Base Salary
$125k - $220k/yr
Responsibilities
- Design, build, and optimize integrations between frontier AI models and government systems, platforms, and data environments.
- Scope product specifications and develop AI-powered software for government and enterprise use cases.
- Benchmark models and create evaluation frameworks to measure performance and address weaknesses.
- Improve model performance through system prompt tuning and fine-tuning.
- Analyze request logs, prompt data, and system outputs for reliability and auditability.
- Build internal tooling to streamline workflows and automate repetitive tasks in secure environments.
- Partner with agency stakeholders to understand requirements, prototype solutions, and iterate based on feedback.
- Ship production-grade code and features.
- Collaborate with product, research, infrastructure, and legal/governance teams.
Requirements
- Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or a related field.
- At least 1 year of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications.
- Active Top Secret or Top Secret SCI clearance.
- Preferred experience includes 6 or more years of software engineering experience.
- Experience working with government agencies, the Department of War, or federal contractors on AI, software, or data projects is preferred.
- Experience designing and deploying robust, scalable, secure AI-driven solutions that meet compliance and operational standards is preferred.
- Experience implementing AI or machine learning products with APIs, backend systems, and frontend interfaces is preferred.
- Proficiency in Python and/or TypeScript is preferred.
- Understanding of HTTP and secure API design is preferred.
- Experience building AI evaluation frameworks and assessing models in regulated or high-stakes contexts is preferred.
- Understanding of machine learning fundamentals, including model evaluation, training, and fine-tuning, is preferred.
- Experience deploying machine learning models to production is preferred.
- Experience writing developer documentation or maintaining SDKs for technical audiences is preferred.
- Ability to work with massive datasets, optimize performance, and scale high-throughput systems is preferred.
- Familiarity with Pulumi or Terraform is preferred.
- Strong English verbal and written communication skills are preferred.
- Active Top Secret or Top Secret SCI clearance with a full-scope polygraph.
- Must satisfy applicable ITAR eligibility or authorization requirements.
Benefits
- Comprehensive medical, vision, and dental coverage
- 401(k) retirement plan
- Short- and long-term disability insurance
- Life insurance
- Paid parental leave
- Three weeks of paid vacation
- 10 or more paid holidays per year
- Paid sick leave
- Potential stock, stock options, long-term cash awards, discretionary bonuses, and Employee Stock Purchase Plan
- May require 20% travel to government sites
- Must be willing to work extended hours and weekends as needed
Tech Stack
Categories
About SpaceX
SpaceX designs, manufactures and launches the world’s most advanced rockets and spacecraft. The company was founded in 2002 by Elon Musk to revolutionize space transportation, with the ultimate goal of making life multiplanetary. SpaceX has gained worldwide attention for a series of historic milestones. It is the only private company ever to return a spacecraft from low-Earth orbit, which it first accomplished in December 2010. The company made history again in May 2012 when its Dragon spacecraft attached to the International Space Station, exchanged cargo payloads, and returned safely to Earth — a technically challenging feat previously accomplished only by governments. Since then Dragon has delivered cargo to and from the space station multiple times, providing regular cargo resupply missions for NASA. For more information, visit www.spacex.com.