{"id":740630,"url":"https://alion.io/job/qualcomm-artificial-intelligence-for-video-compression-research-scientist","title":"Artificial Intelligence for Video Compression - Research Scientist","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":70,"open_postings":1118,"ghost_share":0.244,"stale_share":0.135,"repost_share":0.462,"time_to_fill_p50_days":74,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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","Munich, Germany","Hsinchu, Taiwan"],"countries":["US","DE","TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":158400,"max":237600,"currency":"USD","period":"year","gross":null,"usd_annual":237600},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest-Assured","optional":false}],"status":"live","first_seen_at":"2025-08-25T00:00:00Z","employer_posted_date":"2026-07-17","last_verified_at":"2026-10-25T21:57:55Z","board_verified":true,"closed_at":null,"days_open":427,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":426},"description":"Company:\nQualcomm Technologies, Inc.Job Area:\nEngineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:\nQualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on Learning-Based Video Compression. You will join a world-renowned team of video compression experts developing next-generation neural video coding technologies and contributing to future video compression standards.\nThe ideal candidate will be a highly self-directed individual with strong creative and analytical skills, and a passion for machine learning, neural compression, and video coding. This role offers the opportunity to contribute to groundbreaking advances in neural video compression while collaborating with experts in machine learning, computer vision, multimedia systems, and video coding standards.\nWe are considering candidates with various levels of experience. We are flexible on location and open to hiring globally, with preferred locations in the USA, Germany, China, and the UK. Qualcomm may provide relocation support for qualified candidates who wish to relocate to one of these locations.\nResponsibilities:\nContribute to the conception, development, implementation, and optimization of novel learning-based video compression algorithms, including neural video coding, learned motion representation, and entropy modeling.\nEvaluate and improve neural and hybrid compression systems using state-of-the-art machine learning techniques and rate-distortion optimization.\nRepresent Qualcomm in related standardization forums including JVET, MPEG Video, and ITU-T/VCEG.\nDocument and present new algorithms and implementations through standards contributions, patent applications, conference papers, presentations, and journal publications.\nIdeal candidate would have the skills/experience below:\nDeveloped innovative machine learning algorithms, preferably related to learned image/video compression, computer vision, or generative AI.\nKnowledge of the theory, algorithms, and techniques used in video coding, rate-distortion optimization, and neural compression.\nExperience with video compression standards such as VVC/H.266, HEVC/H.265, AV1, or emerging neural video coding technologies.\nTrack record of successful research accomplishments demonstrated through publications at leading conferences and/or patent applications.\nExcellent programming skills including Python and C/C++, combined with experience using machine learning frameworks such as PyTorch.\nQualifications:\nPhD or Master's degree in Electrical Engineering, Computer Science, Machine Learning, Applied Mathematics, or related fields.\nExperience developing and evaluating machine learning models for compression, computer vision, or multimedia applications.\nMinimum Qualifications:\n• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR\nMaster's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\nOR\nPhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\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$158,400.00 - $237,600.00The 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":6245,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Processors, MCUs & AI Chips","RF & Wireless Hardware","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-09-11T12:35:39Z"},{"event":"close","at":"2026-09-11T16:54:35Z"},{"event":"reopen","at":"2026-09-12T02:28:18Z"},{"event":"close","at":"2026-09-12T05:28:20Z"},{"event":"reopen","at":"2026-09-12T16:53:34Z"},{"event":"close","at":"2026-09-12T19:53:34Z"},{"event":"reopen","at":"2026-09-12T22:53:34Z"},{"event":"close","at":"2026-09-13T01:53:42Z"},{"event":"reopen","at":"2026-09-14T02:57:07Z"},{"event":"close","at":"2026-09-14T05:57:21Z"},{"event":"reopen","at":"2026-09-14T09:46:52Z"}],"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":"2026-10-15T11:24:14+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":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.292,"p_room":0.28,"age_days":426,"expected_fill_days":74,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":237600,"is_top_pay":true},"html_url":"https://alion.io/job/qualcomm-artificial-intelligence-for-video-compression-research-scientist","json_url":"https://alion.io/job/qualcomm-artificial-intelligence-for-video-compression-research-scientist.json","meta":{"generated_at":"2026-10-26T01:39:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2109,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":94},"rest":"https://alion.io/mcp/rest/get_company?id=94"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqualcomm-artificial-intelligence-for-video-compression-research-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fqualcomm-artificial-intelligence-for-video-compression-research-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fqualcomm-artificial-intelligence-for-video-compression-research-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/qualcomm-artificial-intelligence-for-video-compression-research-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-artificial-intelligence-for-video-compression-research-scientist"}]}