{"id":1643220,"url":"https://alion.io/job/quantumscape-smts-battery-manufacturing-quality-engineer-data-imaging","title":"SMTS, Battery Manufacturing Quality Engineer (Data & Imaging)","company":{"id":58763,"name":"QuantumScape","domain":"quantumscape.com","url":"https://alion.io/company/quantumscape","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":112500,"max":163200,"currency":"USD","period":"year","gross":null,"usd_annual":163200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"Image Segmentation","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"BigQuery","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Microsoft Office","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-19T07:00:00Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-10-12T16:54:00Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"QuantumScape is on a mission to transform energy storage with solid-state lithium-metal battery technology. The company’s next-generation batteries are designed to enable greater energy density, faster charging and enhanced safety to support the transition away from legacy energy sources toward a lower carbon future.\nAbout the team: Manufacturing Quality is a diverse group of engineers and data scientists who bring deep expertise in materials science, electrochemistry, statistics, and machine learning. Our team thrives on data-driven decision-making and a shared commitment to drive continuous improvement to QuantumScape’s solid-state battery technology. We work closely with the Manufacturing, Reliability, and R&D, groups to identify failure modes, engineer critical-to-quality specifications, and implement robust control strategies across all process areas.\nWhat we need: The Manufacturing Quality team is seeking a highly motivated engineer who is energized about improving the quality and reliability of our solid-state Li metal batteries. You will leverage a diverse set of data-driven and computational methodologies to detect critical defect modes on our cells and develop robust specifications to be implemented on the manufacturing line. The ideal candidate has a hard sciences background, battery or semiconductor industry experience, and the ability to communicate complex technical information to a diverse group of stakeholders. If you enjoy problem-solving and thrive in a highly collaborative, fast-paced environment, we'd like to hear from you.\nWhat You’ll do:\nDevelop subject-matter expertise on battery components and collaborate cross-functionally on in-line metrology systems and imaging post-processing techniques.\nDevelop computer vision detection algorithms and machine learning models, including building comprehensive labeling rulebooks, coordinating labelers, and maintain model performance as processes and chemistries change over time.\nCollaborate with R&D engineers through weekly in-person team meetings to generate new metrics or deep learning models that capture defect modes in 2D and 3D images.\nLeverage advanced statistical and machine learning techniques to uncover complex patterns in large datasets of battery and component-level electrical test outcomes.\nBuild predictive models that identify key features in metrology and microscopy images of cells, separators, and cathodes to predict downstream electrical performance, and propose opportunities to tighten specifications to drive improved product reliability.\nCollaborate with cross-functional engineers to develop repeatable measurement processes for battery cells and components, where data is uploaded to the database and results serve as CTQs and specifications for process-quality tracking.\nLeverage AI agents to query manufacturing data and clean and process it, applying critical judgment to select the best data science methodologies and rapidly apply them to internal projects.\nSkills You’ll Need:\nBS degree in Engineering, Data Science, Statistics, Computer Science, Applied Math, Applied Physics, or equivalent fields. MS or PhD preferred.\n5+ years of experience working on highly complex problems in Materials Science, Physics, Chemistry, Engineering, or equivalent fields, such as the battery or semiconductor industries.\nStrong programming skills, especially in Python, including 2+ years of experience with data science and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, TensorFlow, and PyTorch.\nExperience with computer vision and image processing techniques (e.g., image segmentation, object/defect detection, OpenCV) applied to 2D and/or 3D imaging data.\nIndustry experience with statistical analysis for manufacturing processes, such as regression (e.g., linear, logistic), t-tests, comparison of different test groups, and survival analysis.\nExperience developing machine learning models such as tree-based models (e.g., decision trees, random forest, XGBoost) or deep learning models (e.g., neural networks, autoencoders) to predict binary or continuous outcomes using large, complex datasets.\nAbility to communicate findings to colleagues from various disciplines through clear and concise reports, presentations, and data visualizations.\nNice to have:\nFundamental understanding of battery electrochemistries and failure mechanisms. Familiarity of electrical test and metrics.\nProficiency with SQL to query data from database and data warehouse storage (e.g., GCP's BigQuery).\nExperience deploying and monitoring machine learning models in production, or familiarity with MLOps practices for maintaining model performance over time.\nProficiency with AI-assisted tooling for querying, cleaning, and processing data, to accelerate data analysis and visualization, model development, etc.\nProficiency with JMP, Microsoft Office, and VSCode.\nPhysical requirements:\nOccasional work is performed in a dry room or lab area, requiring gowning in a full bunny suit\nSitting or standing for extended periods of time\nONSITE: This position is required to work onsite 4-5 days per week to meet the minimum essential duties and requirements of this position. As an on-site R&D and manufacturing operations organization, in-person face to face interaction is essential to building authentic relationships, trust, teamwork, and collaboration.\nCompensation & Benefits: Expected salary range for this role is from $112,500 to $163,200 and a final salary will be determined by the candidate's experience, educational background and internal equity. QuantumScape also offers an annual bonus and a generous RSU/Equity package as part of its compensation plan. In addition, we do offer a tremendous benefits plan including employee paid health care, Employee Stock Purchase Plan (ESPP), and other benefits.\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request an accommodation.","description_format":"text","description_chars":6354,"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":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy & Utilities","Manufacturing","Energy Storage"],"lifecycle":[{"event":"open","at":"2026-10-01T22:41:57Z"}],"visa":[],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.692,"p_room":0.55,"age_days":23,"expected_fill_days":22,"reasons":["conf:12","velocity","win:tail"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":163200,"is_top_pay":true},"html_url":"https://alion.io/job/quantumscape-smts-battery-manufacturing-quality-engineer-data-imaging","json_url":"https://alion.io/job/quantumscape-smts-battery-manufacturing-quality-engineer-data-imaging.json","meta":{"generated_at":"2026-10-13T13:33:00Z","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":20968,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":58763},"rest":"https://alion.io/mcp/rest/get_company?id=58763"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fquantumscape-smts-battery-manufacturing-quality-engineer-data-imaging"},{"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%2Fquantumscape-smts-battery-manufacturing-quality-engineer-data-imaging"},{"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%2Fquantumscape-smts-battery-manufacturing-quality-engineer-data-imaging"},{"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/quantumscape-smts-battery-manufacturing-quality-engineer-data-imaging\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fquantumscape-smts-battery-manufacturing-quality-engineer-data-imaging"}]}