1672 Application Engineer jobs in Pittsburgh,PA

Associate Director, AI Application Engineer

KPMG

Pittsburgh, PA 15219

UPS

Pittsburgh, PA 15222

Bechtel Plant Machinery

Monroeville, PA 15146

Bachelor's degree in Engineering, Computer Science, Information Technology, Information Systems, or related degree, from an accredited college or university.
A minimum of nine (9) years of relevant experience including IT systems deployment, infrastructure management, and/or software development.
Advanced degrees (e.g., Master's, Ph.D.) may be considered as a partial substitute for required experience, depending on the relevance to the position, but may not fulfill the entire experience requirement.
Requires a security clearance; however, all qualified candidates will be considered regardless of their current clearance status.
The ability to obtain and maintain a Department of Energy security clearance is required.
BPMI is a drug-free workplace. Candidates accepting a job offer will be required to pass a pre-placement drug screening and background investigation.
U.S. citizenship is a requirement for security clearance applicants.
All employees are subject to being randomly selected for drug testing without advance notification.

Adecco

Pittsburgh, PA 15237

Synopsys

Canonsburg, PA 15317

General Dynamics Mission Systems

Canonsburg, PA 15317

Requires a Bachelor's degree in Manufacturing or Industrial Engineering, or a related Science, Engineering, Technology or Mathematics field.
2+ years of job-related experience, or a Master's degree and 6 months of job-related experience.
Department of Defense Secret security clearance is required within a reasonable period of time.
Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
Due to the nature of work performed within our facilities, U.S. citizenship is required.
U.S. citizenship is required.
Solid knowledge of manufacturing processes and electrical/mechanical components, systems and applications
Solid understanding of lean techniques, statistical analysis, and continuous improvement mindset
Solid background in troubleshooting advanced electrical and mechanical equipment
Experience in writing detailed work instructions
Experience with MRP and other manufacturing systems
A data-driven decision making approach