SpaceX
Operations Engineer, Applied AI (Application Software)
Bastrop, TX; Cape Canaveral, FL; Hawthorne, CA; McGregor, TX; Redmond, WA; Starbase, TX; Vandenberg, CA · On-site · Mid
- Discipline
- Software
- Industry
- Aerospace
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Application Software
Operations Engineer, Applied AI (Application Software) at SpaceX seeks an engineer to partner with internal teams, design AI-enabled platforms, and deploy LLM-powered solutions. Role blends technical depth with collaboration across Sales, Product, and Engineering to deliver practical, safe AI applications.
Day shift · 1+ years · Bachelor’s degree in a STEM or engineering discipline
Required
- Bachelor’s degree in a STEM or engineering discipline
- 1+ years of experience working in engineering or operations/process development
- Experience in supporting cross-functional teams
- Knowledge of large language models / AI concepts
- Ability to build prototypes or proof-of-concepts
- Strong collaboration with internal teams
Preferred
- Hands-on experience supporting cross-functional teams
- Experience with LLMs or AI deployments
- System design / architecture experience
- Prototyping / POC development
- Strong communication skills
Benefits
- medical
- 401k
- PTO
- equity
Employer description
SpaceX 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 SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
OPERATIONS ENGINEER, APPLIED AI (APPLICATION SOFTWARE)
As an Operations Engineer on SpaceX’s team, you will act as a key technical partner. You’ll help internal teams across different programs explore the capabilities of different platforms and design smart, effective strategies for incorporating large language models into their products and infrastructure. This hybrid role blends strong technical depth with strong interpersonal skills to empower different teams within the company to create powerful AI-powered solutions while prioritizing safety and responsible deployment.
You’ll collaborate closely with Sales, Product, and Engineering teams to support them from early exploration all the way through successful implementation. Using your engineering background, you will build practical testing approaches and create robust system designs that deliver meaningful results.
RESPONSIBILITIES:
- Work alongside internal teams to uncover their needs and design technical approaches that closely align with their goals
- Serve as the main technical point of contact, supporting end-to-end while coordinating with internal teams to ensure strong outcomes
- Build prototypes and proof-of-concept applications that clearly illustrate effective ways to integrate with Spok/Grok
- Advise on system-on-system architecture and support teams in developing advanced applications powered by LLMs – Large Language Models
- Keep current evolving LLM technologies, best practices, and the tools commonly used in fast-moving environments
BASIC QUALIFICATIONS:
- Bachelor’s degree in a STEM or engineering discipline
- 1+ years of experience working in engineering or operations/process development
PREFERRED SKILLS AND EXPERIENCE:
- Hands-on experience supporting cross- functional teams and a solid grasp of their fast-paced environment, limited resources, and specific pain points, specifically in engineering disciplines
- Ability to code along with a track record of developing production-level applications
- Experience with shipping real-world applications using large language models and related machine learning tools to lead cross-functional groups
- Knowledge of common LLM techniques including prompt design, evaluation methods, agent systems, and retrieval architecture
- Previous experience working with AI product design, development, integration, and/or test
- Demonstrated ability to work under pressure and deliver expeditious results across multiple parallel priorities
- Previous experience innovating process improvements, AI integrations, and AI system design in an enterprise setting
- Positive, "can-do" attitude, self-starter, and ability to work in a high-pace dynamic environment
ADDITIONAL REQUIREMENTS:
- Must be willing to work extended hours and weekends as needed
- Must be willing to travel up to 25% of the time to visit different sites
- Ability to pass Air Force background checks for Cape Canaveral and Vandenberg
- This role requires you to be onsite. Remote and/or hybrid work will not be considered
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 [email protected].
Stateside Spec lists roles for engineering teams in the United States. Work-authorization notes come from the employer. We do not guarantee visa policy. Apply off-site. Report an issue with this listing View employer source