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!
What you'll be doing:
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.
What we need to see:
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.
You will also be eligible for equity and benefits.
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.Skills Required
- BS, MS, or PhD in Computer Science, Engineering, Physics, or related field (or equivalent experience).
- 10+ years building and operating production-grade software systems with strong data engineering and distributed systems fundamentals.
- Working knowledge of quantum computing concepts and ability to collaborate with domain experts.
- Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, 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 hardware, control systems, or performance modeling.
- Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
