2175 Software Engineer Leader jobs in Houston,TX

Bachelor's degree in Physics, Engineering, Mathematics, or a related technical discipline.
5+ years of experience in nondestructive testing (NDT) or nondestructive evaluation (NDE).
Hands-on experience with ultrasonic testing technologies.
Experience supporting the design, development, testing, or implementation of inspection systems.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Ability to work independently and within a multidisciplinary engineering team.
Ability to work in both office and laboratory environments.
Ability to occasionally travel to manufacturing facilities, customer locations, and field operations.
Ability to lift and handle inspection equipment as required.
Ability to stand, walk, and perform testing activities for extended periods when necessary.

Dover Corporation

Houston, TX 77047

Taken Materials or Mechanical Engineering courses or a technical degree in a relevant field (Associate degree or higher)
Previous materials testing and lab experience (preferred)
Basic knowledge of 3D modeling and CNC programming
Proficiency with MS Office Products
Willingness to work in a lab environment (standing, lifting up to 30 Ibs, PPE requirements, etc)

Global Marine Safety Services

Houston, TX 77084

Emerson

Pasadena, TX 77505

High School Diploma or equivalency (G.E.D.)
2+ years of experience in a manufacturing role.
Strong mechanical aptitude is a must.
Ability to perform in a fast-paced environment while maintaining a professional and effective approach in high-stress situations.
Proficiency in reading and interpreting engineering drawings, blueprints, and other technical documents.
Experience with precision measuring tools and instruments such as micrometers, calipers, and gauges.
Basic to intermediate proficiency with ERP systems (Oracle preferred) and Microsoft Excel for data entry, tracking, and reporting.

Houston, TX 77002

MSc or PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline).
Hands-on experience (typically 5+ years) designing, prototyping, productionizing, maintaining, and scaling ML/data science products in sophisticated environments.
Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions.
Applied knowledge of data science and ML tools across all stages of the data and model lifecycle.
Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing.
Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++).
Advanced SQL knowledge.
Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring.
Knowledge of experimental design, analysis, and scientific methodology.