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# Software Engineer

- **Company:** Oscar Technology
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Performance Management, Audit Trail, Microsoft Azure, C++ (Programming Language), Computational Fluid Dynamics, Cloud Computing, Nvidia CUDA, Continuous Integration, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, NoSQL, RabbitMQ, Redis, Software Engineering, Systems Architecture, Web Application Frameworks, Digital Twin, Google Cloud, Cloud Platform System, Large Language Models, Multi-Agent Systems, Backend, Fastapi, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Low Latency, Celery, Virtual Agents, Terraform, Grpc, Data Pipelines, Docker, Microservices
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/1584f8da-bfbf-42ad-8ac4-57a75bdf578f

## About the Role

Experience: 6+ years of production software engineering experience building scalable backend microservices, high-throughput distributed systems, and API architectures.
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Core Tech Stack: Advanced proficiency in Python, alongside modern web frameworks (FastAPI, gRPC) and relational/NoSQL databases (PostgreSQL, Redis).
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Infrastructure & Cloud: Strong experience with containerization, orchestration, and IaC tools including Docker, Kubernetes, and Terraform on AWS, Azure, or Google Cloud Platform.
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Data & Systems: Hands-on experience with asynchronous task processing (Celery, RabbitMQ), large-scale data pipelines, and high-performance system design.
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Education: B.S. or M.S. in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.

Preferred / Bonus Qualifications
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Experience or background in CAD engines, CAE/CFD software, computational physics, or digital twin simulation platforms.
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Exposure to physics-informed machine learning models, active learning loops, or autonomous LLM multi-agent orchestration.
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Knowledge of C/C++ low-level optimization, CUDA, or parallel compute systems.

## 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.
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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.
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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.
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Operational Excellence: Harden core system capabilities around multi-tenancy, security, auditability, CI/CD automation, and low-latency API performance.


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