Senior Software Engineer, Quantum Applied Research

Details

At NVIDIA, we are solving the world's most exciting problems with a unique approach to accelerated computing. This role is at the intersection of quantum computing, distributed systems, and advanced data platforms, helping define the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms.

As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing.

Responsibilities

• Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs and 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

• BS, MS, 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, including Python, C++, Go, APIs, distributed services, and modern data platforms.
• Strong software engineering practices across testing, CI/CD, observability, and performance optimization.

Preferred 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.

Compensation and Benefits

• Base salary range for Level 4: $184,000–$287,500 USD.
• Base salary range for Level 5: $224,000–$356,500 USD.
• Eligibility for equity and benefits.
• Applications will be accepted at least until July 4, 2026.
• 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 is an equal opportunity employer.