**Company:** Qualcomm Technologies, Inc. **Job Area:** Engineering Group, Engineering Group > Software Engineering **General Summary:** Seeking an exceptional architect to join us in our mission to innovate and deliver the most advanced and scalable compute platform architectures in the industry. This role will play a central role in the evolution of automotive cockpit, ADAS/autonomous driving and high-performance compute platforms. Job activities span the whole product life cycle from early R&D to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. Responsibilities shall include the following: •Architecture, design and development of software for DSP/NPU processors in Qualcomm SoCs that meets specified performance, latency, power, robustness, and stability metrics.. •Collaborate across functional boundaries in defining architecture, design, SDK and profiling tools •Actively engage with Automotive OEMs, Tier-1s and ISVs to implement systems based on of Qualcomm Automotive platforms. •Working with architecture team to define Qualcomm’s next generation NPUs. **Minimum Qualifications:** • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Qualifications: ·10-15 years of relevant experience in one more of the domains below ·Solid hands-on software design and development experience on complex embedded compute platforms. ·Demonstrated experience working with heterogenous SoCs consisting of CPUs, GPUs, DSPs, and neural accelerators. ·Extensive system software development experience – including co-processor firmware, device drivers and board-support packages etc.. ·Strong working knowledge of operating systems including QNX, Linux and other RTOSs, as well as hypervisors/virtualization technologies. ·Deep understanding of OS internals – scheduler, cache/memory handling, interrupt processing, MMU/SMMU, IPCs etc. ·Working knowledge of peripherals and interfaces – e.g., PCIe, AI Accelerators etc. ·Good understanding of SoC level power and limits management, error/fault aggregation and management. ·Strong programming experience in C/C++ , as well as hands-on experience debugging complex software. ·Experience using industry standard development tools - e.g., requirements management, modeling, tool-chains, IDEs, configuration management etc. ·Ability to lead and contribute to multiple phases of software development - from concept reviews, planning, architecture, bring-up, design and deployment. ·Demonstrated ability to work with engineers, partners and customers, and across the different geographical sites and technology domains. ·Excellent verbal and written communication skills. Preferred Qualifications: ·SoC architectures including heterogeneous compute, NoC/interconnect, memory-systems, multicore, multi-die, cache hierarchies, shared memory, I/O, coherency, and security ·Hands on SW development experience ranging from core kernel features like memory management, scheduler, and driver development ·Experience in system performance (e.g., CPU load, bandwidth, latency, cache/memory performance etc.) analysis and optimizations. ·Understanding of ARM architecture ·Knowledge of frameworks and SDKs for Vision/Deep Learning (e.g. OpenCV, OpenCL, PyTorch, TensorFlow etc.). ·Working knowledge of image sensor data flow pipelines – e.g. image capture, pre/post-processing routines, encode/decode and rendering blocks etc. ·Prior experience in design of automotive-grade SW for ADAS/Autonomy systems ·Analyze ML/AI workloads on HW accelerators and SW stacks through simulation and on-device characterization. ·Define, model and tune algorithms for ML/AI compilers, kernels and HW features to improve mappings of ML/AI workloads on existing and future HW. 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Qualcomm is not responsible for any fees related to unsolicited resumes/applications. **EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.** Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. **Pay range** **and Other Compensation & Benefits** **:** $134,800.00 - $202,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link . If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) . EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification