Jobs at Qualcomm

Qualcomm seeks an experienced Staff Product Manager to define and drive the Linux platform roadmap across Snapdragon-based AI PCs, Edge AI systems, and enterprise computing solutions. The role spans product strategy, Linux distribution enablement, upstream kernel and driver strategy, and AI developer platform support. You will gather customer and ecosystem requirements, create product roadmaps, collaborate with OEMs, ISVs, Linux distribution partners, and open-source communities to deliver optimized Linux experiences on Snapdragon platforms. Success requires translating market needs into platform requirements, managing cross-functional alignment across hardware, firmware, kernel, and AI software layers.

This role involves evolving Qualcomm's Robotic Process Automation capabilities into next-generation agentic automation solutions. The Senior Agentic Automations Engineer will design and deploy AI-driven agents, enterprise chatbots, and workflow engines, leading technical delivery across a global team while integrating RPA platforms like Automation Anywhere with containerized architectures. Key responsibilities include defining automation standards, building full-stack enterprise applications, and ensuring secure integration with enterprise systems using Docker, Kubernetes, and agentic frameworks like LangGraph and n8n.

Own end-to-end demand forecasting and capacity planning for AI systems, compute, storage, GPU, and emulation across a global engineering organization spanning tens of thousands of servers and hundreds of petabytes of storage. Translate silicon product roadmaps and tapeout schedules into multi-year demand plans, size and justify capital purchases into the hundreds of millions of dollars, and present capacity positions to engineering and finance leadership. Build and maintain forecasting models, decision rules, and utilization analytics; apply AI and automation to move beyond manual spreadsheet work. Lead and mentor a team of analysts, raising their craft and setting analytical direction.

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. 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.

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs. Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.

This role involves independently designing, developing, and debugging real-time embedded software, RTOS environments, and microcontroller firmware for wireless chipsets supporting 3G, 4G, 5G, and AI technologies. The engineer will work on driver development, integration, testing, and validation of communication protocols and platforms, while also contributing to data collection frameworks, machine learning modeling, and embedded software algorithm improvements. Responsibilities include on-target development, tool and process optimization, customer support, technical documentation, and active participation in design reviews. The position requires a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.

Lead ADAS R&D software engineering efforts for autonomous vehicle perception and decision systems at Qualcomm. Design, develop, and optimize embedded software blocks including deep-learning-based camera perception, lidar/radar perception, multi-sensor fusion, object tracking, behavior prediction, trajectory planning, and vehicle control. Develop efficient middleware for sensor data sharing and SDKs enabling customer proof-of-concepts. Requires Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field plus 7 years of related experience.

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. 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.

Join Qualcomm's Enterprise AI Engineering organization as a BizAI Tech Functional Engineer, bridging business stakeholders in Finance, Sales, and SCM with the AI engineering team. You will design and deliver AI-driven agents, natural-language analytics, and workflow automations on Qualcomm's unified BizAI platform, integrating with enterprise systems like Databricks, Oracle, Salesforce, and M365. The role requires full-stack technical expertise (Python, TypeScript, FastAPI, n8n, Kubernetes) combined with functional fluency to translate process pain points into governed, production-grade solutions that meet SOX, security, and auditability standards. You'll support adoption through enablement and hands-on guidance while defining standards for scalability and compliance across the enterprise.

This role focuses on designing, developing, and deploying next-generation agentic automation solutions that replace and extend traditional RPA capabilities across enterprise systems. The engineer will architect AI-driven agents, chatbots, and workflow engines; lead technical delivery for a global matrixed team; and integrate platforms like Automation Anywhere with modern agentic frameworks and containerized infrastructure. Success requires 7+ years in automation engineering or software development, strong proficiency in Python, Rust, and TypeScript, hands-on experience with agentic runtimes (n8n, LangGraph, Agno), and deep expertise in Docker, Kubernetes, enterprise security, and process optimization.

As a Staff Graphics Software Engineer, you will architect, design, implement, and optimize GPU hardware, drivers, features, and applications. You will write complex code in C++, C, Perl, and Python across multiple platforms, develop comprehensive pre- and post-silicon tests in simulation and emulation environments, and collaborate with cross-functional teams and external stakeholders. The role requires 4+ years of relevant engineering experience (or equivalent with advanced degree) and expertise in graphics programming. You will work independently with minimal supervision while providing guidance to team members and influencing key organizational decisions.

As a Staff Graphics Software Engineer, you will architect, design, implement, and optimize GPU hardware, drivers, features, and tools for next-generation gaming, XR, and AI experiences. You will write complex code in C++, C, Perl, and Python across simulation, emulation, and on-device environments, develop comprehensive pre- and post-silicon tests, and collaborate with cross-functional teams and external stakeholders. The role requires 4+ years of relevant software/hardware engineering experience (or equivalent with advanced degree) and deep graphics and GPU expertise. You will work independently with minimal supervision while providing guidance to team members and influencing key organizational decisions.

This Staff IT Engineer role supports secure enterprise environments serving government missions, with primary responsibility for implementing, administering, and optimizing Microsoft infrastructure technologies including Windows Server, Active Directory, Group Policy, SCCM, DNS, DHCP, file services, and print services. The candidate will provide Tier 2/3 support, troubleshoot complex infrastructure issues, perform system maintenance and patching, manage endpoint compliance, and ensure compliance with federal cybersecurity frameworks (NIST, RMF, CMMC). The role requires at least 3 years of hands-on experience with on-premises Microsoft infrastructure in enterprise environments and an active Top Secret security clearance.

Senior engineer designing, implementing, and validating Wireless WAN modem air interface and Radio Access Network (RAN) technologies for multi-RAT systems. Responsible for modem access stratum and RF software design, algorithms, HW/SW co-processor architecture, and transceiver implementation based on 3GPP LTE and 5G NR specifications. Works across L1/L2/L3 protocol layers, optimizes for performance (throughput, latency, power consumption) and cost (silicon area, calibration complexity), and collaborates with RF and hardware teams on modem IP architecture and shared resource allocation.

Senior Embedded Software Development Engineer at Qualcomm Atheros will independently design, develop, and validate real-time embedded software, RTOS environments, microcontroller firmware, and communication protocols for wireless chipsets supporting 3G, 4G, 5G, and AI technologies. Responsibilities include driver development, platform integration, debugging, testing, and on-target development, along with identifying and implementing process improvements. The role requires creating technical specifications, engineering documentation, and providing support to Software Application Engineers on customer issues and project planning. Candidates should hold a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

Staff-level RF control software engineer responsible for designing and implementing the software abstraction layer that supports diverse radio hardware configurations on a common protocol stack. Leads the development lifecycle from inception through commercialization, including RF hardware characterization, test mode interfaces, and optimization of device control transactions for timing-critical multi-RAT and concurrent radio operations. Applies expertise in RF component control (amplifiers, oscillators, frequency synthesizers, mixers, switches, sensors) and digital interfaces used in multi-chip wireless transceiver platforms. Provides technical leadership across multi-disciplinary teams including ASIC design, modem/RF systems, hardware, and firmware.

Senior PCB Designer responsible for designing and documenting high-density printed circuit board layouts for Qualcomm's 5G/6G platforms across Mobile, Automotive, Infrastructure, IoT, Compute, and R&D. The role requires mastery of advanced PCB design using tools like Siemens/Mentor Xpedition, PADS, Altium, or Cadence Allegro, with expertise in high-speed digital, RF, and analog circuit design. Must collaborate with electrical and mechanical engineering teams, manage multiple projects simultaneously, and resolve complex fabrication and assembly challenges while meeting manufacturing standards and schedule objectives.

Sr. Staff Reliability Engineer at Qualcomm leads semiconductor reliability strategy for advanced CMOS technologies (FinFET, GAA, etc.), defining qualification requirements and executing technology certification across devices, packages, and systems. The role requires deep expertise in device and interconnect reliability physics—BTI, TDDB, HCI, electromigration, self-heating, wear-out mechanisms—and hands-on experience designing reliability test structures and interpreting complex failure data. Responsibilities include performing advanced reliability analysis, anticipating and mitigating risks across the product lifecycle, establishing scalable organizational best practices, and providing expert judgment on critical trade-offs. The engineer will mentor technical staff, drive cross-functional alignment with design, process, test, and product teams, and communicate reliability status and strategic recommendations to senior leadership.

This Senior AI Software Program Manager role owns end-to-end planning, execution, and delivery of AI-based product programs—managing schedules, scope, budget, and resources while translating organizational strategy into product roadmaps. The individual coordinates across product management, technology teams, systems, and software leads to ensure timely, quality delivery; manages risk mitigation and stakeholder reporting; and drives process improvements and compliance across interdepartmental efforts. The role requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, plus four years of related program or project management experience.

Staff Program Manager will develop, define, and execute plans of record for multiple medium-sized automotive software programs, managing schedules, budgets, resources, deliverables, and risks from initiation through delivery. The role requires independent work with senior stakeholders, establishing program metrics, identifying and mitigating risks, and driving cross-functional alignment across internal and external teams. Requires a Bachelor's degree in Engineering or Computer Science plus 5+ years of program management experience; PMP certification and 10+ years experience are preferred.

Staff GPU Software Engineer at Qualcomm's Adreno GPU Developer Tools team, designing and developing profiling, performance analysis, and debugging tools for next-generation graphics, games, ray tracing, machine learning, and image/video processing. Responsibilities include GPU hardware/software collaboration on performance validation, feature development, issue debugging, driver instrumentation, and developer ecosystem engagement. Requires 4+ years software engineering experience with strong C/C++ proficiency and GPU hardware/graphics knowledge; experience with graphics APIs (Vulkan, DirectX, Metal, OpenGL), game engines (Unity, Unreal Engine), or GPU computing (CUDA, OpenCL) is a plus.

Sr. Staff Reliability Engineer at Qualcomm leads semiconductor reliability strategy for advanced CMOS nodes (FinFET, GAA) and complex SoCs. The role requires deep expertise in device and interconnect failure physics—BTI, TDDB, HCI, electromigration, self-heating—and advanced packaging architectures (2.5D/3D, TSV, chiplets). Responsibilities include defining foundry qualification requirements, performing wear-out and aging analysis, identifying lifecycle risks, and establishing scalable reliability processes. The engineer mentors the organization, provides expert judgment on critical trade-offs, and communicates reliability status and strategic recommendations to senior leadership.

Design, develop, and debug real-time embedded software and RTOS environments for wireless chipsets supporting 3G, 4G, 5G, and AI technologies. Responsibilities include driver development, firmware integration, testing, validation, and debugging of embedded microcontroller platforms and communication protocols. Develop and maintain tools and processes to improve the software development lifecycle, provide technical support to application engineers, and create engineering documentation and specifications. Contribute as a strong technical voice in design reviews and project planning.

Staff-level RF control software engineer responsible for designing and implementing software abstraction layers that support diverse radio hardware configurations on common protocol stacks. Designs test mode interfaces for hardware characterization and RF performance tuning, and optimizes device control transactions for multi-RAT, multi-SIM, and concurrent radio operations. Applies expertise in antenna concepts, signal characterization, and RF component control (amplifiers, oscillators, frequency synthesizers, mixers, switches, sensors). Collaborates across ASIC design, modem/RF systems, systems test, hardware, and firmware teams while providing technical leadership at design reviews.

Senior Software Applications Engineer at Qualcomm who independently manages moderately complex responsibilities providing technical expertise on software systems. The role involves sales support, customer assessments, product demonstrations, technical presentations, and detailed proposal development for customer solutions. Responsibilities include diagnosing software issues, preparing technical documentation, staying current on industry trends, and acting as a contributor at design reviews. The position requires travel up to 10% domestically and internationally.