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Master's degree or quantum/AI focus preferred. * 5-8+ years in customerfacing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering ...

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How much do quantum ai jobs pay per year?

As of Jun 10, 2026, the average yearly pay for quantum ai in the United States is $135,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $142,500.00 per year, depending on experience, location, and employer.

What types of projects might I work on as part of a Quantum AI team?

As a Quantum AI professional, you'll often work on projects that merge quantum algorithms with machine learning methods to solve complex problems in fields such as optimization, data analysis, encryption, or material discovery. Collaboration is frequently required with quantum physicists, AI researchers, and software engineers to prototype models, test quantum circuits, and analyze computational results. Your daily tasks might include coding, running quantum experiments, reviewing scientific literature, and presenting findings to both technical and non-technical audiences. These projects often push the boundaries of what's currently possible, offering a dynamic and intellectually stimulating work environment.

Is Q-Ctrl a real company?

Q-Ctrl is a real company that specializes in quantum control solutions and software for quantum computing and quantum hardware development. It provides tools and expertise to help improve qubit performance and error correction in quantum systems.

What are the key skills and qualifications needed to thrive in the Quantum Ai position, and why are they important?

To thrive in a Quantum AI role, you need a strong background in quantum computing, machine learning, linear algebra, and advanced programming, typically supported by a graduate degree in computer science, physics, or a related field. Experience with programming languages such as Python, Qiskit, or Cirq, and familiarity with quantum simulation platforms or cloud quantum services, are highly valued. Creativity, problem-solving skills, and the ability to collaborate across interdisciplinary teams help you stand out. These abilities are crucial for developing, optimizing, and deploying innovative AI solutions on quantum hardware in a rapidly evolving technology landscape.

What is a Quantum AI job?

A Quantum AI job involves developing algorithms and models that leverage quantum computing principles to enhance artificial intelligence applications. Professionals in this field work on quantum machine learning, optimization problems, and data processing using quantum computers. They typically have expertise in quantum mechanics, computer science, and AI. Roles may include research scientists, software engineers, or data scientists specializing in quantum algorithms.

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Quantum Ai jobs near you

Technical Lead, Software Technical Infrastructure, Quantum AI

Google

Goleta, CA • On-site

Full-time

Posted 22 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 188 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Technical Lead for their Quantum AI team. In this role, you will manage and lead a team focused on building service infrastructure and drive alignment on RPC standardization for quantum computing projects.
Responsibilities:
• Lead a team of building service infrastructure (discovery, auth, observability, and rollout), owning the goals and roadmap to influence broader engineering direction.
• Scope problems and recommend solutions for both short- and long-term needs, taking ownership of implementation or delegating to colleagues as required.
• Drive multi-quarter outcomes as a lead contributor, separately designing and implementing solutions that solve highly ambiguous technical tests.
• Maintain high-quality standards through code authorship and reviews, ensuring best practices in optimization while contributing to documentation and educational content.
• Seek design feedback to determine when to enhance or build new systems, collaborating closely with research, hardware, and electronic engineering teams.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 3 years of software development experience or 1 year with an advanced degree.
• 2 years of experience working with Kubernetes.
• 2 years of experience building RPC infrastructure.
• Experience with people management or as a direct technical lead of a customer-facing product.
Preferred:
• Experience with google cloud platform technologies.
• Experience with google distributed cloud.
• Experience with One Platform, Apigee, OpenAPI, AIPs, and other API standards.
• Experience building developer infrastructure.
• Familiarity with quantum computing with an enthusiasm to learn more.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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