{"id":2116033,"url":"https://alion.io/job/aptiv-senior-engineer-algorithms","title":"Senior Engineer - Algorithms","company":{"id":5724,"name":"Aptiv","domain":"aptiv.com","url":"https://alion.io/company/aptiv","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Troy, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":153000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":4338},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Multimodal AI","optional":true},{"name":"Sensor Fusion","optional":true},{"name":"SLAM","optional":true},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-10-08T23:22:33Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-10T22:48:03Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We are Aptiv - a global technology company with 190,000 specialists in 46 countries. We develop innovative software and build the hardware to bring autonomous driving cars, advanced driver-assistance systems, connected vehicles and smart cities to life in a way that only we can. We work in partnership with almost all car manufacturers. Our sensors, systems and software can already be found in almost all passenger cars today.\nWith our deep domain expertise, Aptiv is developing solutions that solve our customers' toughest challenges. We are enabling the transition to software-defined vehicles supported by electrified and intelligently connected architectures - which will combine to power the future of mobility.\nWhy join Aptiv? You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of the world’s leading automotive brands. See your work come to life on the road-helping make mobility safer, greener, and more connected. Ready to shape the future of mobility with us?\nSummary\nWe are seeking an experienced Machine Learning and Autonomous Driving Algorithms Engineer to develop, integrate, validate, and deploy production software for parking assistance and low-speed autonomous-driving systems. The role requires strong expertise in machine learning, Python software development, scalable data and training pipelines, and algorithm validation in real-world environments.\nThe engineer will work closely with algorithm, software, systems, validation, and vehicle integration teams to solve challenging perception, localization, sensor-fusion, state-estimation, threat-assessment, and planning problems. This position will support global L0-L3 autonomous-driving programs and drive technical initiatives from concept through production deployment while following a rigorous V-cycle and safety-focused development process.\nResponsibilities and Duties\nDevelop perception, localization, prediction, planning, sensor-fusion, state-estimation, and threat-assessment algorithms for autonomous-driving and parking functions.\nDesign, integrate, test, and release production software and algorithms for internal and external customers.\nDevelop and deploy machine-learning algorithms using Python and frameworks such as PyTorch and/or TensorFlow.\nDesign, implement, and maintain scalable ML training, evaluation, and data-processing pipelines.\nWork with large-scale datasets to improve model performance, robustness, and generalization.\nDevelop and optimize modern deep-learning models, including Transformer-based neural networks.\nValidate algorithms through simulation, laboratory testing, proving-ground evaluation, real-vehicle testing, and real-road testing.\nImprove algorithm performance across diverse environments, operating conditions, vehicle platforms, and global customer programs.\nPerform root-cause analysis of model failures, missed detections, false detections, performance regressions, and safety-related issues.\nUse data-centric methods, including data-quality improvement, dataset balancing, scenario coverage, labeling strategy, and targeted data collection, to improve model performance.\nDevelop algorithms for parking-space recognition, parking-line detection, object recognition, obstacle detection, localization, vehicle alignment, and parking control.\nSupport state estimation and threat assessment for safe and reliable autonomous-driving operations.\nInvestigate challenging perception and sensor-fusion problems involving cameras, ultrasonic sensors, radar, lidar, and other vehicle sensors.\nDesign and execute functional-performance tests and confirm compliance with system and customer requirements.\nApply a disciplined V-cycle development process to support safety-critical automotive software and electronics.\nCollaborate with downstream software, systems, validation, and integration teams to support globally deployed L0-L3 autonomous-driving systems.\nWork in Linux development environments using Git-based workflows, code reviews, automated testing, and CI/CD practices.\nSupport cloud-native or AWS-based ML infrastructure and scalable platforms used by multiple engineering teams.\nDrive technical initiatives from initial concept and experimentation through algorithm maturation, vehicle integration, validation, and production deployment.\nCommunicate technical findings clearly and work analytically, creatively, and collaboratively to resolve complex engineering problems\nMust Have (Basic Qualifications)\nEducation\nMaster's degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, Applied Mathematics, or equivalent.\n8+ years of industry experience developing production software and algorithms.\nPhD may substitute for a portion of experience.\nMachine Learning\n5+ years hands-on experience developing and deploying machine learning algorithms.\nStrong understanding of:supervised learning\ndeep learning\nmodel evaluation\ndataset development\nerror analysis\n\nExperience with PyTorch and/or TensorFlow.\nSoftware Development\nStrong Python development experience.\nExperience building scalable software systems.\nExperience working in Linux development environments.\nProficiency with Git-based development workflows and CI/CD practices.\nData & Training Pipelines\nExperience designing, implementing, or maintaining ML training pipelines.\nExperience with large-scale datasets and data processing workflows.\nExperience performing root-cause analysis of model failures and performance regressions.\nCross-Functional Execution\nExperience working with algorithm, software, systems, and validation teams.\nDemonstrated ability to drive technical initiatives from concept through production deployment.\nPrefer to Have (Preferred Qualifications)\nModern Deep Learning\nExperience developing Transformer-based neural networks.\nExperience with:Vision Transformers\nMulti-modal architectures\nFoundation Models\nGenerative AI techniques\n\nExperience optimizing and scaling large-model training.\nAutonomous Driving / Robotics\nExperience developing perception, prediction, localization, planning, or sensor-fusion algorithms.\nExperience working with:camera\nradar\nlidar\nultrasonic\nvehicle signals\n\nExperience shipping production ADAS or autonomous-driving features.\nMLOps & Cloud Infrastructure\nExperience with AWS or cloud-native ML infrastructure.\nExperience with:experiment tracking\nmodel registry\nautomated retraining\nmodel deployment pipelines\ncontinuous evaluation\n\nExperience building scalable ML platforms used by multiple teams.\nData-Centric AI\nExperience with:annotation workflows\nactive learning\nsynthetic data generation\ndata quality metrics\nscenario mining\n\nExperience improving model performance through data strategy rather than architecture changes alone.\nSensor Fusion and Localization\nExperience with:sensor fusion\nprobabilistic estimation\nKalman filtering\nSLAM\nfactor graph optimization\n\nTraits We Seek\nCuriously investigate everything - ability to solving problems analytically, creatively and collaboratively\nSeriously execute V-cycle procedure - a mindset to develop safety electronics to enhance driving safety\nLearn by doing - an entrepreneurial mindset that’s driven by hands-on experimentation\nEmbrace resilience - seeing every challenge as a learning opportunity and invitation to grow\nAptiv Rewards and Advantages\nCompetitive compensation with bonus potential\nCompetitive health benefits\n401K with matching contribution\nLearning and development opportunities\nDiscount programs with various manufacturers and retailers\nRecognition for innovation and excellence\nOpportunities to give back to the community\nMeaningful work that makes a difference in the world\nRelocation assistance (if applicable)\nYOUR BENEFITS AT APTIV:\nPrivate health care effective day 1 of employment\nLife and accident insurance\nPaid Time Off (Holidays, Vacation, Designated time off, Parental leave)\nRelocation assistance may be available\nLearning and development opportunities\nDiscount programs with various manufacturers and retailers\nRecognition for innovation and excellence\nOpportunities to give back to the community\nTuition Reimbursement\nAPPLY TODAY, AND TOGETHER LET’S CHANGE TOMORROW!\n“Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law”\nPrivacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates\nAptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.\nPrivacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates\nAptiv is an equal employment opportunity employer. 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