#Embedded Software Engineer

Qualcomm•San Diego, CA

9d•$109,400 - $164,200

About The Position

This position is not eligible for Qualcomm immigration sponsorship Wireless R&D - Qualcomm Research (QR) division drives cutting edge research in enabling the next generation (6G) of wireless. It involves development of research-grade prototypes and early-stage platforms to enable advances in RF, baseband, communication protocols and algorithms; User Experience (UX) technologies that enable transformative experiences across XR, AI-powered context-aware communications, agentic AI, and robotics; multi-modal sensing using RF, vision and maps; system architectures to both meet and drive industry standards. These prototypes/platforms are end-to-end systems that enable the characterization and demonstration of advanced technologies, improved application-performance and user experience, usage of Qualcomm's compute platforms, leverage of open-source libraries wherever applicable, and pre-commercial inter-operability trials and showcases with industry-partners. It requires advanced SW development across a multitude of domains, layers, and platforms. The team is looking for a Software Engineer to develop and integrate embedded SW for advanced algorithms and standardized/standards-proposed protocols, primarily on general purpose compute servers that sit above RF and baseband. In this role, you will design, develop, and integrate features that meet the division's objectives. You will be working in a fast-paced, intellectually challenging work environment. Successful applicants will be creative, enthusiastic innovators who are equally comfortable with researching new technologies and implementing software as well as tools towards cutting edge research as well as products.

Requirements

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
Proficiency in C/C++ programming, and Object-oriented software design and development
Understanding of multi-threading, OS fundamentals
Analytical and problem-solving skills
Ability to communicate technical ideas and work status (estimates, risks, dependencies) clearly, both verbally and in writing
Ability to work effectively across teams in a fast-paced, collaborative and diverse software engineering environment

Nice To Haves

Master's degree in Computer Engineering, Computer Science, Electrical Engineering OR 2 years of work experience in an Embedded Software Engineering field
Familiarity in debugging using tools such as gdb, perf, etc., doing log-analysis to determine root cause
Experience analyzing and optimizing CPU utilization, latency, and throughput
Experience with distributed systems, client-server architectures, or cloud/edge computing
Experience developing or integrating end-to-end applications
Knowledge of network protocols, wireless systems, QoS frameworks, protocols such as 5G NR, LTE, and 802.11
Aptitude to seek and adopt productivity enhancement processes/tools (AI-based & other) on top of a strong foundation of technical and programming skills.

Responsibilities

Design, develop, integrate, and maintain embedded software across the full development lifecycle. The work output typically targets technology characterization, operator trials, demos, and industry showcases.
Interact with system architects to understand high level system design and requirements and subsequently synthesize software designs
Contribute to technical design and reviews, providing engineering input on architecture, design trade‑offs, schedules, and risk areas.
Perform on‑target and off‑target development and debugging, using standard embedded debug tools and techniques to diagnose and resolve functional, performance, and stability issues.
Optimize performance and timing constraints in real-time embedded systems
Create and maintain high‑quality technical documentation, including design descriptions, architecture specifications, usage and release notes.
Contribute to subsystem-level integration and testing. This also provides a hands-on opportunity, under the guidance of experts, to gain a broader and deeper understanding of the overall system beyond your immediate area of work.
Collaborate with cross-functional teams, including but not limited to system architects, baseband and RF SW engineers, test engineers