Field Application Engineer – Product Marketing

OverviewJoin to apply for the Field Application Engineer – Product Marketing (Compute) role at Qualcomm . We’re looking for a passionate and skilled Field Application Engineer (FAE) with a strong background in Compute technologies to join our team in São Paulo. In this role, you’ll serve as a trusted technical advisor and customer advocate, helping partners and clients unlock the full potential of advanced computing platforms, including CPUs, GPUs, NPUs, AI accelerators, and heterogeneous systems. You’ll work closely with cross‑functional teams to support the evaluation, integration, and optimization of compute solutions, ensuring seamless deployment and top‑tier performance across a variety of applications. What You’ll DoPartner with sales, product, and engineering teams to understand customer needs and deliver tailored compute solutions. Provide hands-on technical support for compute hardware and software, including troubleshooting, benchmarking, and performance tuning. Guide customers through the evaluation and integration of platforms such as SoCs, AI/ML accelerators, and server‑grade CPUs/GPUs/NPUs. Lead product demos, technical workshops, and training sessions to showcase compute technologies and best practices. Support customers in profiling, debugging, and optimizing applications for target platforms. Collect and share customer feedback to help shape product roadmaps and drive continuous improvement. Create and maintain technical documentation, application notes, and reference designs. Stay up to date with the latest trends in high‑performance computing, AI/ML, and edge/cloud architectures. What We’re Looking ForBachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or a related field. Strong understanding of compute architectures (CPU, GPU, NPU, FPGA, etc.) and supporting software stacks (drivers, libraries, frameworks). Practical experience with performance profiling tools, benchmarking methodologies, and debugging techniques. Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), parallel programming (OpenCL, CUDA), and system‑level integration. Excellent communication skills and a customer‑first mindset. Willingness to travel for customer meetings and industry events. Key SkillsAnalytical and problem‑solving expertise in compute environments. Ability to explain complex technical concepts to diverse audiences. Experience with hardware/software co‑design and performance optimization. Strong organizational and project management capabilities. Accessibility and ApplicantsQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may e‑mail or call Qualcomm’s toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including 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. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. #J-18808-Ljbffr