Bachelor's degree in aerospace engineering, electrical engineering, computer science, or related field.
5+ years of experience in AI/ML model validation and deployment.
Proficiency in algorithm development using Python or similar languages.
Strong mathematical background with knowledge of AI, ML, and deep learning.
Excellent communication skills for technical environments.
Experience interfacing with customers and stakeholders.
Proficiency with revision control systems like Git.
Responsibilities
Conduct research and develop novel AI/ML concepts for space and missile defense.
Lead design and testing of scalable AI/ML software prototypes using large datasets.
Interface with customers to gather requirements and present solutions.
Mentor junior engineers to promote technical excellence.
Track project milestones and budgets for timely outcomes.
Support proposal-writing and thought leadership activities.
Engage in continuous learning to stay updated on AI/ML and space technologies.
Benefits
Opportunity to solve complex technical challenges.
Mentorship and leadership development.
Engagement with multidisciplinary teams.
Access to cutting-edge AI/ML advancements.
Potential for travel to support customer engagements.
Full Job Description
As a Senior Artificial Intelligence Engineer for Camgian Labs, our advanced R&D and rapid prototyping team, you will lead the design and development of AI/ML-powered prototypes that push the boundaries of innovation in space and missile defense. You'll collaborate with multidisciplinary teams to pioneer novel solutions and engage directly with customers and stakeholders to translate visionary concepts to impactful technologies. This role offers the opportunity to solve complex technical challenges, mentor junior engineers, and contribute to thought leadership and proposal development activities
Qualifications
Bachelor's degree in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
5+ years of professional experience in AI/ML model validation and deployment.
Demonstrated proficiency in algorithm development and implementation using Python or similar programming languages.
Strong mathematical background and knowledge of AI, ML, and deep learning concepts.
Excellent written and verbal communication skills.
Experience interfacing with customers and stakeholders in technical environments.
Proficiency with revision control systems (such as Git), including branching, merging, and managing code repositories in a team setting.
Ability to work both independently and collaboratively in a team environment.
Experience collaborating effectively as a member of remote or hybrid project teams.
Ability to travel up to 10% of the time within the United States to support customer engagements and technical exchanges.
Eligibility to obtain or maintain a U.S. Government Security Clearance which requires U.S. citizenship.
Desired Skills
Master's or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
Experience with AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV).
Familiarity with tools such as NumPy, SciPy, Pandas, Matplotlib.
Experience deploying AI models in cloud environments (e.g., AWS, Azure).
Strong analytical skills and creative problem-solving ability.
Understanding of Agile development methodology.
Experience with space domain awareness, satellite operations, or space operations.
Key Responsibilities
Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities.
Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale datasets.
Interface with customers and stakeholders to gather mission requirements, present technical solutions, and ensure project alignment.
Mentor and guide junior engineers, fostering a culture of technical excellence and collaboration.
Track project milestones and budgets, ensuring timely and quality outcomes.
Support proposal-writing activities and thought leadership opportunities.
Engage in continuous learning and professional development to stay at the forefront of AI/ML advancements, space domain technologies, and relevant emerging R&D trends.
