Software Gigs

This Embedded Software Engineer role at Leidos involves designing and developing high-performance embedded software for custom System-on-Chip (SoC) hardware in electronic warfare applications. You will write low-level C/C++ code for multi-core systems (DSP, ARM, RISC-V), perform hardware-software co-design and validation, and build software development kits for end users. The position requires 4+ years of embedded systems experience, deep understanding of hardware architectures, and proficiency in reading datasheets, test-driven development, and real-time operating systems.

Design and optimize video analysis and quality assessment algorithms for next-generation video codec hardware accelerators (FPGA/ASIC). Implement C-models and firmware for advanced video encoding, collaborating across algorithm, architecture, software, and hardware teams. Apply machine learning techniques including deep learning frameworks and transformer architectures for ROI detection, content understanding, and feature extraction. Integrate algorithms into production VOD/live streaming workflows and validate impact through A/B testing and objective quality metrics (VMAF, PSNR, SSIM).

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.

Design and optimize video analysis, quality assessment, and encoding algorithms for hardware-accelerated video codec solutions (FPGA/ASIC). Develop C-models and firmware for real-time video processing, implementing algorithms for ROI detection, content understanding, frame-level rate control, and objective quality metrics. Collaborate with infrastructure and platform teams to integrate algorithms into production VOD and live-streaming workflows, validate performance through A/B testing, and optimize end-to-end video quality. The role requires strong programming skills in C/C++ or Python, knowledge of video quality standards (VMAF, PSNR, SSIM), and ideally experience with deep learning frameworks, video codecs, or embedded real-time systems.

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.