Senior Software Engineer I​/II - AI Engineering

SENIOR SOFTWARE ENGINEER I/II – AI ENGINEERING

Are you passionate about advancing aerospace technology through cutting‑edge software solutions? We’re looking for a driven Senior Software Engineer I/II to join our AI Engineering team based in Littleton, CO. You will play a pivotal role in developing AI‑driven tools and applications, including those leveraging Large Language Models (LLMs) and advanced machine learning techniques to enhance simulation accuracy, decision‑making, and automation in aerospace systems.

• Build AI‑driven applications and integrate LLMs to enhance simulation accuracy, decision‑making, and automation.
• Develop and deploy machine learning models using Tensor Flow or PyTorch.
• Collaborate with cross‑functional teams to identify opportunities for AI integration into aerospace systems.
• Optimize AI applications for performance, scalability, and reliability in large‑scale simulations and data processing.
• Conduct research and development to apply LLMs to aerospace‑specific use cases, such as simulation, predictive modeling, or automated system configuration.
• Participate in design reviews (e.g., PDR, CDR) and contribute to the refinement of system requirements and technical specifications.
• Conduct code reviews to ensure adherence to company coding standards and best practices.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
• 5+ years of professional experience in software development for Senior Software Engineer I; 8+ years for Senior Software Engineer II, focusing on AI applications or machine learning.
• Familiarity with machine learning frameworks such as Tensor Flow or PyTorch and integrating ML models into software systems.
• Experience working with LLMs and AI applications for natural language processing, automation, or decision support.
• Proficiency in C#/.NET and Angular (or similar front‑end frameworks such as React or Vue).
• Strong understanding of relational databases (MySQL, SQL Server, SQLite).
• Solid grasp of object‑oriented programming principles and design patterns.
• U.S. citizenship is required due to program requirements.

• Master’s or Ph.D. in Computer Science, Computer Engineering, or a related technical field.
• Experience with Docker/Kubernetes for containerization and orchestration.
• Knowledge of network programming (e.g., sockets, Web Sockets) for real‑time data exchange.
• Familiarity with Git and modern version control workflows.
• Experience working in Agile/Scrum environments and contributing to iterative development cycles.
• Advanced knowledge of Angular NgRx or other state management libraries.
• Experience applying LLMs for aerospace‑specific use cases, such as simulation, predictive modeling, or automated system configuration.
• Strong problem‑solving skills and the ability to debug complex systems.
• A team‑oriented mindset with excellent communication skills and a positive attitude.

• Specific vision abilities required: close vision, distance vision, peripheral vision, depth perception, and ability to focus.
• Regularly required to sit, use hands and fingers, operate a computer keyboard and controls, and communicate verbally and in writing.
• Must be physically able to commute to buildings.
• Occasional exposure to dust, fumes, and moderate levels of noise.

Base salary range (CO Only): $120,000 – $165,000 USD.

Base salary is only one part of Rocket Lab’s compensation package. You may be eligible for company stock, cash incentives, and a discounted employee stock purchase program. Benefits include medical, dental, and vision insurance; 401(k) retirement plans; paid vacation, holidays, and sick leave; paid parental leave; and other discounts and perks.

We’re on a mission to unlock the potential of space to improve life on Earth. This role demands hard work, determination, relentless innovation, teamwork, and an unwavering commitment to achieving what others deem impossible. Our culture thrives under pressure, values tight deadlines, and emphasizes delivering outcomes rather than dwelling on challenges.