{"id":"a4e69c60-fe08-4e44-ba6f-9567383d9017","title":"AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff","company":{"id":"c50b3607-4ab3-4e80-807b-d17fca6c3c88","name":"Qualcomm","website":"https://careers.qualcomm.com","url":"https://yesjob.brogu.ca/companies/c50b3607-4ab3-4e80-807b-d17fca6c3c88"},"url":"https://yesjob.brogu.ca/jobs/a4e69c60-fe08-4e44-ba6f-9567383d9017","apply_url":"https://careers.qualcomm.com/careers/job/446714907262","status":"open","location":"San Diego, California, United States of America","locations":[{"city":"San Diego","region":null,"country":"CA"},{"city":"Markham","region":"ON","country":"CA"}],"workplace":"onsite","remote_eligible_countries":[],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":"senior","first_seen_at":"2026-11-05T19:11:06.103Z","last_seen_at":"2026-11-07T05:58:05.828Z","salary_text":null,"summary":"- Senior-to-staff AI Performance Engineer on Qualcomm's Cloud AI team in San Diego, California, US, focused on optimizing LLM, VLM and diffusion model inference (PyTorch, ONNX, Triton).\n- Requires deep transformer/attention knowledge, workload mapping with sharding or parallelism, and strong Python skills.\n- Minimum qualifications: Bachelor's with 6+ years, Master's with 5+ years, or PhD with 4+ years of relevant experience.\n- Pay range listed as $194,400–$291,600 (pay period not stated); work authorization and workplace arrangement are not specified in the posting.","sources":["https://careers.qualcomm.com/careers/job/446714907262"]}