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How much do intuitive machines jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for intuitive machines in Arizona is $26.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $30.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Intuitive Machines position?

To thrive at Intuitive Machines, candidates typically need a strong background in aerospace engineering, robotics, or computer science, often supported by relevant degrees or practical experience in similar fields. Familiarity with CAD software, programming languages like Python or C++, and exposure to systems such as embedded controls or simulation environments is highly valued. Excellent problem-solving, effective communication, and adaptability are critical soft skills for collaborating within multidisciplinary project teams. These capabilities ensure that employees can contribute to complex missions and projects, from lunar landers to advanced space technologies, in a fast-paced and innovative environment.

What types of projects and daily tasks can I expect if I join Intuitive Machines?

At Intuitive Machines, you can expect to work on cutting-edge aerospace and robotics projects, such as lunar landers, spacecraft avionics, and autonomous systems. Daily tasks often include collaborating with engineers from various disciplines, participating in project planning meetings, developing and testing software or hardware systems, and analyzing mission-critical data. The work environment is team-oriented and highly innovative, encouraging continuous learning and hands-on problem-solving. You will also have opportunities to contribute creative ideas and see the impact of your work on real-world space missions.

What is an Intuitive Machines job?

An Intuitive Machines job typically involves working in the aerospace, robotics, or AI industries, focusing on technologies that support space exploration and autonomous systems. Employees may work on developing lunar landers, spacecraft, or artificial intelligence solutions for various applications. Roles range from engineering and software development to project management and business operations. The company collaborates with NASA and other organizations to advance space exploration efforts.

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Intuitive Machines jobs near you
Infographic showing various Intuitive Machines job openings in Arizona as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $55,481 per year, or $26.7 per hour.

Principal Data Scientist - Factory Intelligence (Tucson)

Prattwhitney

Tucson, AZ • On-site

$107K - $204K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Principal Data Scientist – Factory Intelligence

Location: Tucson, Arizona. Work type: Hybrid. U.S. citizens only. Security clearance: Secret (required prior to start, interim clearance available).

What you will do
  • Transform factory data into actionable intelligence that improves production performance.
  • Collaborate with Engineering, Operations, and Quality teams to build and deploy predictive analytics solutions.
  • Develop models that directly impact yield, reduce variation, and support smarter decision‑making.
  • Design, deploy, and maintain production‑grade machine learning solutions.
  • Build intuitive data visualization tools and statistical analysis applications.
  • Partner with stakeholders to translate complex data into clear, practical insights.
  • Provide technical leadership and mentor junior data scientists and engineers.
  • Establish best practices in applied data science across the organization.
  • Become a subject‑matter expert in factory test data and uncover opportunities for improvement.
  • Solve challenging, data‑driven manufacturing problems and deliver measurable production enhancements.
  • Work directly with customers to ensure data is fully leveraged to improve performance.
  • Contribute to scalable, production‑ready data science solutions and help advance the organization’s analytics standards.
  • Operate effectively in a fast‑paced, multi‑tasking environment.
Qualifications You Must Have
  • University degree or equivalent experience and a minimum of 8 years of relevant experience, or an advanced degree and a minimum of 5 years of experience.
  • Experience developing in Python (NumPy, SciPy, scikit‑learn, scikit‑image) for production‑grade statistical or machine learning applications.
  • Demonstrated experience deploying, maintaining, and scaling machine learning models in production environments.
  • Experience with relational database management and SQL development.
  • U.S. citizen. Active and transferable U.S. government‑issued security clearance required prior to start; U.S. citizenship required as only citizens are eligible for a clearance.
Preferred Qualifications
  • Experience with statistical tools such as Minitab, R, JMP, or SAS.
  • Strong knowledge of machine learning pipelines and MLOps practices (e.g., MLflow), including versioning, monitoring, and lifecycle management.
  • Strong experience applying quantitative techniques (normalization, standardization, applied statistics) to analyze large, complex datasets and build deployable machine learning models, including in cloud environments such as AWS or Azure.
  • Experience designing, training, fine‑tuning, and deploying deep learning models using frameworks such as PyTorch or TensorFlow.
  • Experience working with large language models (LLMs), including fine‑tuning, evaluation, and deployment; or demonstrated deep knowledge of LLM concepts and architectures.
  • Experience operating in a technical leadership or mentoring role.

Salary range: $107,500 - $204,500 USD.

Benefits are available to Hired applicants, including medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits depend on the business unit and collective‑bargaining agreement.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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