Spacex

<div>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.</div>SR. SOFTWARE ENGINEER (AI DATA ENGINEERING)
Be a member of the Artificial Intelligence Data Engineering Software team, building AI-powered tools and automation that solve real engineering problems for our launch vehicles and spacecraft.
Our team builds software that takes recurring, time-consuming work off engineers' plates so they can focus on hard engineering, from automated review of flight and test data to AI agents that help engineers prepare for missions and investigate anomalies. Your work will directly accelerate rapid reuse of the Falcon launch vehicle, support the world's largest satellite communication and AI constellations, and contribute to the development of the world's largest rocket capable of sending humans to Mars.
You will work side-by-side with engineers across avionics, propulsion, structures, and more to find where their time goes and build tools that give it back, using agentic AI systems, MCP servers, RAG-based search, data pipelines over large telemetry datasets, and traditional automation where it is the right answer. You will own problems end-to-end: scoping the solution with the engineers who have the problem, rolling it out, measuring the time it saves, and maintaining it as the vehicle and processes evolve.
Aerospace experience is not strictly required - we are looking for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission.
RESPONSIBILITIES:
<ul>
<li>Partner directly with engineering teams to identify their most time-consuming, repetitive, or error-prone work, then design and build tools that automate it</li>
<li>Build automation that processes large volumes of engineering data, including telemetry, hardware design databases, configuration files, and manufacturing and test records, to automate data review, flag anomalies, and surface insights</li>
<li>Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query, analyze, and act on data across many internal systems</li>
<li>Integrate tools into CI/CD pipelines, mission workflows, and review/sign-off processes so automation runs where engineers already work</li>
<li>Build internal web dashboards that give engineers a clear view of mission status, open work, and data review results</li>
<li>Rapidly prototype and iterate, then take tools to a production-grade, maintainable state</li>
<li>Thoroughly test and validate all tools, including evaluating AI outputs against known-good results, so engineers can trust them in a flight-critical environment</li>
<li>Prioritize work by return on investment and track the engineering hours saved</li>
</ul>
BASIC QUALIFICATIONS:
<ul>
<li>Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree</li>
<li>5+ years of experience in software engineering with a focus on automation tools and/or AI integrations (professional and personal projects are applicable)</li>
<li>5+ years of programming experience in Python</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE:
<ul>
<li>Track record of building tools that engineers or other end users actually adopted, including gathering requirements directly from users and iterating on their feedback</li>
<li>Comfort processing and analyzing large engineering or scientific datasets (time-series telemetry, sensor data, logs, etc.) using tools such as pandas and NumPy</li>
<li>Built code or configuration generators that turn a source of truth (design databases, spreadsheets, schemas) into validated outputs</li>
<li>Hands-on work building complex agentic AI systems and multi-agent workflows, including prompt and context engineering, tool/function calling, and MCP servers or agent skills</li>
<li>Ability to design evaluations for LLM-based tools, and the judgment to know when a deterministic script is a better fit than an AI model</li>
<li>Skilled at integrating with many systems through REST APIs, and quickly learning unfamiliar internal tools and data sources</li>
<li>Working knowledge of relational (PostgreSQL), non-relational, and vector databases, with strong SQL skills</li>
<li>Full-stack experience building web applications or dashboards (e.g., React/TypeScript frontends with Python backends such as FastAPI or Flask)</li>
<li>Proficiency developing on Linux, with a solid understanding of Git, testing, CI/CD, and monitoring</li>
<li>Familiarity deploying containerized applications using Docker and Kubernetes</li>
<li>Familiarity with hardware engineering concepts (electrical schematics and wiring, sensors, propulsion, controls, or test and manufacturing processes), or a background as a hardware or test engineer who moved into software</li>
<li>Strong communication skills and ability to explain technical tradeoffs to engineers in other disciplines</li>
<li>Self-directed and comfortable owning ambiguous problems from initial idea through long-term maintenance</li>
</ul>
ADDITIONAL REQUIREMENTS:
<ul>
<li>Willing to work extended hours and weekends as needed</li>
</ul>
COMPENSATION AND BENEFITS: Pay Range: Level 3: $165,000.00 - $265,000.00 
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 SpaceX. 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.<div>ITAR REQUIREMENTS:
<ul>
<li>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 <a href="https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&amp;sys_id=24d528fddbfc930044f9ff621f961987" rel="noopener noreferrer ugc" target="_blank">here</a>.  </li>
</ul>
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 <a href="mailto:EEOCompliance@spacex.com">EEOCompliance@spacex.com</a>. </div>

Senior Software Engineer (AI Data Engineering)

<div>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.</div>SOFTWARE ENGINEER (AI DATA ENGINEERING)
Be a member of the Artificial Intelligence Data Engineering Software team, building AI-powered tools and automation that solve real engineering problems for our launch vehicles and spacecraft.
Our team builds software that takes recurring, time-consuming work off engineers' plates so they can focus on hard engineering, from automated review of flight and test data to AI agents that help engineers prepare for missions and investigate anomalies. Your work will directly accelerate rapid reuse of the Falcon launch vehicle, support the world's largest satellite communication and AI constellations, and contribute to the development of the world's largest rocket capable of sending humans to Mars.
You will work side-by-side with engineers across avionics, propulsion, structures, and more to find where their time goes and build tools that give it back, using agentic AI systems, MCP servers, RAG-based search, data pipelines over large telemetry datasets, and traditional automation where it is the right answer. You will own problems end-to-end: scoping the solution with the engineers who have the problem, rolling it out, measuring the time it saves, and maintaining it as the vehicle and processes evolve.
Aerospace experience is not strictly required - we are looking for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission.
RESPONSIBILITIES:
<ul>
<li>Partner directly with engineering teams to identify their most time-consuming, repetitive, or error-prone work, then design and build tools that automate it</li>
<li>Build automation that processes large volumes of engineering data, including telemetry, hardware design databases, configuration files, and manufacturing and test records, to automate data review, flag anomalies, and surface insights</li>
<li>Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query, analyze, and act on data across many internal systems</li>
<li>Integrate tools into CI/CD pipelines, mission workflows, and review/sign-off processes so automation runs where engineers already work</li>
<li>Build internal web dashboards that give engineers a clear view of mission status, open work, and data review results</li>
<li>Rapidly prototype and iterate, then take tools to a production-grade, maintainable state</li>
<li>Thoroughly test and validate all tools, including evaluating AI outputs against known-good results, so engineers can trust them in a flight-critical environment</li>
<li>Prioritize work by return on investment and track the engineering hours saved</li>
</ul>
BASIC QUALIFICATIONS:
<ul>
<li>Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree</li>
<li>1+ years of experience in software engineering with a focus on automation tools and/or AI integrations (professional and personal projects are applicable)</li>
<li>1+ years of programming experience in Python</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE:
<ul>
<li>Track record of building tools that engineers or other end users actually adopted, including gathering requirements directly from users and iterating on their feedback</li>
<li>Comfort processing and analyzing large engineering or scientific datasets (time-series telemetry, sensor data, logs, etc.) using tools such as pandas and NumPy</li>
<li>Built code or configuration generators that turn a source of truth (design databases, spreadsheets, schemas) into validated outputs</li>
<li>Hands-on work building complex agentic AI systems and multi-agent workflows, including prompt and context engineering, tool/function calling, and MCP servers or agent skills</li>
<li>Ability to design evaluations for LLM-based tools, and the judgment to know when a deterministic script is a better fit than an AI model</li>
<li>Skilled at integrating with many systems through REST APIs, and quickly learning unfamiliar internal tools and data sources</li>
<li>Working knowledge of relational (PostgreSQL), non-relational, and vector databases, with strong SQL skills</li>
<li>Full-stack experience building web applications or dashboards (e.g., React/TypeScript frontends with Python backends such as FastAPI or Flask)</li>
<li>Proficiency developing on Linux, with a solid understanding of Git, testing, CI/CD, and monitoring</li>
<li>Familiarity deploying containerized applications using Docker and Kubernetes</li>
<li>Familiarity with hardware engineering concepts (electrical schematics and wiring, sensors, propulsion, controls, or test and manufacturing processes), or a background as a hardware or test engineer who moved into software</li>
<li>Strong communication skills and ability to explain technical tradeoffs to engineers in other disciplines</li>
<li>Self-directed and comfortable owning ambiguous problems from initial idea through long-term maintenance</li>
</ul>
ADDITIONAL REQUIREMENTS:
<ul>
<li>Willing to work extended hours and weekends as needed</li>
</ul>

COMPENSATION AND BENEFITS: 
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 SpaceX. 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.<div>ITAR REQUIREMENTS:
<ul>
<li>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 <a href="https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&amp;sys_id=24d528fddbfc930044f9ff621f961987" rel="noopener noreferrer ugc" target="_blank">here</a>.  </li>
</ul>
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 <a href="mailto:EEOCompliance@spacex.com">EEOCompliance@spacex.com</a>. </div>

Software Engineer (AI Data Engineering)

<div>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.</div>EMBEDDED SOFTWARE ENGINEER, DATA CENTER ENGINEERING (STARMIND)
The Data Center Engineering team designs training and inference compute clusters from first principles, pushing thermal, electrical, and optical systems to the limit of physics. We operate as a highly cross disciplinary team comprised of mechanical, electrical, optical, and software engineers, all working to maximize the efficiency, reliability, and deployment speed of terrestrial computing to serve rapidly scaling demand.
As an Embedded Software Engineer on our team, you will design, validate, and ship code that reliably and autonomously manages hundreds of thousands of coherently connected GPUs. Your software will span the entire hardware stack from individual firmware ICs up through cluster aggregation networking, ensuring our compute fabric operates at peak efficiency and gracefully handles various fault conditions. To empirically define the limit of physics in our computing hardware, you will also work closely with mechanical, electrical, and optical engineers to develop automated hardware test environments for thermal, radiation, and power testing.
RESPONSIBILITIES:
<ul>
<li>Develop highly reliable, real-time software designed to run on compute tray host systems, baseboard management controllers, network switches, and peripheral rack hardware.</li>
<li>Participate in and lead architecture, design, and code reviews.</li>
<li>Develop prototypes and manage experiments to prove out key design concepts.</li>
<li>Develop tools for software development and deployment, data analysis and visualization, and test execution across multiple environments, including hardware-in-the-loop regression testbeds and in-field testing.</li>
<li>Deploy reliable software, test execution, and data analysis as part of a continuous integration and release system.</li>
</ul>
BASIC QUALIFICATIONS: 
<ul>
<li>Bachelor’s degree in computer science, engineering, math, or science discipline; OR 2+ years of professional experience in software development in lieu of a degree (internship experience is applicable).</li>
<li>Development experience in C, C++, or assembly.</li>
<li>Experience with application development and distributed systems architecture in a Linux environment.</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE: 
<ul>
<li>Strong first-principles problem-solving skills and a focus on designing bug-free, maintainable software;</li>
<li>Strong professional experience writing C, C++ or assembly in a production environment.</li>
<li>Developed, debugged and deployed software that has been used in real world hardware applications/projects, especially those for high performance computing infrastructure.</li>
<li>Creative approach to problem solving, exceptional analytical skills and engineering fundamentals.</li>
<li>Excellent communication skills both written and verbal.</li>
<li>Ability to work effectively in a dynamic environment with changing needs and requirements.</li>
<li>Experience with networking protocols (UDP, TCP/IP, etc.) and distributed systems.</li>
<li>Experience in security issues associated with distributed systems and internet services.</li>
</ul>
ADDITIONAL REQUIREMENTS:
<ul>
<li>Ability to work extended hours or weekends as needed for mission critical deadlines</li>
<li>Ability to travel to up to 30% to support on-site testing at data center facilities</li>
</ul><div>ITAR REQUIREMENTS:
<ul>
<li>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 <a href="https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&amp;sys_id=24d528fddbfc930044f9ff621f961987" rel="noopener noreferrer ugc" target="_blank">here</a>.  </li>
</ul>
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 <a href="mailto:EEOCompliance@spacex.com">EEOCompliance@spacex.com</a>. </div>

Embedded Software Engineer, Data Center Engineering (Starmind)

<div>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.</div>AI ENGINEER, SUPERCOMPUTING, SPECIAL PROGRAMS - TOP SECRET CLEARANCE
As an AI Engineer on Special Programs Supercomputing you will build the tooling, and work with our cleared engineers at classified sites execute it. The quality of what you build directly determines how effectively those engineers can operate in environments where they cannot call you for help. Your tooling must be deterministic, complete, well-tested, and foolproof.
<div>RESPONSIBILITIES:</div>
<div>
<ul>
<li>Design and build the deployment generator.</li>
<li>Create and maintain platform documentation.</li>
<li>Build the bundle pipeline.</li>
<li>Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection.</li>
<li>Build and maintain the cross-profile CI matrix.</li>
<li>Build the testing and validation framework.</li>
<li>Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure.</li>
<li>Own the monitoring stack migration.</li>
</ul>
</div>
<div>BASIC QUALIFICATIONS:</div>
<div>
<ul>
<li>Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline. </li>
<li>1+ years of experience in Go Lang and/or Python.</li>
<li>1+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications. </li>
</ul>
</div>
<div>PREFERRED SKILLS AND EXPERIENCE:</div>
<div>
<ul>
<li>Ability to obtain and maintain a Top Secret or Top Secret SCI clearance.</li>
<li>Experience building CI/CD pipelines and deployment automation (Buildkite, GitHub Actions, or equivalent).</li>
<li>Familiarity with container image management.</li>
<li>Experience with Infrastructure-as-Code (Pulumi or Terraform) and understanding of state management tradeoffs.</li>
<li>Understanding of Linux systems.</li>
<li>Experience building air-gapped or disconnected deployment tooling where all dependencies must be pre-staged.</li>
<li>Familiarity with GPU infrastructure, including NVIDIA drivers, CUDA, NCCL, InfiniBand/RoCE networking.</li>
<li>Experience with PXE boot, cloud-init, squashfs, or other bare metal provisioning technologies.</li>
<li>Own the bare metal provisioning pipeline.</li>
</ul>
</div>
<div>ADDITIONAL REQUIREMENTS:</div>
<div>
<ul>
<li>Must be willing to work extended hours and weekends as needed.</li>
<li>20% travel may be required to government sites.</li>
<li>This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.</li>
</ul>
</div>
<div>COMPENSATION AND BENEFITS:</div>
<div>
Pay range:     AI Engineer: $135,000 - $230,000/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.
</div><div>ITAR REQUIREMENTS:
<ul>
<li>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 <a href="https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&amp;sys_id=24d528fddbfc930044f9ff621f961987" rel="noopener noreferrer ugc" target="_blank">here</a>.  </li>
</ul>
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 <a href="mailto:EEOCompliance@spacex.com">EEOCompliance@spacex.com</a>. </div>

AI Engineer, Supercomputing, Special Programs - Top Secret Clearance

<div>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.</div>AI ENGINEER, SPECIAL PROGRAMS
This team focuses on engineering and deploying AI capabilities (models, APIs, tools, and integrations) for U.S. federal agencies. You'll work closely with product, research, infrastructure, and legal/governance teams to make  AI and future models maximally useful for missions while upholding safety, transparency, and ethical standards.
RESPONSIBILITIES:
<ul>
<li>Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments</li>
<li>Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for government and enterprise developers</li>
<li>Partner with agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback</li>
<li>Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact</li>
</ul>
BASIC QUALIFICATIONS:
<ul>
<li>Bachelor's degree in computer science or another STEM discipline; OR 2+ years of professional experience in software development in lieu of a degree</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE:
<ul>
<li>1+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency, other languages a plus)</li>
<li>Experience working with large language models, generative AI, or agentic systems—either in research, production, or applied engineering</li>
<li>Familiarity with government or public sector technology environments (federal civilian agencies, state/local gov, or regulated industries like healthcare, finance, or infrastructure)</li>
<li>Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions</li>
<li>Demonstrated ability to write clean, maintainable, high-performance code under tight timelines</li>
<li>Exceptional problem-solving skills and intellectual curiosity—you thrive on hard, ambiguous challenges</li>
<li>Excellent communication skills; you can explain complex technical concepts to non-technical partners clearly and concisely</li>
<li>Prior work on AI safety, governance, red-teaming, or responsible AI deployment</li>
<li>Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration</li>
<li>Background in policy-adjacent technical roles, civic tech, or public-interest technology</li>
<li>Contributions to open-source AI projects or developer tools</li>
</ul>
ADDITIONAL REQUIREMENTS:
<ul>
<li>Must be willing to work extended hours and weekends as needed</li>
<li>20% travel may be required to government sites</li>
<li>This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.</li>
</ul>
COMPENSATION AND BENEFITS:
Pay range:     AI Engineer: $125,000.00 - $220,000.00/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.<div>ITAR REQUIREMENTS:
<ul>
<li>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 <a href="https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&amp;sys_id=24d528fddbfc930044f9ff621f961987" rel="noopener noreferrer ugc" target="_blank">here</a>.  </li>
</ul>
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 <a href="mailto:EEOCompliance@spacex.com">EEOCompliance@spacex.com</a>. </div>

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