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PhysicsX Tech Stack
Physics-based AI software for engineering and manufacturing simulation
PhysicsX builds AI software for engineering simulation across aerospace, automotive, semiconductors, and energy. The stack reveals a mature MLOps operation—TensorFlow, PyTorch, MLflow, Spark, Dask—paired with heavy infrastructure investment (Kubernetes, Crossplane, Istio, vCluster) and a security-first posture (Vanta, Drata, Secureframe, Backstage adoption). The hiring mix is heavily skewed toward senior and principal engineers relative to product/marketing, suggesting a deep technical product with complex customer environments and a multi-year deployment cycle.
Tech Stack 102 technologies
Core StackPython AWS Kubernetes Crossplane Terraform Helm Figma Adobe Creative Cloud NumPy Pandas TensorFlow PyTorch MLflow Apache Spark Docker JavaScript React TypeScript Azure GCP LinkedIn Instagram SciPy Dask Vanta Drata Secureframe Microsoft Entra HTML CSS+65 more
What PhysicsX Is Building
◆Challenges
- Handling massive volumes of complex simulation data
- Protecting corporate infrastructure
- Maintaining compliance without slowing business
- Complex deployment environments
- Embedding cutting edge ai models into tools
- Scaling governance processes
- Reliable deployment of ml models
- Remediating internal security events
- Ensuring compliance with security policies
- Scaling hiring plans
▲Active Projects
- Deep physics models platform
- Deployment of ml models to customer production environments
- Automate compliance roadmap
- Ai-driven simulation software stack
- Designing grc tools
- Manage vendor risk processes
- Supporting customer security assessments
- Enterprise security tooling deployment
- Distributed systems for high-dimensional simulation data
- Automated data pipelines for ai training loops
Hiring Activity
Steady60 roles · 25 in 30d
Department
Seniority
Company intelligence
