> Markdown version of [/jobs/ext/4566081-software-engineer](https://www.wearedevelopers.com/jobs/ext/4566081-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SOFTWARE ENGINEER - **Company:** Space Exploration Technologies Corp. - **Location:** Brownsville, TX, United States - **Salary:** $125,000.0 - **Contract:** Permanent contract - **Skills:** Web Interfaces, Computer Vision, Automation of Tests, Big Data, C Sharp (Programming Language), Continuous Integration, Relational Databases, Database Queries, Linux, Python (Programming Language), PostgreSQL, NumPy, OpenCV, Tensorflow, SciPy, Transcoding, Web Application Frameworks, Data Processing, High Performance Computing, Pytorch, Large Language Models, Pandas, Scikit Learn, Kubernetes, Information Technology, Video Analysis, Docker - **Published:** November 4, 2026 - **Apply:** https://www.themuse.com/jobs/spacex/software-engineer-full-stack-data-video-analysis ## About the Role * Bachelor's degree in computer science, engineering, mathematics, physics, or another scientific discipline, or 2+ years of professional software experience in lieu of a degree. * 1+ years of full-stack development experience. * 1+ years of experience writing Python for data processing, services, or user-facing application code. PREFERRED SKILLS AND EXPERIENCE: * Experience with video platforms and their infrastructure, including ingest, storage, transcoding, playback, and review of high-volume engineering video. * Strong familiarity with large language model tools and capabilities, including how they work and where they can be used, or experience applying them to computer vision problems. * Experience with computer vision libraries (OpenCV, Ultralytics), machine learning frameworks (PyTorch, scikit-learn), or serving models for inference, including live inference. * Experience with the Python data stack (Pandas, NumPy, SciPy) and with relational databases such as PostgreSQL. * Experience with time-series or other signal data, including cleaning, transforming, and analyzing it. * Experience profiling and optimizing data-heavy software, such as query latency, memory use, throughput, or interactive rendering of large datasets. * Experience with Linux, Docker, Kubernetes, HPC systems, a web application framework, or CI/CD. * Experience running production services, including deployment, monitoring, alerting, and incident response. * Experience with a second language used for services or applications, such as Go, Rust, or C#. * Experience shipping internal tools that engineers rely on in their work., * 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. ## Description * Design, build, and maintain full-stack applications and platforms used across production, test, and flight, including data processing that turns telemetry, sensor data, or video into analysis engineers can use. * Work directly with vehicle, propulsion, test, manufacturing, and inspection engineers on their most important analysis problems. * Build the internal tools and web interfaces engineers use to query, visualize, and act on engineering data and on the results of automated analysis. * Profile and improve performance where engineers feel it: data processing, database queries, and interactive views of large telemetry or video. * Integrate statistical models, computer vision, or large language models into review workflows for anomaly detection and inspection. * Move prototypes into production with automated tests, CI/CD, and a repeatable release process. * Manage the infrastructure our applications run on, including deployments, monitoring, operations, and capacity planning. * Operate the applications in production: respond to failures, restore service, and carry the fix into the software and into how the system is run. * Move across processing, interfaces, models, and operations, and learn unfamiliar parts quickly enough to ship.