SW customer engineer ensuring successful technology integration for Autonomous Driving systems at Mobileye. Hands - on role troubleshooting complex issues with car manufacturers and R&D teams.
About the role
- Lead Solutions Architect specializing in Product Lifecycle Management for Acuity Inc. Driving product data management and integration across engineering and commercial domains.
Responsibilities
- Serve as the key point of contact & solution architect for the product engineering domain - across all product areas, including Parts & Components, Product Catalog, Bills of Materials (BoMs), CAD integrations, and Product Master Data (PIM)
- Design and evolve scalable architecture for managing multi-level products, configurable products, and engineering hierarchies within PLM systems (e.g., PTC Windchill) and PIM systems
- Enable end-to-end integration between CAD/EDA tools (e.g., Altium, SolidWorks, PTC Creo) and PLM platforms to support design traceability and digital thread workflows
- Lead the selection, integration, and governance strategy for Product Lifecycle Management (PLM) platforms that support the global product engineering team, product catalog syndication, and attribute enrichment
- Build seamless product data flows between engineering (PLM), commerce (PIM), Integration (ex, MuleSoft), ERP, MDM, and customer-facing applications
- Establish and standardize processes for creating, managing, and distributing high-quality Product Master Data
- Drive integration architecture using MuleSoft, RESTful APIs, or similar platforms to ensure robust, secure connectivity across systems
- Incorporate monitoring and analytics tools (e.g., Grafana, ElasticSearch, Power BI) to support operational transparency and product data service reliability
- Explore and apply Generative AI to accelerate attribute creation, component matching, and intelligent product metadata transformation
- Partner with security, data governance, and business stakeholders to enforce standards, ensure compliance, and support scalable innovation
- Serve as an advisor and thought leader across product and engineering domains, enabling teams to execute efficiently on complex data and system requirements
- Define standards for architecture documentation using modeling tools, methods, and industry best practices – C4 models, etc.
- Perform duties with minimal supervision, manage multiple priorities effectively, and delegate tasks as needed
- Guide other engineers and inspire team members to achieve individual and team goals
- Lead the organization to design, develop & deploy Generative AI applications, integrating with various enterprise-grade semantic search across document repositories
- Implement DevOps automation, including CI/CD pipelines, infrastructure provisioning (IaC), and deployment strategies
- Build high-performance RESTful APIs and streaming microservices for real-time data processing and distribution
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 10+ years of experience in enterprise solution architecture with a strong focus on PLM, PIM, and product data ecosystems in a global B2B model
- Deep expertise in PTC Windchill PLM, including product structures, change/configuration management, and BOM management (eBOM, mBOM, pBOM translations)
- Hands-on experience with CAD/EDA integrations across Creo, SolidWorks, Altium, and ThingWorx, enabling seamless design-to-manufacturing workflows
- Proven track record leading Altium upgrades and integrations with Git repositories, Windchill, and enterprise systems
- Strong background in Product Information Management (PIM) for product catalog syndication, attribute enrichment, and commerce/ERP alignment
- Demonstrated success in data governance, product master data management, and global data migration initiatives, ensuring accuracy, compliance, and scalability
- Expertise in integration architectures using MuleSoft, RESTful APIs, and event-driven systems for cross-platform connectivity
- Strong understanding of .NET technologies, including .NET Core & .NET Framework
- Experience with Agile development methodologies
- Skilled in Azure cloud-native architecture, containerization (Docker, Kubernetes), and microservices-based design
- Proficiency with Azure DevOps (ADO) for CI/CD pipelines, automated testing, and infrastructure-as-code (ARM/Bicep)
- Strong understanding of Agile/Scrum methodologies, including backlog management, sprint ceremonies, and delivery transparency
- Excellent communication and leadership skills, proven ability to align cross-functional stakeholders across Engineering, Manufacturing, ERP, and Commerce
- Available to work onsite and travel based on business needs.
Benefits
- health care
- dental coverage
- vision plans
- 401K benefits
- commissions/incentive compensation depending on the role
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