{"id":1723434,"url":"https://alion.io/job/qualcomm-gpu-research-engineer-2","title":"GPU Research Engineer","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":78,"open_postings":1016,"ghost_share":0.142,"stale_share":0.097,"repost_share":0.402,"time_to_fill_p50_days":75,"computed_at":"2026-10-03T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":119400,"max":179200,"currency":"USD","period":"year","gross":null,"usd_annual":179200},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Rest-Assured","optional":true}],"status":"closed","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-03T12:24:10Z","board_verified":false,"closed_at":"2026-10-03T12:24:10Z","days_open":36,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":36},"description":"Company:\nQualcomm Technologies, Inc.Job Area:\nEngineering Group, Engineering Group > GPU ASICS EngineeringGeneral Summary:\nAs a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.\nMinimum Qualifications:\n• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.Preferred Qualifications:\nMaster's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.\n1+ year of relevant GPU experience.\n1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.\nPrincipal Duties and Responsibilities:\nApplies GPU knowledge to assist in the architecture, design, implementation, verification, and/or optimization of the performance and power of GPU cores.\nAssists in building functional model simulations, developing software, and testing for various graphics to verify correctness.\nPrograms and runs graphics tests using tools and methods to assess functionality, performance, and power.\nCollaborates with team members toguide implementation and ensure alignment with needs and goals.\nAssists in the development of driver and compiler software to support GPU products.\nWrites technical documentation and feature descriptions for GPU projects.\nLevel of Responsibility:\nWorks under supervision.\nDecision-making affects direct area of work and/or work group.\nRequires verbal and written communication skills to convey basic, routine factual information.\nTasks consist of a limited number of steps and can be referenced using directions or manuals.\nQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that 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 be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nTo 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.\nEEO 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.\nQualcomm 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.\nPay rangeand Other Compensation & Benefits :\n$119,400.00 - $179,200.00The 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.\nIf you would like more information about this role, please contact Qualcomm Careers.","description_format":"text","description_chars":4759,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Autonomous Driving","Energy Efficiency","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-10-02T21:23:27Z"},{"event":"close","at":"2026-10-03T12:24:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 55 · green card filings: 6","filings_12m":55,"filings_prev_12m":87,"green_card_filings_12m":6,"median_offered_wage_usd":122008,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":25}],"liveness":null,"pay":{"stated_usd_annual":179200,"is_top_pay":false},"html_url":"https://alion.io/job/qualcomm-gpu-research-engineer-2","json_url":"https://alion.io/job/qualcomm-gpu-research-engineer-2.json","meta":{"generated_at":"2026-10-04T02:14:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3083,"day_limit":5000,"remaining_today":1917,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}