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Senior Quantum Ai Jobs (NOW HIRING)

IonQ

Senior Field Engineer - US Federal

$192K - $252K/yr

As a Senior Quantum Field Engineer, you'll be part of a team whose mission is to lead IonQ on its ... AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ ...

IonQ

Senior Field Engineer - US Federal

IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting ... AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ ...

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How much do senior quantum ai jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior quantum ai in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What does a senior quantum AI do?

A Senior Quantum AI professional leads research and development at the intersection of quantum computing and artificial intelligence. Their responsibilities include designing quantum algorithms to solve complex AI problems, collaborating with cross-functional teams, and optimizing machine learning models for quantum processors. They also stay up-to-date with advances in both quantum technologies and AI, guide junior researchers, and often contribute to academic publications or patents. This role is critical for advancing the integration of quantum computing into practical AI applications.

What are some common challenges faced by a senior quantum AI specialist when integrating quantum algorithms into existing machine learning workflows?

One common challenge is bridging the gap between classical and quantum computing resources, as current quantum hardware often requires specialized knowledge and adaptation of algorithms to fit within hardware limitations. Senior Quantum AI specialists frequently need to optimize quantum circuits and manage issues like decoherence and noise, which can impact the reliability of results. Additionally, they must collaborate closely with data scientists, software engineers, and hardware teams to ensure seamless integration and effective deployment of quantum-enhanced models. Staying updated with rapid advancements in both quantum computing and AI is crucial for success in this evolving field.

What are the key skills and qualifications needed to thrive as a senior quantum AI specialist, and why are they important?

A Senior Quantum AI specialist requires deep expertise in quantum computing, advanced machine learning, and a strong background in mathematics or computer science, often supported by a relevant master's or PhD. Familiarity with quantum programming languages (such as Qiskit or Cirq), classical AI frameworks, and experience using high-performance computing systems are typically expected. Exceptional problem-solving abilities, collaboration skills, and strategic thinking help professionals excel in complex, multidisciplinary environments. These competencies are vital to drive innovative solutions and advance research in the rapidly evolving field of quantum artificial intelligence.

What is the difference between Senior Quantum Ai vs Quantum Software Engineer?

AspectSenior Quantum AiQuantum Software Engineer
Required CredentialsAdvanced degrees in Quantum Computing, AI, or related fields; experience in AI and quantum algorithmsBachelor's or Master's in Computer Science, Physics, or related; programming skills in quantum languages
Work EnvironmentResearch labs, tech companies, academia; focus on AI integration with quantum techTech companies, startups, research institutions; focus on developing quantum algorithms and software
Employer & Industry UsageAI-focused companies, quantum computing firms, research institutionsQuantum computing firms, software development companies, research labs

Senior Quantum Ai professionals typically have advanced degrees and focus on integrating AI with quantum computing, often working in research or high-tech environments. Quantum Software Engineers primarily develop quantum algorithms and software, with a focus on programming and implementation. Both roles overlap in quantum computing but differ in their emphasis on AI integration versus software development.

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Senior Quantum Ai jobs near you
Infographic showing various Senior Quantum Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Quantum Error Correction Research Scientist, Applied Research

Nvidia

Redmond, WA • Hybrid

$110K - $140K/yr

Full-time

Re-posted 22 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Senior Quantum Error Correction Research Scientist for Quantum Computing Applied Research, you'll focus on technical pathfinding, helping to develop innovative technologies that advance the state of Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers, and work with multi-functional teams in Product, Engineering and Applied Research.

Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you'll join a rapidly growing Quantum Computing team, and work with partners across the industry. You'll help unlock new capabilities in fault tolerance, and bring theory into practice.

Do you love developing new technology, enjoy working with collaborative people and teams all around the world, and operating at the speed of light. If yes, we would love to hear from you. What you'll be doing: Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware Research and co-design improved methods to achieve more scaled decoders Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving What we need to see: Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D

preferred) Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry A demonstrated ability to deliver high impact value in quantum error correction and decoding Ways to stand out from the crowd: Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning Experience with co-design of quantum error correction with quantum hardware or quantum applications Experience with CUDA and NVIDIA GPUs Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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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

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