About the Role
Are you passionate about advancing aerospace technology through cutting-edge software solutions? Rocket Lab is looking for a driven Senior Software Engineer I/II to join its AI Engineering team, based out of the Littleton, CO site. 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. This role offers the opportunity to work on innovative projects that integrate AI applications to enhance aerospace systems, including simulation accuracy, decision-making, and automation.
You’ll be part of a collaborative team, contributing to all phases of AI-driven software development—from requirements definition and design to coding, testing, and deployment. Our projects focus on applying AI and machine learning to solve complex aerospace challenges.
What You’ll Get To Do
- Build AI-driven applications and integrate Large Language Models (LLMs) to enhance simulation accuracy, decision-making, and automation.
- Develop and deploy machine learning models using frameworks like TensorFlow 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 for 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.
Qualifications You’ll Bring as Senior Software Engineer I
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
- 5+ years of professional experience in software development, with a focus on AI applications or machine learning.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and integrating ML models into software systems.
- Experience working with Large Language Models (LLMs) and AI applications for natural language processing, automation, or decision support.
- Proficiency in C#/.NET and Angular (or similar frontend frameworks like React or Vue).
- Strong understanding of relational databases (e.g., MySQL, SQL Server, SQLite).
- Solid grasp of object-oriented programming principles and design patterns.
- U.S citizenship is required, due to program requirements.
Qualifications You’ll Bring as Senior Software Engineer II
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
- 8+ years of professional experience in software development, with a focus on AI applications or machine learning.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and integrating ML models into software systems.
- Experience working with Large Language Models (LLMs) and AI applications for natural language processing, automation, or decision support.
- Proficiency in C#/.NET and Angular (or similar frontend frameworks like React or Vue).
- Strong understanding of relational databases (e.g., MySQL, SQL Server, SQLite).
- Solid grasp of object-oriented programming principles and design patterns.
- U.S citizenship is required, due to program requirements.
These Qualifications Would Be Nice To Have
- Master's or PhD 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, WebSockets) 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.