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AI Technologist – Mechanical Design, Energy & Aviation

Location: Remote

Employment Type: Full-Time 

About the Role 

We’re looking for an innovative AI Technologist to support mechanical engineering, energy, and aviation teams by building AI-driven solutions for design optimization, predictive modeling, and digital twins. This role is designed for AI/ML professionals who are eager to expand into new application domains and are excited to learn NVIDIA tools (training and certifications provided). 

What You’ll Do 

• Partner with engineers to apply AI/ML to CAD automation, structural analysis, simulation, and predictive maintenance. 
• Develop AI-driven solutions for digital twins and simulation-based design in energy and aviation. 
• Integrate AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.) with engineering workflows to accelerate productivity. 
• Prototype and deploy solutions with opportunities to transition into GPU-accelerated platforms (full NVIDIA training offered). 
• Contribute to multidisciplinary projects spanning mechanical design, modeling, and real-world energy/aviation challenges. 

What We’re Looking For 

• Technical Expertise: 

• Experience applying AI/ML to engineering, simulation, or predictive analytics. 
• Strong Python and/or C++ skills; familiarity with TensorFlow, PyTorch, Keras, or scikit-learn. 
• Knowledge of CAD, simulation, or modeling tools (SolidWorks, Siemens NX, ANSYS, AutoCAD, etc.) is a big plus. 
• Curiosity and willingness to learn NVIDIA CUDA, Jetson, and Triton platforms (no prior NVIDIA experience required). 

• Qualifications: 

• Bachelor’s or Master’s in Engineering, Computer Science, Physics, Data Science, or related field. 
• 2+ years of experience applying AI/ML to engineering or technical problem-solving (energy, aviation, or mechanical domains preferred). 
• Growth mindset and motivation to pursue professional certifications in NVIDIA tools (provided and funded). 

• Soft Skills: 

• Creative and analytical thinker who thrives on solving complex engineering problems. 
• Excellent communicator and collaborator with cross-disciplinary teams. 
• Independent learner who enjoys working at the intersection of AI and real-world engineering. 

Why Join Us 

• Shape the future of AI-powered mechanical design, energy, and aviation. 
• Paid training and NVIDIA certification opportunities. 
• Competitive salary, excellent benefits, and long-term career development. 
• Work on impactful, multidisciplinary projects that advance next-generation engineering.