Senior Applied Engineer
Core
Building physical foundation models and AI-driven simulation software for engineering and manufacturing across advanced industries like Aerospace, Energy, and Semiconductors.
Role type
Senior Applied Engineer (Research & Implementation)
Builds
AI models, physical foundation models, and simulation software stacks for engineering lifecycle optimization.
Domain
Deep-tech, AI, Numerical Physics, High-Performance Computing
Deliverable
production ML models
Required skills
Deep learning, probabilistic methods, scientific computing, high-performance computing (CPU/GPU clusters), parallelized/distributed training, distributed computing frameworks (Spark, Dask, MPI, OpenMP, CUDA, Triton), cloud computing (AWS, Azure, GCP), Python (NumPy, SciPy, Pandas, PyTorch, JAX), C/C++ for scientific computing, software engineering best practices (CI/CD, API design, MLOps), containerization and orchestration (Docker, Kubernetes, Slurm).
Preferred skills
Federated learning experience.
Technologies
PyTorch, JAX, NumPy, SciPy, Pandas, CUDA, Triton, Spark, Dask, MPI, OpenMP, AWS, Azure, GCP, Docker, Kubernetes, Slurm.
Responsibilities
Design and build physical foundation models scaling to large data on multi-GPU cloud compute; transform research prototypes into robust, optimized implementations; identify and select best libraries, frameworks, and tools; own research work-streams; discuss results and implications with colleagues and customers; translate research results into reusable libraries, tooling, and products.
Seniority
Senior, hands-on IC with mentorship responsibilities.