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About The Role
Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer — designing, training, and deploying models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve.
You'll collaborate closely with experts in applied AI and mechanical engineering, integrating machine learning directly into high-fidelity simulation pipelines to help customers iterate faster, diagnose failures earlier, and bring better products to market. This is a rare opportunity to join early and make a foundational impact.
What You'll Do
Required:
On-site in San Francisco, CA, United States. Candidates must be available to work from the San Francisco office.
Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer — designing, training, and deploying models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve.
You'll collaborate closely with experts in applied AI and mechanical engineering, integrating machine learning directly into high-fidelity simulation pipelines to help customers iterate faster, diagnose failures earlier, and bring better products to market. This is a rare opportunity to join early and make a foundational impact.
What You'll Do
- Research, design, and develop AI/ML algorithms to tackle complex challenges in simulation, design automation, and computer-aided engineering.
- Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure.
- Lead performance improvements — from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks.
- Guide AI/ML projects from research through to production deployment.
- Contribute to MLOps practices and help build robust, end-to-end AI/ML systems.
Required:
- 4+ years of experience developing and deploying AI/ML models with a proven track record of delivering impact in applied engineering or scientific domains.
- 2+ years of technical leadership guiding AI/ML projects from research to production.
- Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow).
- Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh data, or simulation outputs).
- Familiarity with MLOps practices and building AI/ML systems end-to-end, from prototyping to scalable deployment.
- Strong understanding of engineering principles in simulation, modeling, and optimization.
- Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
- Experience with CAE, CAD, and/or PLM tools (e.g., Ansys, Abaqus, COMSOL, SolidWorks, NX).
- Experience in a fast-paced startup environment.
- Salary: $150,000 – $250,000 USD annually
- Visa sponsorship available
On-site in San Francisco, CA, United States. Candidates must be available to work from the San Francisco office.
Key Skills
Ranked by relevance
simulation
ai
mlops
machine learning
prototyping
tensorflow
pytorch
python
san
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- Posted
- Jul 01, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- San Francisco
- Company
- Clera
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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