11 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Own the technical direction and architecture of custom software and simulation solutions.
- Develop, enhance, test, and maintain Discrete Event Simulation models using Siemens Tecnomatix Plant Simulation and SimTalk.
- Translate manufacturing and business requirements into simulation models, process logic, objects, parameters, and scenarios.
- Build models for manufacturing plants, production lines, assembly operations, warehouses, intralogistics, and material-flow systems.
- Model AGVs, AMRs, conveyors, forklifts, tugger trains, ASRS, warehouse automation, and material-handling systems.
- Develop reusable custom objects, class libraries, templates, frameworks, accelerators, and parameterized models.
- Perform capacity, throughput, bottleneck, line-balancing, WIP, cycle-time, resource-utilization, OEE, sensitivity, and optimization analyses.
- Verify and validate models using historical data, process information, stakeholder feedback, and acceptance criteria.
- Integrate simulation models with MES, WMS, ERP, IoT, Digital Twin, databases, APIs, and manufacturing data sources.
- Troubleshoot model logic, performance, data, integration, and execution issues, and perform code and model reviews.
- Maintain technical documentation, specifications, test cases, validation results, and user guides.
- Conduct unit, functional, regression, and performance testing of models and components.
- Collaborate with manufacturing engineers, data engineers, software developers, business users, and client stakeholders.
- Support proofs of concept, feasibility studies, technical demonstrations, workshops, deployments, and client engagements.
- Mentor junior simulation developers and contribute to coding standards, best practices, and development frameworks.
Requirements
- At least 7.5 years of experience is required; the role summary specifies 9+ years of overall experience.
- Bachelor's degree in engineering, industrial engineering, mechanical, manufacturing, mechatronics, automation, production engineering, computer science, or a related discipline.
- Strong hands-on experience with Siemens Tecnomatix Plant Simulation, SimTalk, Discrete Event Simulation, and manufacturing simulation.
- Experience with production, assembly, material handling, logistics, warehousing, intralogistics, and digital manufacturing models.
- Experience with Plant Simulation 3D modeling, object configuration, material flow, resources, buffers, conveyors, transporters, workers, and control logic.
- Strong understanding of manufacturing processes, production planning, capacity, throughput, bottlenecks, WIP, cycle time, takt time, downtime, changeovers, and resource utilization.
- Experience with simulation experiments, statistical analysis, distribution fitting, warm-up analysis, confidence intervals, sensitivity analysis, and optimization.
- Preferred programming or data-processing experience with Python, Java, C#, SQL, or equivalent.
- Experience with Python libraries such as Pandas, NumPy, SciPy, and visualization libraries is advantageous.
- Experience integrating simulation models with MES, WMS, ERP systems, databases, APIs, IoT platforms, and manufacturing data sources.
- Preferred knowledge of Digital Twin, Industry 4.0, Smart Manufacturing, OPC-UA, MQTT, and real-time data integration.
- Exposure to Siemens Opcenter, SAP ME/EWM, Teamcenter, Manhattan, Blue Yonder, or similar platforms is advantageous.
- Experience with AnyLogic, FlexSim, Simio, Arena, WITNESS, or DELMIA is a plus.
- Understanding of software development practices, debugging, testing, version control, Git, Jira/Azure DevOps, and Agile methodologies.
- Strong analytical, problem-solving, communication, documentation, collaboration, and client-facing skills.
- Experience mentoring developers and working independently with global or distributed teams is expected.
- Preferred certifications or exposure include Siemens Plant Simulation, Lean Six Sigma, Industrial Engineering, Digital Manufacturing, Industry 4.0, or related simulation certifications.
- Domain experience in automotive, EV/battery manufacturing, logistics, warehousing, intralogistics, material handling, or digital manufacturing is valued.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.