perforce jobs in San Diego

As a Display Software Engineer at Qualcomm, you will design, develop, and validate embedded and cloud edge software applications under supervision. You'll analyze user requirements, implement small software features, participate in coding and unit testing, perform code reviews, and collaborate with systems, hardware, and architecture teams.…See more The role requires a Bachelor's degree in Engineering, Computer Science, or related field, with preferred experience in C, C++, Java, or Python; database management; APIs; and source control systems like Git or Perforce.

As a Software Engineer focused on Edge AI/Gen AI, you will design, develop, and validate embedded and cloud edge software applications for Qualcomm's cutting-edge products. You'll implement small software features, participate in coding, unit testing, debugging, and code reviews while collaborating with systems, hardware, and architecture teams.…See more The role requires proficiency in languages such as C, C++, Java, or Python, along with experience in source code management, APIs, and database systems. You will work under supervision on tasks that involve multiple steps, planning, and problem-solving to meet project deadlines.

Senior Staff Engineer role focused on developing next-generation automotive telematics platform software at Qualcomm. Responsibilities include architecting platform security (mandatory access control, verified boot, full-disk encryption), leading boot-time and memory optimization, designing multi-processor fusion configurations over PCIe/USB/Ethernet, planning kernel and Yocto upgrade roadmaps, and mentoring engineers across boot, security, memory, and virtualization domains.…See more Requires 6+ years software engineering experience with deep expertise in embedded Linux, kernel development, automotive cybersecurity standards, and strong C/C++ programming skills.

Design, develop, and validate embedded and cloud edge software for cutting-edge Qualcomm products. Leverage C, C++, Java, Python, or similar languages to build sophisticated software subsystems for complex, large-scale systems, collaborating with hardware, systems, and test engineers.…See more Lead code reviews, regression testing, and technical documentation while working independently with minimal supervision and providing guidance to junior team members.

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.

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.

Design, implement, integrate, and commercialize video software modules on Qualcomm SoCs, including user and kernel mode drivers for playback, streaming, camcorder, and DRM use cases. Develop and optimize video compression, streaming protocols, and Agentic AI frameworks on Linux platforms while meeting performance, latency, power, and stability requirements.…See more Work with hardware and systems engineers to integrate cutting-edge video technology on Snapdragon processors for mobile and AI inferencing platforms. Requires expertise in Linux kernel development (V4L2, device drivers), video compression standards (H.264/H.265/AV1), streaming protocols (HLS/HTTP/RTSP/DASH), and embedded systems debugging.

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.

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.…See more Work independently on complex embedded systems projects involving power management, ARM architecture integration, and performance optimization while documenting technical solutions.

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.…See more 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#.

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.…See more 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.

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.…See more 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.

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.…See more 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.