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Spacex Machine Learning Jobs in Texas (NOW HIRING)

MAINTENANCE SUPERVISOR (STARLINK) SpaceX is looking for an experienced maintenance supervisor to ... Responsible for root cause analysis reports to feedback learning and improvement opportunities to ...

SOURCING MANAGER, OPEX (STARLINK) One of the most ambitious missions that SpaceX has undertaken to ... Support commodities such as machined parts, electromechanical equipment, large machining, finish ...

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$23.8K

$39.7K

$82K

How much do spacex machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for spacex machine learning in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do at SpaceX?

A Machine Learning Engineer at SpaceX applies advanced data analysis, artificial intelligence, and machine learning techniques to solve complex aerospace challenges. This includes developing predictive models, automating data processing, and improving spacecraft systems such as guidance, navigation, and control. They work closely with software, hardware, and engineering teams to integrate ML solutions into real-world spaceflight applications, enhancing mission efficiency and safety. Their work can impact areas like rocket trajectory optimization, anomaly detection, and even autonomous spacecraft operations.

What are some typical challenges faced by machine learning engineers at SpaceX, and how are they addressed within the team?

Machine learning engineers at SpaceX often face unique challenges such as working with large-scale, high-fidelity data from rockets and spacecraft, as well as ensuring models perform reliably in mission-critical environments. These challenges are addressed through close collaboration with aerospace engineers, frequent code and model reviews, and rigorous testing in simulated and real-world conditions. Team members are encouraged to share insights and best practices, fostering a supportive environment where creative problem-solving and continuous learning are highly valued.

What are the key skills and qualifications needed to thrive as a SpaceX Machine Learning Engineer, and why are they important?

To thrive as a SpaceX Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and experience with large-scale data analysis. Proficiency in Python, TensorFlow or PyTorch, and experience with cloud computing platforms or high-performance computing systems are commonly required. Exceptional problem-solving skills, collaboration, and adaptability enable engineers to tackle complex challenges in a fast-paced, innovative environment. These skills are crucial for developing robust, scalable AI solutions that drive SpaceX's technological advancements in aerospace.

What is the difference between Spacex Machine Learning vs Spacex Data Scientist?

AspectSpacex Machine LearningSpacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related fields; experience in ML algorithmsDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentResearch and development teams focused on AI models and automationData analysis, visualization, and reporting within engineering teams
Employer & Industry UsagePrimarily in AI/ML projects for automation, navigation, and roboticsData analysis and insights for engineering, operations, and product development

Spacex Machine Learning specialists focus on developing AI models and algorithms for automation and robotics, requiring deep technical expertise in machine learning. Spacex Data Scientists analyze data to inform decisions and optimize processes, often working with large datasets. While both roles require strong technical skills, Machine Learning roles are more research-oriented, whereas Data Scientists focus on data analysis and interpretation within the SpaceX environment.

What are the most commonly searched types of Spacex Machine Learning jobs in Texas? The most popular types of Spacex Machine Learning jobs in Texas are:
What are popular job titles related to Spacex Machine Learning jobs in Texas? For Spacex Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Spacex Machine Learning jobs in Texas look for? The top searched job categories for Spacex Machine Learning jobs in Texas are:
Infographic showing various Spacex Machine Learning job openings in Texas as of June 2026, with employment types broken down into 1% Internship, 12% Full Time, 83% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
Instrumentation & Controls Engineer, Solar Cell Factory (Starlink)

Instrumentation & Controls Engineer, Solar Cell Factory (Starlink)

SpaceX

Bastrop, TX • On-site

Full-time

Posted 28 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
INSTRUMENTATION & CONTROLS ENGINEER, SOLAR CELL FACTORY (STARLINK)
The Solar Cell team is revolutionizing power generation for space applications through advanced solar cell manufacturing. We're scaling production of high-efficiency solar cells to support sustainable energy solutions for Starlink constellations, launch vehicles, and beyond. As a Solar Cell Factory Instrumentation & Controls Engineer, you will design, build, and optimize controls and automation systems for the delivery of critical gases and chemicals in solar cell fabrication. This role requires a detail-oriented engineer passionate about safe handling of hazardous materials in a high-volume manufacturing environment, ensuring reliable control code and safe instrumentation and design of processes like vacuum deposition and etching while minimizing risks and maximizing efficiency in our cutting-edge solar cell factory.
RESPONSIBILITIES:
  • Design, implement, and maintain automation systems including PLC programming and SCADA development for gas farm operations (e.g., vaporizers, storage, and transfer systems) and wastewater treatment processes (e.g., solids separation, clarification, and chemical dosing) to ensure safe, efficient, and compliant performance
  • Develop and program PLC control logic, PID loops, and interlocks for centralized control of distributed subsystems, optimizing for real-time monitoring of parameters such as pressure, temperature, flow, pH, and effluent quality
  • Select, calibrate, and integrate field instrumentation (e.g., transmitters, sensors, analyzers) in hazardous environments, ensuring compatibility with safety standards like SIL, ATEX, and EPA/NPDES regulations
  • Lead commissioning, FAT/SAT testing, and troubleshooting of control systems, performing root-cause analysis to minimize downtime and support 24/7 operations with rapid alarm response
  • Design electrical systems compliant to NEC, NFPA, & UL508A regulations

BASIC QUALIFICATIONS:
  • Bachelor's degree in engineering, physics, or chemical discipline
  • 1+ years of experience with fluids/systems manufacturing, controls and automation, and/or programming (internship and extracurricular experience is applicable)

PREFERRED SKILLS AND EXPERIENCE:
  • Excited by a quick and iterative design and manufacturing role
  • Proven ability to solve complex problems with simple solutions in both design and implementation stages
  • Excellent communication skills both written and verbal, with the ability to make plans and directional recommendations collaboratively and cross-functionally
  • Ability to engineer creative, new approaches to problems while adhering to ANSI/RIA15.06/OSHA safety requirements to keep a factory safe
  • Hazardous process expertise in an aerospace, oil and gas, or chemical industry where high pressure or hazardous systems for fluids or gasses were in use

Experience with at least one of the specific disciplines listed below. The ideal candidate is interested in learning at least the fundamentals of the other areas they are not yet strong in.
Electrical/Industrial Controls:
  • Electrical sizing of motors, valves, pneumatics, cables, circuit protection, VFDs, motor starters, various other motion systems
  • Design of fail-safe electrical circuits using both safety logic controllers and safety-rated relays
  • Hands-on experience troubleshooting industrial electrical systems using tools like multimeters, oscilloscopes, EMI probes
  • Proficiency in understanding and creating electrical schematics and single line diagrams (EPLAN preferred)
  • Field bus networks, serial communication, Profinet and Ethernet communications
  • Hands-on experience designing and commissioning high quality electrical panels and electro-mechanical systems with appropriate safety considerations in mind
  • Knowledge of NEC, NFPA, UL508A codes with ability to ensure compliance with control system safety standards

Industrial Software:
  • PLC programming, preferably Siemens TIA Portal structured text + ladder
  • HMI, SCADA, IoT (MQTT, OPC-UA), ignition systems with focus on user friendly navigation and machine health monitoring and control
  • Field Bus Networking protocols, preferably EtherCAT, Profinet, Profisafe, Ethernet/IP
  • Robotics programming, preferably ABB
  • Industrial software application to mechanical assemblies, electrical systems, sensors, pneumatics/hydraulics, including how to safely checkout these interdisciplinary systems prior to production implementation

ADDITIONAL REQUIREMENTS:
  • Ability to work long hours and weekends as necessary to support critical milestones

ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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