1491 Senior Software Engineer Education jobs in Houston,TX

Senior NDT Engineer - Advanced Inspection Technologies

NOV

Houston, TX 77051

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.

ABM

Houston, TX 77246

Bachelor's degree or equivalent experience
2+ years of service sales experience, including prospecting and closing new business through cold calls and self-generated leads
Experience in facility services, janitorial, commercial real estate, or healthcare environments strongly preferred
Ability to write and present compelling, detailed proposals
Experience pricing labor within proposals is a plus
Familiarity with healthcare-specific challenges such as infection prevention, patient experience, and safety compliance
Hunter sales mentality: goal-driven and self-motivated
Proven success selling services or intangible solutions
Comfortable presenting to healthcare executives and decision-makers
Organized and efficient with the ability to manage multiple prospects at various stages
Collaborative and able to work effectively with internal teams
Advanced computer skills in MS Office and Salesforce (or similar CRM)
Self-disciplined and results-driven with a track record of high performance

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.