AI/ML Engineer for Multidisciplinary Engineering Design-Associate Staff

Position Description

The Structural & Thermal-Fluids Engineering Group seeks engineers with expertise in artificial intelligence / machine learning (AI/ML) algorithm development and engineering modeling. Key responsibilities include supporting simulation, design, optimization, and test activities, developing innovative simulation capabilities, and enhancing existing methods with new cutting-edge AI/ML techniques.

About the Role

The Structural & Thermal-Fluids Engineering Group provides innovative multidisciplinary engineering solutions for underwater, ground, air, and space-based prototype systems for national security applications. Examples include the development of structural-material systems for space-based imaging and laser communication terminals, thermal management solutions spanning cryogenic to hypersonic applications, and aerodynamic designs and assessments to support unmanned aerial vehicles, airborne pods, and hypersonic platforms.

Responsibilities

• Support simulation, design, optimization, and test activities
• Develop and apply novel AI/ML algorithms to solve engineering or scientific applications
• Implement multidisciplinary design optimization (MDO) frameworks
• Work within an interdisciplinary team
• Communicate results in oral presentations and written reports

Requirements

• M.S. in Aerospace Engineering, Mechanical Engineering, Computer Science, or related
• Candidates with B.S. degree and three years’ experience may also be considered
• Experience developing and applying novel AI/ML algorithms
• Proficiency in C++, Python, MATLAB, or similar for algorithm development and software integration
• Experience applying engineering software to design and analysis
• Ability to work within an interdisciplinary team
• Ability to clearly communicate results in oral presentations and written reports

Preferred Qualifications

• Experience with high-performance computing (HPC) environments for large-scale simulations
• Familiarity with software development best practices, including version control (e.g., Git)

Qualifications

• M.S. in Aerospace Engineering, Mechanical Engineering, Computer Science, or related
• B.S. degree with three years’ experience may also be considered
• Experience developing and applying novel AI/ML algorithms to solve engineering or scientific applications
• Proficiency in C++, Python, MATLAB, or similar for algorithm development and software integration
• Experience applying engineering software to design and analysis
• Ability to work within an interdisciplinary team
• Ability to clearly communicate results in oral presentations and written reports
• Experience with high-performance computing (HPC) environments for large-scale simulations
• Familiarity with software development best practices, including version control (e.g., Git)

Benefits

• Comprehensive health, dental, and vision plans
• MIT-funded pension
• Matching 401K
• Paid leave (including vacation, sick, parental, military, etc.)
• Tuition reimbursement and continuing education programs
• Mentorship programs
• A range of work-life balance options

Pay

$116,400 - $182,200

Schedule

Full-time