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Thinking Machines Lab Jobs in Gilbert, AZ (NOW HIRING)

NXP Semiconductors

CVD Equipment Engineer

Chandler, AZ · On-site

$85 - $105/hr

Reduce machine faults* Reduce defectivity* Define and write tool maintenance procedures* Improve ... Work with Maintenance, Manufacturing, Facilities, Analytical Lab and Device Engineering Teams* Work ...

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Thinking Machines Lab information

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$12

$22

$34

How much do thinking machines lab jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for thinking machines lab in Gilbert, AZ is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $24.18 per hour, depending on experience, location, and employer.

What is Thinking Machines Lab?

Thinking Machines Lab is a data science and artificial intelligence consultancy that helps organizations leverage data to solve complex problems and drive innovation. Founded in the Philippines, the company offers services such as data engineering, machine learning, data visualization, and geospatial analytics. Their team works with businesses, governments, and NGOs to design custom solutions and build data-driven strategies. Thinking Machines Lab is known for its expertise in AI and its commitment to ethical and impactful technology.

What are the typical collaboration dynamics for team members at Thinking Machines Lab?

At Thinking Machines Lab, team members often work in cross-functional groups that include data scientists, engineers, designers, and project managers. Collaboration is highly encouraged through regular sprint meetings, project check-ins, and open communication channels. You can expect to engage with both internal colleagues and external clients to co-create data solutions, provide feedback, and iterate on project deliverables. This collaborative environment fosters learning and innovation, making it a great place for professionals who enjoy teamwork and problem-solving.

What are the key skills and qualifications needed to thrive as a data scientist at Thinking Machines Lab, and why are they important?

To thrive as a Data Scientist at Thinking Machines Lab, you need expertise in statistics, machine learning, and data analysis, usually backed by a degree in computer science or a related field. Proficiency in Python, R, SQL, and experience with cloud platforms and data visualization tools are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you deliver actionable insights and work effectively within teams. These skills and qualities are crucial for developing innovative solutions that drive impactful, data-driven decisions for clients.

What is the difference between Thinking Machines Lab vs Data Scientist?

AspectThinking Machines LabData Scientist
Required CredentialsAdvanced degrees in computer science, AI, or related fieldsDegree in statistics, computer science, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, tech companies, AI-focused organizationsCorporate offices, tech firms, consulting agencies
Industry UsageAI research, machine learning development, innovation projectsData analysis, predictive modeling, business insights

Thinking Machines Lab primarily focuses on AI research and machine learning innovation, often within research institutions or tech companies. Data Scientists analyze data to generate insights and support business decisions. While both roles require strong technical skills and knowledge of machine learning, Thinking Machines Lab emphasizes research and development, whereas Data Scientists focus on applying data analysis to real-world problems.

What job categories do people searching Thinking Machines Lab jobs in Gilbert, AZ look for?

The top searched job categories for Thinking Machines Lab jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Thinking Machines Lab jobs?

Cities near Gilbert, AZ with the most Thinking Machines Lab job openings:

Thinking Machines Lab jobs near you

CVD Equipment Engineer

NXP Semiconductors

Chandler, AZ • On-site

$85 - $105/hr

Other

Re-posted 19 days ago

Job description

## CVD Equipment EngineerApplylocations: Chandler (Office)time type: Full timeposted on: Posted Todayjob requisition id: R-10064277**Business Line Description:**NXP’s Front End Operations plays an essential role in the company’s success by ensuring manufacturing excellence and delivery of high quality, scalable, and cost-competitive semiconductor devices to create a winning advantage for our customers.**Job Summary:**Equipment Engineer responsible for CVD in a high-volume manufacturing facility* Identify and reduce sources of variation* Reduce machine faults* Reduce defectivity* Define and write tool maintenance procedures* Improve tool availability, improve Mean Time Between Failure (MTBF) and reduce Mean Time to Repair (MTTR)* Train technicians and peers* Improve cost performance* Specify, source and qualify new equipment and parts* Participate on and/or lead cross functional teams* Support development and transfer activities**Key Challenges:*** Ability to work in a high volume 24x7 manufacturing environment* Ability to work individually, in small work groups or larger teams* Ability to deal with multiple issues and shifting priorities* Must be self-motivated; able to take initiative, self-generate projects, and effectively prioritize work* Willing to adjust work schedule as needed to support factory priorities 24x7* Be responsible for multiple tools across multiple platforms**Cross functional aspects:*** Work with Maintenance, Manufacturing, Facilities, Analytical Lab and Device Engineering Teams* Work with peers in other factories to implement Best Known Methods (BKM)**Job Qualifications:*** BS or MS in an engineering or science discipline* 6+ years of experience in equipment engineering in a high-volume semiconductor manufacturing environment preferred* Previous experience in at least one or more of the following tools is preferred: Applied Materials Centura DXZ, Producer or P5000, Novellus Concept 2, WJ-999* Ability to generate, analyze, and interpret equipment and process performance data and produce a timely action plan to resolve recurring failures* Demonstrated presentation skills. Candidate will be called upon to train others and present complex datasets and equipment problems/ solutions to diverse audiences.* Competent in troubleshooting problems and capable of applying logic to isolate and repair them.* Strong verbal and written communication skills* Ability to interact professionally with manufacturing and equipment engineering to deal with issues and priorities* Good foundational problem solving skills with creative solutions and out-of-the-box thinking* Self-motivated; able to take initiative and effectively prioritize work for self* A strong desire to help create a positive, winning, world class working environment* Previous experience in Lean Manufacturing methods is highly desirable* Good knowledge of FMEA’s and 8D methodologies is preferred #J-18808-Ljbffr

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