{"id":4201746,"url":"https://alion.io/job/valeo-working-student-manufacturing-development-epowertrain","title":"Working Student - Manufacturing Development ePowertrain","company":{"id":4446,"name":"Valeo","domain":"valeo.com","url":"https://alion.io/company/valeo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":299,"ghost_share":0,"stale_share":0.963,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"intern","employment_type":"part_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Erlangen, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-12T22:29:29Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T10:07:11Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.\nWe are looking for YOU asWorking Student Manufacturing Development ePowertrain for our location inErlangen\nThese challenges await you:\nAI Tool Development & Workflow Optimization: Leverage modern AI tools (e.g., Generative AI, LLMs, prompt engineering) and traditional machine learning to develop and deploy solutions that streamline manufacturing workflows.\nProcess Analytics & Data Visualization: Build interactive dashboards to visualize AI model performance and production metrics for manufacturing engineers and plant management.\nInnovation Support: Actively assist in the execution, management, and tracking of innovation activities within the field of ePowertrain Manufacturing\nManufacturing Technology: Support the development of novel production technology\nCross-functional Collaboration: Work closely with process engineers to understand manufacturing pain points and translate them into actionable, data-driven solutions\nYou inspire us with that:\nCurrently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Artificial Intelligence, Electrical/Mechanical Engineering, Industrial Engineering, or a closely related field\nStrong programming proficiency (e.g., Python). Hands-on experience with applied AI tools (e.g., Gemini, Claude, LLM APIs) as well as standard data science and ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch)\nA strong interest in automotive manufacturing, e-mobility, or hardware production. Previous exposure to manufacturing data or robotics is a strong plus\nAbility to tackle complex, unstructured problems and translate raw data into actionable manufacturing insights\nStrong communication skills, openness, and enthusiasm for working in interdisciplinary teams.\nStructured, independent, and meticulous way of working, combined with a quick comprehension of complex technical topics\nFluent in English; proficiency in German is highly advantageous\nWhy Valeo:\nAt VALEO, we firmly believe that great technologies are born out of passion.\n Compensation package. Performance-related salary components and company pension scheme (allowance).\nCareer development. Scope to develop your own ideas as well as professional and personal development opportunities worldwide.\nBenefits. Allowances for sports, health, pension scheme, canteen, JobRad, free employee parking spaces, regular employee events and social support for a family-friendly environment.\nFlexibility. Working models that harmonize your professional and private life.\nWork environment. Flat hierarchies and modern working methods provide you with an innovative working environment.\nThe future. We work together on the mobility trends of tomorrow.\nGood to know:\nYour contact person: Isabel SAMBA; \nWe value equal opportunities and welcome applications from people with diverse backgrounds as well as from people with disabilities.\nFor data protection reasons, please submit your application documents exclusively online via the job portal on our website\nFollow us onLinkedIn andKununu!\nJob:\nManufacturing Trainee/Apprentice/VIEOrganization:\nPG Manufacturing/Process/EngineeringSchedule:\nPart timeEmployee Status:\nTrainee (Fixed Term) (Trainee)Job Type:\nTrainee / InternshipJob Posting Date:\n2026-11-12Join Us !\nBeing part of our team, you will join:\n- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development\n- a multi-cultural environment that values diversity and international collaboration\n- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth\n- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development\nMore information on Valeo: https://www.valeo.com","description_format":"text","description_chars":4275,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"German","level":"Advanced (C1)","optional":true},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Automotive Manufacturing","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-11-12T22:29:29Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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