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Spacex Machine Learning Jobs in Texas (NOW HIRING)

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Spacex Machine Learning information

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Radar Systems Engineer - Signal Processing

Radar Systems Engineer - Signal Processing

TerraFirma, Inc.

Austin, TX • On-site

Full-time

Re-posted 22 days ago


Job description

At TerraFirma, we’re redefining how the world moves earth for construction. Founded by former SpaceX engineers and backed by Kleiner Perkins and Bain Capital Ventures, TerraFirma is automating construction to make it faster, cheaper, and safer.

 

Our Story & Mission

At SpaceX, we were part of the teams that built the largest rocket in human history, launched the largest constellation of satellites ever made, and delivered connectivity to millions of people worldwide. What we learned was simple: infrastructure is everything.

At Starbase, the biggest barrier to launching missions to Mars was not building the rocket. It was how slow, expensive, and complex it was to build the infrastructure around it. We lacked buildings, roads, water, power, communications, and waste management, and constructing them took far more time and resources than it should have.

From a first-principles perspective, that doesn't make sense. It shouldn't be this hard or costly to create the foundations for progress. That’s when we realized something important: the same engineering mindset that enabled us to tackle space exploration and mass manufacturing could be applied to infrastructure. By bringing the principles of simplification, iteration, acceleration, and automation to construction, we can unlock a new era in how the world builds.

Accelerating infrastructure unlocks progress across every domain, creating a self-sustaining engine for tackling humanity’s toughest challenges. The innovations we develop on Earth will lay the groundwork for the technologies that one day make settlement on Mars possible.

 

Job Overview

In this role, you’ll take hands-on ownership of various systems spanning hardware and software, and analog and digital domains. Initially, you'll lead the development of a new DSP system from concept to functional prototype, owning the full hardware and software stack. Daily tasks will include designing and testing RF frontends, analyzing digital signals, running field tests, and creating algorithms to detect patterns and synthesize sensor data for extracting meaningful features from RF and EM interactions with the environment. Alongside building custom hardware, you’ll oversee validation and testing campaigns as needed.

 

Responsibilities

  • Own the system architecture for an electromagnetic sensing application from concept through first prototype

  • Design and validate new sensor hardware. Must be comfortable with RF circuit and antenna concepts and ready to dive into real-time FPGA processing

  • Develop, test, and deploy algorithms in realms of sensor fusion, image processing, and object detection in Python/R/C++. Be ready to explore reinforced learning for a higher degree of confidence

  • Work with interdisciplinary teams to design, test, and deliver custom hardware and software solutions

  • Take on leadership roles when required, mentor new employees, and actively participate in the hiring process

 

Basic Qualifications

  • B.S. in Electrical Engineering, Computer Engineering, or a closely related field

  • 2+ years of professional or project experience with RF, DSP, or electrical engineering with hands-on hardware development and prototyping

  • Proficiency in fundamentals of signals analysis and electrical engineering

  • Demonstrated experience owning large-scale deliverables, leading teams, and driving product roadmaps

 

Preferred Skills & Experience

  • Strong background in digital and image signal processing, machine learning, and efficient manipulation of large datasets for high-throughput analysis

  • Experience designing or testing radar systems including antennas/frontends targeting the VHF and UHF bands

  • Experience with FPGAs, including hardware design, HDL programming, and common low-level and embedded protocols

  • Experience prototyping with SDR and open source tools like GNU Radio

  • PCB design experience for rapid prototyping, including schematic capture and layout

  • Familiarity with C/C++, Python/R, and Linux systems

  • Solid understanding of antenna design and analysis

  • Experience designing and running test campaigns for qualification/acceptance for custom hardware

  • Experience with component selection and integration for SoCs, FPGAs, MCUs, and custom ICs

 

Additional Requirements

  • Must be willing to work extended hours or weekends when needed to support critical deadlines or triage urgent deployment issues

  • Comfortable with working in a fast-paced startup environment

  • Must be willing to relocate to Austin, TX if not within commuting distance

 

Compensation & Benefits

Base compensation will vary based on factors such as relevant experience and education. Salaries and leveling will be determined on a case-by-case basis if an offer is extended. Our total compensation package also includes equity in TerraFirma. Relocation packages are available to help cover moving costs, if applicable.