Senior Software Engineer, Quantum Applied Research
About the role
NVIDIA is seeking a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help pioneer the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms.
Responsibilities
- Design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems.
- Develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems.
- Collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing.
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 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.
- 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.
Benefits
- Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.
- Eligibility for equity and benefits.
Pay
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
Schedule
Applications for this job will be accepted at least until July 4, 2026.
Contact
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.