AI Tech Mechanical Design Energy Aviation
Job Description
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).
- 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- engineering.
#J-18808-Ljbffr Salary: USD 72000 - 108000 per year Experience: 3 years required Apply tot his job Apply To this Job