Quantum Benchmarking Initiative Systems Engineer
Technergetics$75,000 - $15,000/year
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Quantum Computing, High Performance Computing, TechnologyIndustries
Requirements
- 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
Responsibilities
- 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 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
Skills
Quantum Computing
HPC Systems
CUDA-Q
GPU Clusters
Hybrid Workflows
APIs
Middleware
Orchestration
Neutral Atom
Trapped Ion
Superconducting
Photonic
Benchmarking
Materials Science
Chemistry
Optimization
Machine Learning
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees