Sr. Software Engineer, Full Stack (Data & Video Analysis)

SpaceX•Hawthorne, CA

12h

About The Position

The Vehicle Analysis Tooling team builds applications used by production, test, and flight. This role owns the full path of those systems: platforms that ingest and process high-volume engineering data such as telemetry, sensor data, and video; tools and interfaces engineers use to review analysis and act on it; and the infrastructure that runs the applications. The work spans data processing, video, applied models, interfaces, and operations, with an expectation that the engineer will learn unfamiliar areas quickly enough to deliver production software. The engineer partners with vehicle, propulsion, test, manufacturing, and inspection engineers to solve important analysis problems, with success measured by time saved and problems caught. The role includes taking statistical models, computer vision, or large language models from evaluation into production review workflows, and maintaining visibility into the quality of their results. It also sets technical direction and team practices for testing, CI/CD, observability, code review, performance, reliability, and incident response. Compensation is listed at Level 3, with a base pay range of $165,000 to $265,000. Actual level and salary may vary based on job-related knowledge and skills, education, and experience. The total rewards package may include long-term incentives such as company stock or long-term cash awards, potential discretionary bonuses, and an employee stock purchase plan. Benefits include medical, vision, and dental coverage; a 401(k) plan; short- and long-term disability insurance; life insurance; paid parental leave; discounts and perks; three weeks of accrued paid vacation; 10 or more paid holidays annually; and paid sick leave under company policy.

Requirements

Bachelor's degree in computer science, engineering, mathematics, physics, or another scientific discipline, or at least 8 years of professional software experience in lieu of a degree.
At least 5 years of software development experience.
At least 3 years of experience building and operating production applications or data systems, including full-stack development.
At least 3 years of experience building production Python systems, including data processing, services, or user-facing application code.
At least 1 year leading technical work, including design reviews, project direction, and responsibility for the quality of code the team ships.

Nice To Haves

Production 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 in production.
Experience shipping applied machine learning, statistical models, or computer vision into systems others depend on, or serving models for inference, including live inference.
Experience with relevant tools such as PyTorch, OpenCV, Ultralytics or other YOLO-family detectors, and scikit-learn.
Production experience with the Python data stack, including Pandas, NumPy, and SciPy, and PostgreSQL.
Experience with time-series or other signal data, including cleaning, transformation, feature extraction, and analysis, or experience taking models from training through deployment and maintenance.
Experience profiling and optimizing production data systems or interactive applications, including query latency, memory use, throughput, or interactive rendering of large datasets, and maintaining performance gains as volume grows.
Experience operating production infrastructure, including Linux, Docker, Kubernetes, HPC systems, a web application framework, CI/CD, batch or job processing, or observability.
Experience leading incident response and reliability work for multi-service applications, including monitoring and alerting.
Experience with a second language used for services or applications, such as Go, Rust, or C#.
Experience leading internal tools engineers rely on, including projects spanning hardware and software teams.

Responsibilities

Lead the design, implementation, and maintenance of full-stack applications and platforms used across production, test, and flight.
Build data processing systems that turn telemetry, sensor data, or video into analysis engineers can use and that feeds model inference.
Work directly with vehicle, propulsion, test, manufacturing, and inspection engineers on analysis problems, measuring success by time saved and problems caught.
Build internal tools and web interfaces engineers use to query, visualize, and act on engineering data and automated analysis results.
Profile and improve performance in data processing, database queries, and interactive views of large telemetry or video; define how the team measures and maintains performance as volume grows.
Take statistical models, computer vision, or large language models from evaluation into production review workflows for anomaly detection and inspection, and keep the quality of results visible in production.
Move prototypes into production with automated tests, CI/CD, and a repeatable release process.
Set team architecture and practices for testing, CI/CD, observability, and code review.
Own application infrastructure, including deployments, monitoring, operations, capacity planning, and reliability.
Operate applications in production, respond to failures, restore service, and incorporate fixes into software and operational practices.
Raise monitoring and incident-response standards as usage grows.
Work across processing, interfaces, models, and operations; learn unfamiliar areas quickly and help other engineers do the same.
Mentor engineers and set technical direction for software and its operation.

Benefits

Potential long-term incentives in the form of company stock or long-term cash awards.
Potential discretionary bonuses.
Employee stock purchase plan with the ability to purchase additional stock at a discount.
Comprehensive medical coverage.
Vision coverage.
Dental coverage.
401(k) retirement plan.
Short- and long-term disability insurance.
Life insurance.
Paid parental leave.
Various other discounts and perks.
Three weeks of accrued paid vacation.
10 or more paid holidays per year.
Paid sick leave under company policy.