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 position 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 entire quantum ecosystem.

Responsibilities

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

• Quantum computing concepts and collaboration skills.
• Data engineering and distributed systems expertise.
• Backend and data technologies proficiency (Python, C++, Go, APIs, distributed services, modern data platforms).
• Software engineering practices (testing, CI/CD, observability, performance optimization).
• Simulation or modeling platforms experience.
• Synthetic data pipelines or AI/ML workflows experience.
• Agentic systems, orchestration frameworks, or AI-driven automation familiarity.
• Quantum computing hardware, control systems, or performance modeling expertise.
• GPU acceleration, CUDA, or high-performance computing experience.

Benefits

The company offers competitive compensation, including a base salary range of $184,000 - $287,500 for Level 4 and $224,000 - $356,500 for Level 5, along with equity and benefits.

Pay

Base salary will be determined based on location, experience, and the pay of employees in similar positions.

Schedule

Details on the schedule are not specified in the job posting.

Benefits

Details on benefits are not specified in the job posting.

Cookie/Navigation/Equal Opportunity Boilerplate

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.