IT staffing and manufacturing software integration services
PDSSOFT operates a staffing and project services business with deep manufacturing software focus. The tech stack—anchored in SCADA, MES, ERP, and PLM integrations alongside cloud platforms (AWS, GCP, Snowflake)—reveals a customer base in discrete manufacturing and industrial operations. Current hiring is engineering-heavy (4 of 5 roles) at senior/mid levels, and active projects center on MES-ERP-PLM integration and change-control workflows, matching stated pain points around reducing friction in manufacturing change management.
PDSSOFT is an IT staffing and consulting firm headquartered in Cupertino, California, specializing in recruitment and project delivery across the US, Canada, India, and LATAM. The company serves mid-market and enterprise manufacturing and industrial clients, with deep expertise in shop-floor systems integration—MES, ERP, PLM, and SCADA platforms. Beyond staffing, PDSSOFT delivers software development and project management services, including manufacturing execution system module development, change-control process automation, and systems integration work. The 201–500 employee organization was founded in 2008.
PDSSOFT uses Jira for project management; cloud platforms including AWS, GCP, and Snowflake for data and analytics; Splunk and Grafana for monitoring; Kafka for messaging; and industrial/manufacturing stacks including SCADA, MES, FANUC, Allen-Bradley, and iSeries systems.
Current projects include MES integration with ERP and PLM systems, Solumina MES module development, change-control and new-product-introduction process workflows, and proof-of-concept development for manufacturing enhancements.
PDSSOFT INC.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.