Software Engineer, Full Stack (Data & Video Analysis)
SpaceX · Hawthorne, CA
About this role
**SpaceX — Vehicle Analysis Tooling (Full Stack, Data & Video Analysis)** SpaceX is building the technologies to enable human life on Mars. The Vehicle Analysis Tooling team builds the applications that production, test, and flight depend on—owning the full path from high-volume data ingestion and processing (telemetry, sensor data, video) to the tools and interfaces engineers use to review analysis and act on it, plus the infrastructure those systems run on. --- **Responsibilities** - 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 internal tools and web interfaces to query, visualize, and act on engineering data and automated analysis results. - Profile and improve performance (data processing, database queries, interactive views of large telemetry/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 infrastructure: deployments, monitoring, operations, and capacity planning. - Operate production applications: respond to failures, restore service, and carry fixes into both software and system operations. - Move across processing, interfaces, models, and operations—learn unfamiliar areas quickly enough to ship. --- **Basic Qualifications** - 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 & Experience** - Experience with video platforms/infrastructure (ingest, storage, transcoding, playback, review of high-volume engineering video). - Familiarity with large language model tools/capabilities, including where they can be used, or experience applying them to computer vision problems. - Experience with computer vision libraries (OpenCV, Ultralytics), ML frameworks (PyTorch, scikit-learn), and serving models for inference (including live inference). - Experience with the Python data stack (Pandas, NumPy, SciPy) and relational databases such as PostgreSQL. - Experience with time-series/signal data (cleaning, transforming, analyzing). - Experience profiling and optimizing data-heavy software (query latency, memory use, throughput, interactive rendering of large datasets). - Experience with Linux, Docker, Kubernetes, HPC systems, a web application framework, or CI/CD. - Experience running production services (deployment, monitoring, alerting, incident response). - Experience with a second language for services/apps (Go, Rust, or C#). - Experience shipping internal tools engineers rely on. --- **Compensation & Benefits** - **Pay Range:** - Level 1: **$125,000.00 – $160,000.00** - Level 2: **$145,000.00 – $195,000.00** - Actual level/base salary determined case-by-case based on job-related knowledge/skills, education, and experience. - Total rewards may include long-term incentives (company stock/long-term cash awards), potential discretio
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