Senior Software Engineer, Quantum Applied Research

About the role

NVIDIA is seeking a senior engineer who can bridge the gap between quantum computing, distributed systems, and advanced data platforms. This role aims to pioneer the development of high-fidelity, real-time system modeling and co-design for quantum computing platforms. The ideal candidate will contribute to accelerating the quantum ecosystem by designing and building data interfaces, orchestration layers, and foundational systems that connect various components.

Responsibilities

• Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows.
• Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems.
• Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models.
• Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments.
• Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems.

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience).
• 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems.
• Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts.
• Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms).
• Strong software engineering practices across testing, CI/CD, observability, and performance optimization.

Qualifications

• Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments.
• Experience developing synthetic data pipelines or supporting AI/ML workflows at scale.
• Familiarity with agentic systems, orchestration frameworks, or AI-driven automation.
• Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling.
• Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads.

Skills

• Experience with quantum computing concepts and collaboration with domain experts.
• Hands-on experience with backend and data technologies.
• Strong software engineering practices.
• Experience with GPU acceleration and high-performance computing.

Benefits

• Competitive base salary ranging from $184,000 to $287,500 for Level 4, and $224,000 to $356,500 for Level 5.
• Eligibility for equity and benefits.

Pay

• Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

• Full-time position.