{"id":3173555,"url":"https://alion.io/job/qualcomm-senior-machine-learning-engineer-end-to-end-autonomous-driving","title":"Senior Machine Learning Engineer – End-to-End Autonomous Driving","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":1116,"ghost_share":0.245,"stale_share":0.136,"repost_share":0.461,"time_to_fill_p50_days":74,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":140800,"max":211200,"currency":"USD","period":"year","gross":null,"usd_annual":211200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Data Augmentation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Computer Vision","optional":true},{"name":"Embodied AI","optional":true},{"name":"Imitation Learning","optional":true},{"name":"Motion Planning","optional":true},{"name":"ONNX","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Rest-Assured","optional":true},{"name":"Self-Supervised Learning","optional":true},{"name":"TensorRT","optional":true},{"name":"Vision-Language-Action","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T01:19:36Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Company:\nQualcomm Technologies, Inc.Job Area:\nEngineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:\nAbout the Role\nWe are seeking a highly motivated Senior Machine Learning Engineer to join our Autonomous Driving AI team and help build the next generation of end-to-end driving intelligence. In this role, you will develop advanced deep learning systems that directly map multimodal sensor inputs into safe and reliable driving behavior.\nYou will work at the intersection of machine learning, autonomous driving, behavioral planning, large-scale training infrastructure, simulation, and safety-critical evaluation. The ideal candidate is passionate about building production-grade AI systems and advancing the state of the art in autonomous vehicle technology.\nResponsibilities\nDesign, develop, and optimize state-of-the-art end-to-end autonomous driving models.\nBuild scalable machine learning pipelines for data processing, training, validation, and deployment.\nDevelop multimodal deep learning architectures that leverage vision, map, route, and vehicle context information.\nDesign and implement behavioral planning and trajectory generation models.\nDevelop goal-conditioned driving systems and controllable AI planning frameworks.\nCreate robust evaluation methodologies and metrics for measuring model quality, safety, and driving performance.\nDevelop simulation-based validation and closed-loop evaluation frameworks.\nInvestigate failure cases and long-tail scenarios to improve model robustness and generalization.\nDesign data augmentation, synthetic data generation, curriculum learning, and self-training approaches.\nCollaborate closely with perception, planning, simulation, systems, and software engineering teams.\nDrive innovation through new algorithms, technical leadership, publications, and patent generation.\nContribute to production deployment and optimization of machine learning models on automotive platforms.\nMinimum Qualifications:\n• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\nOR\nPhD in Computer Science, Engineering, Information Systems, or related field.\nPreferred Qualifications:\nMaster's or Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Artificial Intelligence, or a related field.\n5+ years of industry or research experience in machine learning, deep learning, computer vision, robotics, or autonomous driving.\nStrong programming skills in: PythonPyTorchC++ (preferred)\nDeep understanding of: Deep LearningMachine LearningNeural Network DesignComputer VisionTransformersRepresentation LearningMultimodal Learning\nExperience training and evaluating large-scale deep learning models.\nExperience building end-to-end ML workflows from data ingestion through deployment.\nStrong software engineering fundamentals including code quality, version control, testing, and reproducible experimentation.\nExperience in autonomous driving, ADAS, robotics, or embodied AI.\nExperience with end-to-end planners and AI planning systems.\nExperience with trajectory prediction, motion planning, or behavior modeling.\nExperience with reinforcement learning, imitation learning, or self-supervised learning.\nExperience building simulation and closed-loop evaluation frameworks.\nFamiliarity with ONNX, TensorRT, distributed training, and model optimization techniques.\nPublications at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or CoRL.\nExperience filing patents or developing novel machine learning technologies.\nWhat You'll Work On\nEnd-to-End Autonomous Driving Systems\nVision-Language-Action (VLA) Models\nAI-Based Driving Planners\nGoal-Conditioned Driving Policies\nLarge-Scale Deep Learning Training Infrastructure\nTrajectory Prediction and Vehicle Behavior Modeling\nClosed-Loop Evaluation and Simulation\nSafety-Critical Validation Pipelines\nData-Centric AI and Long-Tail Learning\nAutonomous Vehicle Foundation Models\nWhy Join Us\nYou will have the opportunity to solve some of the most challenging problems in artificial intelligence and autonomous driving while working with a world-class team of researchers and engineers. Your work will directly influence the development of next-generation autonomous vehicle technologies deployed at scale.\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$140,800.00 - $211,200.00The 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":7411,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Consumer Electronics","Smartphones","Headphones & Audio","Edge AI"],"lifecycle":[{"event":"open","at":"2026-10-23T19:16:05Z"}],"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":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":18,"expected_fill_days":74,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":211200,"is_top_pay":true},"html_url":"https://alion.io/job/qualcomm-senior-machine-learning-engineer-end-to-end-autonomous-driving","json_url":"https://alion.io/job/qualcomm-senior-machine-learning-engineer-end-to-end-autonomous-driving.json","meta":{"generated_at":"2026-10-27T01:45:22Z","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":746,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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-senior-machine-learning-engineer-end-to-end-autonomous-driving"},{"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-senior-machine-learning-engineer-end-to-end-autonomous-driving"},{"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-senior-machine-learning-engineer-end-to-end-autonomous-driving"},{"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-senior-machine-learning-engineer-end-to-end-autonomous-driving\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-senior-machine-learning-engineer-end-to-end-autonomous-driving"}]}