610 Training Curriculum Developer jobs in Phoenix,AZ

PhD with 10+ years of directly relevant experience, or Master's degree with 15+ years of experience, in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor related STEM field
Deep, authoritative expertise in dry etch semiconductor manufacturing, with demonstrated leadership over complex process development or platform level solutions
Experience working in dry etch in a foundry
Proven track record of technical ownership and delivery of dry etch process innovations that enabled high volume manufacturing, yield improvement, reliability, or technology node transitions
Expert level understanding of plasma physics, plasma-surface interactions, pattern fidelity, selectivity, defectivity, and profile control for advanced device structures
Demonstrated ability to define long term technical direction and translate research concepts into manufacturable solutions at scale
Extensive experience with advanced data analytics, statistical modeling, and design of experiments (DOE) applied to complex semiconductor process problems
Recognized technical authority who influences decisions across modules, organizations, or technology programs without formal management authority

Liberty Mutual Insurance

Phoenix, AZ 85001

RevolutionParts

Tempe, AZ 85281

0-2 years of experience in a sales or customer-facing environment
Demonstrable experience and proficiency in high-pressure, competitive situations
"no stone unturned" mentality
Willingness to try new concepts and open to coaching
Passion for technology
Ability to thrive in a fast-paced, startup team environment; you're a meticulous, innovative, creative thinker, never satisfied with the status quo
You have outstanding communication skills, both written and verbal; you have a track record of giving successful presentations
Experience using Salesforce is a plus
AI Fluency & Modern ToolingAt RevolutionParts, we expect team members to actively use modern tools — including AI-powered systems — to improve decision-making, productivity, and quality of work.This includes:
Using AI tools responsibly to accelerate research, analysis, documentation, and problem-solving
Exercising strong judgment around data privacy, accuracy, and ethical use
Continuously learning and adapting as AI capabilities evolve
Proven examples of using AI to improve outcomes in prior roles is expected