Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 4
Agentic Systems @ 3
CI/CD @ 7
CUDA @ 4
Data Engineering @ 7
Data Pipelines @ 4
Distributed Systems @ 7
GPU @ 4
Go @ 4
HPC
Machine Learning
Observability @ 7
Performance Optimization @ 7
Python @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms.
At NVIDIA, we want to help accelerate the entire quantum ecosystem. 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.
Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you!
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
- 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 (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms).
- Strong software engineering practices across testing, CI/CD, observability, and performance optimization.
Ways to stand out from the crowd
- 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.