Senior Software Engineer, Quantum Applied Research

NVIDIA AI

Redmond (WA)

On-site

USD 170,000 - 260,000

Full time

14 days+
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Job summary

NVIDIA AI in Redmond seeks a senior software engineer to design and build scalable data platforms, orchestration layers, and synthetic data pipelines for quantum computing system modeling, enabling robust, production-grade workflows.

You will collaborate across research and engineering teams to integrate AI models and simulation environments for accelerated computing, optimize performance, and contribute to GPU-accelerated pipelines that power next-generation workloads.

Qualifications

  • Requires degree in Computer Science, Engineering, or Physics with 10+ years in production-grade software and distributed systems.
  • Proficiency in Python, C++, or Go and knowledge of quantum computing concepts.

Responsibilities

  • Design and build scalable data platforms and orchestration layers.
  • Collaborate across research and engineering to integrate AI models and simulation environments.

Skills

Quantum Computing
Distributed Systems
Data Engineering
Python
C++
Go
API Design
CI/CD
GPU Acceleration
CUDA
High Performance Computing
Synthetic Data Generation
Agentic Systems
System Modeling
Observability
Performance Optimization

Education

Degree in Computer Science, Engineering, or Physics

Job description

Design and build scalable data platforms, orchestration layers, and synthetic data pipelines to support quantum computing system modeling. Collaborate across research and engineering teams to integrate AI models and simulation environments for accelerated computing.

Requirements

Requires a degree in Computer Science, Engineering, or Physics with over 10 years of experience in production-grade software and distributed systems. Proficiency in Python, C++, or Go and a working knowledge of quantum computing concepts are essential.

Key Skills
  • Quantum Computing
  • Distributed Systems
  • Data Engineering
  • Python
  • C++
  • Go
  • API Design
  • CI/CD
  • GPU Acceleration
  • CUDA
  • High Performance Computing
  • Synthetic Data Generation
  • Agentic Systems
  • System Modeling
  • Observability
  • Performance Optimization
Benefits
  • Equity
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