🛠 Tech Stack

💼 About This Role

You'll shape Research group strategy and build AI-driven simulation software for engineering problems at PhysicsX, a deep-tech company. You'll design scalable ML models and mentor junior colleagues to drive real-world impact in advanced industries like Aerospace and Energy.

🎯 What You'll Do

• Set technical direction for research work-streams and deliver outcomes.
• Design, build, and optimize deep learning models for physics simulations.
• Implement distributed training architectures on cloud and on-premise GPU clusters.
• Translate research prototypes into robust, optimised production code.

📋 Requirements

• MSc or PhD in computer science, ML, physics, or related field.
• 4+ years in a data-driven role with experience scaling ML models.
• Proficiency in Python with PyTorch, JAX, NumPy, SciPy, Pandas.
• Experience with distributed computing frameworks (Spark, Dask, MPI, CUDA).

✨ Nice to Have

• Experience with federated learning and foundation model serving.
• Familiarity with C/C++ for scientific computing or geometry processing.
• Background in high-performance computing and container orchestration (Docker, Kubernetes, Slurm).

🎁 Benefits & Perks

• 🚀 Solve real-world problems in engineering and manufacturing.
• 👥 Work with exceptional engineers, scientists, and operators.
• 🏗️ Flat structure where good ideas win regardless of hierarchy.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min