
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
October 31
🦌 Connecticut – Remote
🗻 New Hampshire – Remote
+1 more states
💵 $224k - $425.5k / year
⏰ Full Time
🟠 Senior
👷🏻♀️ Engineer
🦅 H1B Visa Sponsor

Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
• Take charge of the technical integration of quantum hardware (neutral atom, trapped ion, superconducting) with HPC systems via APIs, middleware, and orchestration layers like CUDA-Q. • Formulate and refine hybrid workflows to enable seamless task distribution between GPU clusters and quantum devices. • Partner closely with quantum hardware suppliers to set up connectivity, control interfaces, and co-design specifications to improve performance, decrease latency, and enable data exchange. • Partner with internal scientists and engineers to install & optimize applications, deploy hybrid workloads, and evaluate system performance. • Work with control systems engineers to ensure environmental, timing, and data interfaces meet quantum hardware requirements. • Prototype and benchmark hybrid applications in materials science, chemistry, optimization, and machine learning to showcase platform capabilities. • Contribute to roadmap planning for adding new quantum modalities (superconducting, photonic) and integrating emerging SDKs. • Represent NVIDIA at technical conferences, workshops, and industry forums, showcasing our advancements and groundbreaking efforts. • Develop comprehensive user documentation and integration guides for internal use and cross-team collaboration. • Drive continuous improvement across software stacks, orchestration layers, and data pipelines connecting quantum and HPC domains.
• 12+ years of experience in HPC system administration, Linux, Slurm, application support, and data management. • Experience with quantum programming frameworks like CUDA-Q, Qiskit, PennyLane, Cirq, Braket, and more. • Proficiency in Python, C++, or Rust for API integration and workflow automation. • Strong understanding of HPC systems, Slurm orchestration, and GPU-accelerated computing environments. • Understanding of quantum hardware systems encompassing neutral-atom, trapped-ion, superconducting, or photonic technologies. • Bachelor’s or Master’s degree or equivalent experience in Physics, Electrical/Computer Engineering, or Computer Science (PhD preferred). • Outstanding communication and collaborator management skills, with the ability to engage both experimental scientists and systems engineers.
• equity • benefits
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