Software Engineer
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Role details
Tech stack
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Job description
We are seeking a Principal/Senior Software Engineer to lead the development of our high-performance backend systems, data pipelines, and compute orchestration layers. You will build the core platform infrastructure that connects physics-based simulation engines and AI agent workflows with global enterprise clients., System Architecture: Design, build, and maintain high-concurrency backend microservices in Python that power complex physical simulations and active learning loops. * Data Pipelines & Integration: Build scalable ingestion and processing pipelines (RAG, Delta Lake) to unify fragmented enterprise data and physical schemas into a high-performance semantic layer. * Agentic Compute Orchestration: Partner with AI/ML research teams to integrate agentic workflows, sandboxed execution systems, and model-serving infrastructure into secure, enterprise-grade cloud environments. * Operational Excellence: Harden core system capabilities around multi-tenancy, security, auditability, CI/CD automation, and low-latency API performance.
Requirements
Experience: 6+ years of production software engineering experience building scalable backend microservices, high-throughput distributed systems, and API architectures. * Core Tech Stack: Advanced proficiency in Python, alongside modern web frameworks (FastAPI, gRPC) and relational/NoSQL databases (PostgreSQL, Redis). * Infrastructure & Cloud: Strong experience with containerization, orchestration, and IaC tools including Docker, Kubernetes, and Terraform on AWS, Azure, or Google Cloud Platform. * Data & Systems: Hands-on experience with asynchronous task processing (Celery, RabbitMQ), large-scale data pipelines, and high-performance system design. * Education: B.S. or M.S. in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
Preferred / Bonus Qualifications * Experience or background in CAD engines, CAE/CFD software, computational physics, or digital twin simulation platforms. * Exposure to physics-informed machine learning models, active learning loops, or autonomous LLM multi-agent orchestration. * Knowledge of C/C++ low-level optimization, CUDA, or parallel compute systems.
Benefits & conditions
This role offers competitve pay, hybrid work options, and comprehensive health benefits.
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