions.

Design, implement, and verify machine learning software for embedded systems running on ARM processors, DSPs, and GPUs in mobile, edge, automotive, and IoT products. Develop optimized ML kernels, compilers, and tools; optimize ML frameworks like TensorFlow and PyTorch for efficient hardware execution. Perform integration, testing, and performance optimization of embedded software subsystems. Collaborate with hardware teams on joint design and development, coordinate cross-team dependencies, and contribute to design reviews.

Design, develop, and optimize real-time embedded modem software for Qualcomm's cellular platforms (5G/6G), working close to the metal with performant C/C++ on DSP and Arm cores across protocol layers, drivers, and RTOS components. Own end-to-end feature delivery from requirements through on-target validation, with strict latency, memory, and power constraints. Pioneer AI-native development practices by integrating code-generation agents, LLM-based code review, and automated test synthesis into daily workflows to accelerate delivery and debugging. Debug complex multi-layer issues on target hardware, increasingly leveraging AI-assisted log and crash analysis.