Application Software Engineer, Applied AI

SpaceX
Cape Canaveral, FL

Who this role is best for

Aimed at mid-level engineers with AI product delivery experience who can work onsite in a high-reliability environment, prioritizing agentic systems and large language models in aerospace and infrastructure software.

Best fit for

  • Mid-level engineers with a track record of shipping AI-powered applications and systems
    — “proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features”
  • Candidates with full-stack development experience and production AI deployment skills
    — “1+ years of experience in full stack development”
  • Individuals who can build rigorous evaluation frameworks and observability systems for AI
    — “Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring”

Things to consider

  • This role mandates in-person presence at Cape Canaveral and requires U.S. citizenship or residency
    — “This role requires you to be onsite. Remote and/or hybrid work will not be considered”
  • Candidates must be eligible for an Air Force background check and ITAR compliance
    — “ability to pass Air Force background check for Cape Canaveral”

How to stand out

  • Highlight experience with agentic systems, multi-agent orchestration, and LLM fine-tuning
    — “deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration”
  • Emphasize contributions to production AI systems, not just research or prototyping
    — “own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production”
  • Demonstrate expertise in Docker, Kubernetes, and data streaming technologies like Kafka
    — “Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)”
  • Showcase experience in building AI evaluation systems and observability tools
    — “Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation)”
  • Demonstrate proficiency in both front-end and database technologies for full-stack credibility
    — “front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • delivering AI products
  • integrating AI solutions into production systems
Typical background
software engineeringAI engineering

Skills & requirements

Required

Full Stack DevelopmentAI SystemsLarge Language ModelsAgentic SystemsProduction SystemsEvaluation FrameworksProduction Observability

Preferred

LLM Techniques

Stack & domain

PythonReactGoJavaTypeScriptKafkaRedpandaFlinkAWSAzureGCPDockerKubernetesTerraformCDKEchartsGrpcPostgreSQLProtobufRadixReduxArrowDatafusionParquetRustArgo CDGithub ActionsGrafanaKustomizeLinuxPrometheusTerragruntLeadershipCommunicationCollaborationProblem-solvingTeamworkAerospaceAISoftware Engineering

About the role

Original posting from SpaceX via Greenhouse

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.

APPLICATION SOFTWARE ENGINEER, APPLIED AI

The application software team is the central nervous system of SpaceX – we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.

In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems—including large language models and agentic systems—that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.

Aerospace experience is not required – rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.

RESPONSIBILITIES:

Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations

Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities

Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production

Deep dive into users’ problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions

Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment

Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost

Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs

BASIC QUALIFICATIONS:

Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree

1+ years of experience in full stack development

PREFERRED SKILLS AND EXPERIENCE:

Hands-on experience evaluating, deploying, and integrating AI models into production systems

Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features

Proven track record of shipping real-world AI products from prototype through production deployment and iteration

Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs

Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)

Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment

Previous experience in AI product design, development, integration, testing, and productionization

Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code

Programming experience in Python, C#.NET, Go, Scala, Java, or similar

Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)

Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)

Demonstrated ability to stay current with rapidly evolving AI technologies and best practices

Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment

ADDITIONAL REQUIREMENTS:

You may be asked to work extended hours/weekends dependent on launch cadence

This role requires you to be onsite. Remote and/or hybrid work will not be considered

Ability to pass Air Force background check for Cape Canaveral

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. 

Source: SpaceX careers (Greenhouse)

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