Software Engineer (AI Data Engineering)

6 дн. назад

СШАOnsite

data pipelinesautomationsoftware development

Develop and maintain AI-driven data engineering software for processing flight, test, and factory data to support engineering decisions at .

Develop reliable, scalable pipelines, data analysis libraries, and services on vehicle telemetry and test data
Build and improve user-facing analysis applications
Prototype quickly (notebooks, reports, agents, computer vision, or APIs), then productionize what proves out — including video/inspection review where it saves engineering hours
Own software from design through test, deploy, and operation
Deep-dive with domain experts across avionics, GNC, propulsion, structures, and launch operations

Bachelor's degree in computer science, data science, engineering, math, physics, or a scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
1+ years of experience in software engineering, data engineering, or data science
Position is based in Hawthorne, CA and is primarily on-site
Willing to work extended hours and weekends when needed
Willing to travel when needed
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 .

Programming experience in Python (C# or similar is a plus)
Experience with data analysis libraries (pandas, NumPy, SciPy)
Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
Experience with data exploration tools (Grafana, Jupyter, Metabase, or similar)
Experience with relational databases (PostgreSQL)
Experience building APIs and internal web applications
Experience applying computer vision (OpenCV, Ultralytics, or similar) to production video or image review
Familiarity with HPC or batch compute (schedulers, containers, shared filesystems) — not required; we will teach the cluster
Good understanding of version control, testing, CI, deploy, and monitoring
Some front-end experience (React, Angular, or similar)
Ability to communicate clearly with users and domain experts

Pay Range: Level 1: $125,000.00 - $160,000.00 Level 2: $145,000.00 - $195,000.00
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at . You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

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 is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
The AI Data Engineering team is more than just some products, our mission is to accelerate engineers across the company with AI driven tools, giving them more time to decide whether Starship is good for launch, a Starlink satellite is good to leave the factory, and the next design iteration works.
As part of the team, you will build software that turns flight, test, and factory data, into actionable decisions and insights into the hardware. You’ll own data pipelines, automation tools, and user-facing application that engineers rely on every day, and accelerate these workflows with AI.
We are looking for engineers who treat teammates with fairness, respect, and support. Aerospace experience is not required. You will have full ownership of hard production problems and will work with domain experts who use these tools on the critical path to flight, across all business verticals, from design to GNC to vehicle software engineers to flight operations.