Top Tech Jobs & Startup Jobs

Drive quality assurance activities in a manufacturing environment, including nonconformance resolution, final and incoming inspections, containment, root cause analysis, corrective actions, quality metrics, and quality planning. Collaborate with production, planning, manufacturing engineering, purchasing, and project teams to ensure process compliance, support continuous improvement, and maintain standards including ISO 9001, AAR, and IRIS.

Ten-week summer finance internship featuring rotations or assignments across FP&A, commercial finance, supply chain finance, and controllership. Interns will analyze data, support forecasting and reporting, improve processes, contribute to business decisions, and present recommendations to Finance stakeholders. The program includes coaching, feedback, exposure to senior leaders, and potential consideration for Wabtec’s two-year Finance LEAD rotational program.

Ten-week Summer 2027 engineering internship for college students supporting transportation and rail technology projects. Interns may work in design engineering, sustainability, systems, hands-on testing, controls, alternative fuels, cooling, embedded software, or engine performance. The program provides real business experience, technical development, networking, and professional activities, with potential pathways to rotational or full-time engineering roles.

A 10-week summer internship offering college students hands-on experience across manufacturing operations, supply chain, logistics, materials, sourcing, quality, continuous improvement, engineering, sustainability, and EHS. Interns will work on real business projects, develop technical and leadership skills, collaborate independently and in teams, and participate in professional and networking activities. Applicants must have completed at least one year of college, be enrolled in a relevant four-year degree program, work 10–12 weeks, and be authorized to work in the U.S. without sponsorship.

A 10-week summer digital internship for college students pursuing engineering, computer science, cybersecurity, or related technical degrees. Interns work on real projects involving digital technology, embedded software, machine vision, data analytics, systems engineering, RF communications, sustainability, testing, and enterprise software across transportation and industrial businesses. The program includes technical development, leadership exposure, networking, and professional activities, with placement at U.S. company sites.

Paid 10-week IT internship involving substantial technology projects, leadership development, executive mentorship, and exposure to cloud computing, machine learning, cybersecurity, project management, and agile software development. Interns collaborate across departments, solve technical challenges, learn emerging tools, and build analytical, communication, and leadership skills. Assignments are in person in Pittsburgh or Chicago, with potential relocation assistance and possible consideration for a full-time rotational IT program.

Design, develop, test, and maintain embedded software applications for rail transportation products. Responsibilities include requirements, architecture, design, code and unit-test reviews; automated testing; documentation; root-cause analysis; software releases; cybersecurity vulnerability remediation; and participation throughout the software development lifecycle.

Procures materials for production, issues and monitors purchase orders, adjusts orders based on production planning, tracks inventory, matches material invoices, communicates with suppliers, and collaborates with purchasing, production planning, quality, logistics, and warehouse teams.

Perform product design and drafting for engine and locomotive components using Siemens NX; create manufacturing drawings per ASME Y14.5/ISO; manage ECRs/ECNs in Teamcenter; collaborate with cross-functional teams; expand technical expertise in engine/locomotive domains.

Design, build, and curate trusted datasets and semantic layers for self-service analytics. Partner with stakeholders to develop AI/ML and generative AI solutions (LLMs, agents), implement data models, maintain documentation, ensure governance and data quality, and support platform evaluations and analytics use cases.