Software Gigs

Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI, C#, XAML, and C++. Define best practices for Windows development, drive accessibility efforts across Microsoft UI Automation frameworks, and take full ownership of feature lifecycles from conception through maintenance. Collaborate with product designers, UX researchers, and QA to shape the Windows platform roadmap. Diagnose and resolve complex bugs, performance bottlenecks, memory leaks, and compatibility issues while mentoring other engineers and conducting code reviews.

Senior Staff Software Engineer responsible for designing and optimizing the server-side JavaScript execution engine at the heart of the ServiceNow platform. The role requires deep expertise in compiler and runtime systems, including JIT/AOT compilation pipelines, memory management, and performance optimization at scale. You will work across the full software lifecycle from design through delivery, mentor colleagues on systems engineering and performance profiling, and own technical decisions with material risk across multiple projects and teams.

Join Illumina's Primary Analysis team to design and develop high-performance signal processing software for genomic data analysis. You will architect C/C++ solutions for multi-threaded, real-time applications running on Linux, optimize algorithms for genomic base calling from image signals, and collaborate across bioinformatics, instrument design, and quality teams. The role demands expertise in memory management, performance optimization, debugging tools, and unit testing, with 8+ years of professional software development experience.

Staff Software Engineer at Illumina's Primary Analysis team designing high-performance signal processing pipelines for genomic data analysis. The role involves architecting C/C++ software for multi-threaded, memory-optimized Linux applications that detect genomic signals from images, with responsibilities including algorithm development, performance optimization, debugging, and collaboration across bioinformatics, instrument design, and quality teams. Requires 8+ years of professional software development experience, deep expertise in C/C++, multi-threading, memory management, and debugging/profiling tools, plus strong object-oriented design and unit testing practices.

Qualcomm seeks a Sr. Staff/Principal Software Engineer to provide system-level technical leadership for next-generation ARM server platforms, spanning Linux kernel, firmware, and platform software. The role requires architecting across hardware, firmware, OS, and hypervisor boundaries using standards like ACPI, UEFI, SystemReady, SBSA/SBBR, and PSCI. Responsibilities include Linux kernel enablement, performance optimization, platform driver development, and guiding boot flows, power management, virtualization, and telemetry. This position demands 10+ years of hands-on Linux kernel development, deep C/assembly proficiency, firmware and pre/post-silicon debug experience, and the ability to mentor senior engineers while influencing SoC roadmaps.

Design, develop, and optimize embedded software stacks for complex SoCs with multiple core types, memory hierarchies, and bus infrastructure at Qualcomm. Lead architectural decisions for Edge AI and multimedia use cases, balancing performance and power efficiency while creating SDKs for customer development. Collaborate with systems, hardware, and test engineers to define software architecture and drive optimization for ARM CPU and NPU acceleration. Requires 6+ years of software engineering experience (or 5+ with a Master's degree, 4+ with a PhD) and 3+ years with languages like C, C++, Java, or Python.

Senior Staff Software Engineer role at Qualcomm focused on power and thermal management for next-generation ARM-based data-center server platforms. You will analyze system-level use cases, optimize DVFS and power-limiting mechanisms, develop algorithms to reduce power consumption, and perform system-level optimizations using hardware and software techniques. The role requires 6+ years of software engineering experience (or equivalent with advanced degree), 3+ years with C, C++, Java, or Python, and preferred expertise in power/performance measurement, ARM architecture, SoC design, Linux, real-time operating systems, and device drivers.

Lead architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms, working across system architecture, embedded software, graphics, AI/ML, and computer vision. Translate product requirements into implementation specifications, drive architectural trade-offs for performance and power efficiency, and provide technical leadership across multiple teams. Requires strong C++ proficiency, experience with heterogeneous computing systems (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded platforms, and 8+ years of software engineering experience.

As an AI Software Engineer at Qualcomm, you will develop and optimize machine learning software for the Qualcomm AI Stack (QAIRT and Genie SDKs), enabling efficient execution of large language models and deep neural networks on Snapdragon platforms. You will validate and optimize performance of generative AI models, debug complex issues, and collaborate across teams to deliver robust AI solutions. The role requires strong software design, programming, and debugging skills, with expertise in machine learning frameworks, embedded systems optimization, and languages like Python or C++. You will work with minimal supervision, participate in design reviews, and contribute to a culture of technical excellence.

Qualcomm seeks a Principal Engineer to lead the architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms. The role requires deep expertise in C++, heterogeneous computing (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded systems, and system-level performance optimization. Responsibilities include defining platform requirements, conducting architecture trade-offs for power/latency/performance, collaborating with computer vision and AI/ML teams, and driving technical decisions across multiple product areas. The ideal candidate brings commercial product experience and expertise in computer vision, graphics, SLAM, sensor fusion, or XR frameworks.