PhysicsX is building an AI-driven simulation software stack that enables high-fidelity, multi-physics simulation across advanced industries like Aerospace and Automotive
Job Summary
PhysicsX is building an AI-driven simulation software stack that enables high-fidelity, multi-physics simulation across advanced industries like Aerospace and Automotive.
The role involves designing and implementing secure, fine-grained permission systems and observability infrastructure to support both human users and AI agents in a multi-tenant environment.
Candidates will work with a high-caliber team of engineers and scientists to foster engineering excellence while tackling complex challenges in hardware innovation.
Matching Summary
PhysicsX is building an AI-driven simulation software stack that enables high-fidelity, multi-physics simulation across advanced industries like Aerospace and Automotive.
Skills & Requirements
Must-have
Golang and Python programming expertise
Authentication and identity management systems
RBAC/ABAC access control implementation
Distributed tracing and telemetry infrastructure
Kubernetes and ArgoCD deployment experience
Nice-to-have
Polyglot programming with Rust or C++
Advanced Kubernetes CRDs and Operators
AI-native mindset with agentic system awareness
Fuzzing and fault injection testing experience
Air-gapped environment deployment knowledge
Key Requirements
Strong command of Golang and Python
Hands-on experience with OAuth 2.0, OIDC, SAML
Proven track record in multi-tenant system design
Experience with OpenTelemetry, Prometheus, Grafana