{"id":3998581,"url":"https://alion.io/job/integer-technologies-llc-senior-software-engineer","title":"Senior Software Engineer","company":{"id":4389872,"name":"Integer Technologies, LLC","domain":"integer-tech.com","url":"https://alion.io/company/integer-tech","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Backend","role_family":"Backend","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":["Columbia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"ArangoDB","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Digital Twin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-09T21:47:47Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-11T04:19:17Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Integer Technologies\nInteger is a science and technology research and development organization focused on complex problems. Candidates must be able to conduct research, learn advanced concepts across engineering disciplines, and communicate findings to experts and non-experts.\nCompany Benefits\nInteger fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Meaning Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employee’s thousands of dollars annually.\nRelocation assistance available.\nBase salaries which exceed local & national industry averages.\nYear-end performance-based bonuses.\n401(k) with company matching; no funny business.\nPaid Vacation\nPaid Sick Leave\nPaid Holidays\nCompany Perks\nStartup culture with the stability of a large company. Integer’s business plan has years of time-phased contracted work, alleviating the would-be risk from a traditional small company.\nDirect access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.\nFriendly atmosphere where people enjoy not only their work and what they’re creating but enjoy helping each other as well.\n About the role\nInteger Technologies is hiring a Senior Software Engineer who will report to the Industry 4.0 Engineering Manager within the Digital Engineering Division. This role will lead research, development, and implementation of novel approaches to structuring lithium-ion battery manufacturing data and building a digital thread that makes information available when and where it is needed for optimization, control, and decision-making.\nInteger uses digital engineering tools to optimize large, complex manufacturing systems. Within the Industry 4.0 team, this role will build digital twins and digital threads for advanced battery cell and module manufacturing. The digital thread serves as the authoritative source for models, simulations, historical data, and software tools throughout the product lifecycle.\nWhat you'll do\nServe as the hands-on subject matter expert for data architecture within a collaborative research team. The successful candidate will be forward-thinking, creative, and motivated to build new solutions. Responsibilities include:\nTranslate data into knowledge: Apply ontologies, information theory, data science, machine learning, and AI to make large, diverse data sets understandable and actionable.\nDevelop cohesive data models: Connect and contextualize models, simulations, user inputs, and manufacturing-process data to improve decisions and insights.\nDigital Engineering: Integrate manufacturing data architecture and digital-thread capabilities with digital engineering models and process-modeling tools.\nDrive data-informed process improvement: Collaborate with design and manufacturing teams to apply AI/ML methods and develop surrogate models linking manufacturing variables to product performance and quality.\nTurn research into prototypes: Build functional prototypes, demonstrations, and commercial applications using graph, time-series, relational, and distributed databases; data lakes; and IoT technologies.\nBuild scalable data pipelines: Design and maintain ETL pipelines for APIs, external providers, synthetic models, test equipment, sensors, and industrial control devices.\nRequired Qualifications\nU.S. citizenship and the ability to obtain and maintain a U.S. DoD Secret clearance.\nBachelor's degree in Computer Science, Software/Computer/Electrical Engineering, or a related field.\n5+ years of experience in software development, data architecture, or a related field.\nExperience in database schema design (e.g., Neo4j, MongoDB, ArangoDB, or PostgreSQL) and writing queries in SQL, NoSQL query languages, JSONiq, GraphQL, or Cypher.\nExperiency in programming languages like Python, Java, or Scala.\nExperience designing and maintaining data models and using knowledge graphs, ontologies, or semantic-web technologies to transform data into useful information.\nExperience building systems that use concurrent data streams from physical equipment and simulations, including digital twins.\nStrong problem-solving, attention to detail, communication, and cross-functional collaboration skills.\nDesired Qualifications\nMaster's or doctoral degree in Computer Science, Electrical Engineering, Chemical Engineering, or a related field.\nExperience in advanced or automated high-volume manufacturing, preferably lithium-ion battery manufacturing, or developing tools for manufacturing processes.\nExperience with machine learning, physics-informed deep learning, and frameworks such as TensorFlow or PyTorch.\nFamiliarity with machine-control systems, including sensing, communications, and system-level controls for electrical plants, machinery, and electromechanical systems (PLCs, SCADA, and OT).\nExperience conducting research, applying findings, and using model-based methods to design data models, architectures, or ontologies.\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud.\nExperience with enterprise and manufacturing data systems, including PLM, ERP, and QMS.\nExperience with ROI and cost modeling and managing 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