{"id":49766,"url":"https://alion.io/job/qualcomm-robotic-embodied-ai-engineer","title":"Robotic Embodied AI 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":72,"open_postings":1213,"ghost_share":0.221,"stale_share":0.123,"repost_share":0.47,"time_to_fill_p50_days":74,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Robotics","role_family":"Robotics","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beijing, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":132000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":55},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Autonomous Navigation","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embodied AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Quantization","optional":false},{"name":"Transformers","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"VLM","optional":false},{"name":"LLM","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2025-07-03T00:00:00Z","employer_posted_date":"2025-10-28","last_verified_at":"2026-10-16T20:10:05Z","board_verified":true,"closed_at":null,"days_open":470,"trust":{"level":"ghost","repost_count":2,"flags":["stale","repost"],"days_open":470},"description":"Company:\nQualcomm China\nJob Area:\nEngineering Group, Engineering Group > Machine Learning Engineering General Summary:\nWe are seeking a few highly qualified Robotics AI System engineers who will be responsible for designing, implementing, training and deploying state-of-the-art embodied AI models on Qualcomm platform.\nBasically, the candidate must have a strong knowledge of machine learning algorithms, particularly those related to robotics use-cases (autonomous navigation, vision-based perception, robot arm manipulation, or lidar processing ML algorithms). Model optimization and quantization experience are also important.\nThe ideal candidate must be well-versed in recent advancements in Vision Transformers, Action Transformers, and VLM/VLA models. The role requires facilitating collaboration with various Qualcomm horizontal AI teams.\nStrong communication and interpersonal skills are required.\nMinimum Qualifications:\nMaster's degree in Computer Science, Engineering, or related field and 5+ years of Systems Engineering, Software Engineering, or SIT experience in robotics projects.\nOR\nPhD in Computer Science, Robotics, Artificial Intelligence, or Computer Vision and 2+ years of Systems Engineering.\nPreferred Qualifications:\nPhD in related field with 5+ years of relevant experience, or master’s with 10+ years.\nStrong understanding of Machine Learning fundamentals with multiple external publications/patents.\nGeneral LLM/VLM development pipeline.\nReinforcement learning knowledge and training skills, and sim2real.\nHands-on development experience of end-to-end robot applications.\nGood at embedded software development with excellent analytical, development, and problem-solving skills.\nBeing familiar with Pi_0 or GROOT N1 is a great plus.\nLevel of Responsibility:\nWorks independently with minimal supervision.\nProvides supervision/guidance to other junior team members.\nDecision-making is significant in nature and affects work beyond immediate work group.\nRequires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.\nHas a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).\nTasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.\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).\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.\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. 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