ZipRecruiter

Log In

1

Machine Learning Quantum Computing Jobs in California

PsiQuantum

Intern, Quantum Architecture

Palo Alto, CA · On-site

$27.50/hr

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a ...

PsiQuantum

Intern, Quantum Architecture

Brisbane, CA

$27.50/hr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

PsiQuantum

Quantum Architect (Design)

Palo Alto, CA

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a ...

PsiQuantum

Quantum Architect, Fault-Tolerance

Palo Alto, CA · On-site

$76 - $100/hr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

PsiQuantum

Quantum Architect, Fault-Tolerance

Palo Alto, CA

$76 - $100/hr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

Visa

Staff Research Scientist

Foster City, CA · On-site

$169.10K/yr

... machine learning, distributed quantum computing and/or quantum security and privacy with the aim of applying their research outcomes to financial services and payments. Their work may include ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in California

Machine Learning Quantum Computing information

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are popular job titles related to Machine Learning Quantum Computing jobs in California? For Machine Learning Quantum Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in California look for? The top searched job categories for Machine Learning Quantum Computing jobs in California are:
What cities in California are hiring for Machine Learning Quantum Computing jobs? Cities in California with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Senior Quantum AI Research Scientist, Applied Research

Senior Quantum AI Research Scientist, Applied Research

NVIDIA

Santa Clara, CA • On-site

$115.60K - $147.30K/yr

Full-time

Posted 8 days ago

Job description

Job Summary:
NVIDIA is a leader in accelerated computing, seeking a passionate AI research scientist with expertise in quantum computing. The role focuses on developing AI solutions for fault-tolerant quantum systems and advancing the state of the art in quantum error correction and calibration.
Responsibilities:
• Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.
• Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem.
• Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale.
• Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures.
• Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops.
• Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving.
Qualifications:
Required:
• Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered.
• 8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains.
• Deep expertise in machine learning and deep learning—including model architecture design, training at scale, and evaluation—applied to scientific or engineering problems.
• Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models.
• Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product.
Preferred:
• Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms).
• Experience with large-scale model training and fine-tuning—including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models.
• Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads.
• Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads.
• Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply