Develop and maintain automated simulation pipelines that generate training datasets for AI surrogate models at scale
Partner with domain engineers to identify bottlenecks and build custom tools that improve productivity and reduce manual effort
Create and optimize scripts using APIs such as ANSA Python API, Star-CCM+ Java/Python macros, OpenTD, Abaqus, or equivalent tools
Build parametric workflows for geometry variation, automated meshing, batch simulation execution, and result extraction
Orchestrate large-scale simulation campaigns on HPC clusters using job schedulers and workflow managers
Collaborate closely with ML engineers to understand dataset requirements and iteratively improve data quality and diversity
Implement data management, cleaning, metadata tagging, and versioned storage of simulation results
Develop general automation tools and scripts to accelerate engineering workflows across simulation, analysis, design, and testing tasks
Deep dive into engineering physics domains to ensure simulation setups are accurate, robust, and efficient for surrogate training
Integrate simulation tools with version control, CI/CD pipelines, and monitoring systems for reproducible datasets
Stay current with advances in simulation automation, meshing technology, and best practices for ML-ready datasets
BASIC QUALIFICATIONS:
Bachelor’s degree in engineering, computer science, data science, math, physics, or a related technical discipline; OR 4+ years of professional experience building software or simulation pipelines in lieu of a degree
1+ years of software development experience
1+ years of hands-on experience with at least one simulation domain (CFD, FEA, thermal, structural analysis, etc.)
PREFERRED SKILLS:
Experience with ANSA, Star-CCM+, OpenFOAM, Abaqus, OpenTD, OpenFOAM, CalculiX or similar commercial/in-house/open source simulation tools
Strong proficiency scripting simulation APIs (especially ANSA Python API or Star-CCM+ automation)
Demonstrated success building automated workflows that run thousands of simulations for dataset generation
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Understanding of Design of Experiments (DOE) and sampling techniques such as Latin Hypercube (LHS)
Experience working in HPC environments with job schedulers such as Slurm or equivalent
Familiarity with surrogate modeling concepts and the data requirements of neural operators, FNOs, physics-informed ML, or similar models
Familiarity with deep learning and preparing data for ML workflows
Proficiency with Python for scientific computing and automation
Experience developing on Linux systems
Strong understanding of version control, testing, continuous integration, build, deployment, and monitoring
Good understanding of statistics, numerical methods, and core engineering simulation techniques
ADDITIONAL REQUIREMENTS:
Ability to work extended hours and weekends as necessary
COMPENSATION AND BENEFITS: Pay Range: AI Software Engineer/Level I: $125,000.00 - $145,000.00/per year AI Software Engineer/Level II: $145,000.00 - $175,000.00/per year 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 SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, 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.
ITAR REQUIREMENTS:
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.
SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.
About SpaceX
Aerospace & Defense51-200Founded 2002
Aerospace manufacturer and launch services provider designing advanced rockets and spacecraft with the goal of making life multiplanetary.
