Software Gigs

Qualcomm
$94,200 – $141,200Posted 1 day ago

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.

San DiegoLast seen today
Qualcomm
$94,200 – $141,200Posted 3 days ago

Design, develop, and validate embedded software and device drivers for cutting-edge Qualcomm products including smartphones, IoT devices, and mobile platforms. Collaborate with hardware, systems, and test engineers to implement software modules, perform debugging and code reviews, and ensure quality through regression testing. Work independently on complex embedded systems projects involving power management, ARM architecture integration, and performance optimization while documenting technical solutions.

San DiegoLast seen 1 day ago
Qualcomm
$94,200 – $141,200Posted 3 days ago

This role focuses on system-level testing and validation of Qualcomm's leading-edge SoC products (Snapdragon, mobile, compute, automotive, server chipsets). The engineer will conduct early-stage silicon bring-up, post-silicon validation, and develop automated test content to stress systems across functional, performance, stability, and benchmark dimensions under various operating conditions. Responsibilities include hardware characterization, software integration testing, creation of production screens, and collaboration with IC design and development teams. The position requires proficiency in embedded systems, SoC testing concepts, test case development, lab instrumentation, and programming in C/C++, Python, or C#.

San DiegoLast seen 1 day ago
Qualcomm
$94,200 – $141,200Posted 3 days ago

As a Product Software Engineer, you will develop and integrate software for Qualcomm products spanning smartphones, computing devices, automotive infotainment, and IoT systems. You will own software integration tasks including component integration, build automation, version control management, and baseline releases. You will perform sanity testing on-target and in simulation environments, debug failures using tools like JTAG and ADB, automate test scenarios, and collaborate with cross-functional engineering teams on design and code reviews.

San DiegoLast seen 1 day ago
Qualcomm
$134,800 – $202,200Posted 4 days ago

Develop bare-metal firmware and low-level device drivers for Qualcomm reference platforms, focusing on hardware bring-up, validation, and early platform enablement. Work directly with hardware and silicon teams to debug SoC peripherals, implement test firmware, and resolve hardware/software integration issues using lab instrumentation and debug tools. Design and maintain register-level software for a wide range of integrated peripherals including memory, displays, cameras, RF transceivers, and communication interfaces. Requires deep expertise in embedded systems, processor architectures, and hardware protocols with strong problem-solving and cross-functional collaboration skills.

San DiegoLast seen 2 days ago
Qualcomm
$94,200 – $141,200Posted 5 days ago

Qualcomm is seeking a Software Engineer for their Power and Limits management group to develop firmware and software solutions for chipsets across multiple subsystems. The role involves analyzing requirements, designing robust software architectures, performing detailed performance/power analysis, and developing profiling and debugging tools for silicon validation. Candidates will work across system, power, software, and hardware teams to optimize power efficiency, thermal performance, and execution efficiency from pre-silicon through commercialization, with exposure to ARM architecture, real-time operating systems, and machine learning applications.

San DiegoLast seen 3 days ago