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Generative AI Software Developer/Engineer - Collins Aerospace
AI Engineer
Develop and integrate generative AI models into aerospace software, leveraging Python, C++, deep‑learning frameworks, and cloud services to deliver high‑performance, production‑ready solutions.
About the role
Key Responsibilities
- Design, implement, and optimize generative AI models (e.g., diffusion, transformer‑based) for aerospace applications.
- Integrate AI components into existing C++/Python codebases, ensuring real‑time performance and reliability.
- Develop and maintain GPU‑accelerated pipelines using CUDA and deep‑learning frameworks such as PyTorch or TensorFlow.
- Deploy and scale AI services on AWS, utilizing containers (Docker) and CI/CD practices.
- Collaborate with cross‑functional teams to translate domain requirements into AI‑driven solutions and conduct thorough testing and validation.
Requirements
- Bachelor’s or higher in Computer Science, Electrical Engineering, or related field with 3+ years of software development experience.
- Proficiency in Python and C++ programming, including experience with GPU programming (CUDA).
- Hands‑on experience building, training, and fine‑tuning generative AI models using PyTorch or TensorFlow.
- Familiarity with cloud platforms, preferably AWS, and containerization technologies.
- Strong problem‑solving skills, ability to work in a hybrid environment, and eligibility to meet U.S. citizenship requirements.
Skills
pythoncpytorchtensorflowcudaaws