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Americas, United States, Califórnia

Posted 66 days ago

Principal Quantum Systems Engineer - Applied Research Quantum Computing

🏢 NVIDIA

USD 232K - 368K per year

+2 benefits
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Role Type

🛠️ Engineer / Developer

Role Focus

🏗️ Build Systems

Seniority

🌸 PhD / Postdoc
🌳 Senior / Lead

Employer Type

🏢 Industry

This role involves leading the systems engineering efforts for integrating Quantum Processing Units (QPUs) into NVIDIA's fault-tolerant Accelerated Quantum Supercomputer initiative. The Principal Quantum Systems Engineer is responsible for defining the technical requirements of complex hybrid quantum-classical systems and developing the system design, analysis, and testing protocols for these integrated subsystems. This position requires active collaboration with product, engineering, and research teams, as well as external partners, to accelerate innovation across the quantum computing ecosystem.

Key Responsibilities

Lead the systems engineering effort to design, develop, and test the integration of QPUs into a fault-tolerant Accelerated Quantum Supercomputer.

Determine the technical requirements for complex hybrid quantum-classical systems.

Path-find technical innovations in quantum-classical systems design and integration by collaborating with multi-functional teams.

Develop novel approaches to real-time calibration supported by rigorous systems analysis for a variety of qubit modalities.

Research and co-design the integration of classical control systems, QPUs, and heterogeneous GPU and CPU compute, including computation and communication requirements.

Collaborate with internal teams and external partners on developing technology requirements and system components to enable fault-tolerant quantum computing.

Required Skills

PhD Degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field (or equivalent experience).

Extensive background in Quantum Information Science and Systems Engineering.

A minimum of 12 years of experience in the Quantum Computing industry.

Demonstrated ability to deliver high-impact value in quantum computing systems design.

Hands-on experience working with several different types of qubits and controller systems.

Nice-to-have Skills

Hands-on experience with co-design of control systems with qubit architectures, including communication and networking techniques.

Working knowledge of methods for measuring and benchmarking quantum systems.

Experience with the adoption of AI and ML techniques.

Experience with CUDA and NVIDIA GPUs.

Technology Tags

Fault-tolerant

The core engineering goal is to integrate QPUs into a fault-tolerant Accelerated Quantum Supercomputer.

GPU-Quantum Interfaces

A primary responsibility is researching and co-designing the integration of QPUs with heterogeneous GPU and CPU compute.

High-Performance Computing

The system being designed is explicitly referred to as an Accelerated Quantum Supercomputer.

Error correction

Designing systems to enable fault-tolerant quantum computing strongly implies the need for error correction methods.

ML approaches

The required background includes the adoption of AI and ML techniques for system development.

Superconducting Circuits

The role requires hands-on experience working with several different types of qubits, including major modalities like superconducting circuits.

Hybrid algorithms

The job involves determining technical requirements for a complex hybrid quantum-classical system.

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