2

Remote Google Quantum Ai Jobs (NOW HIRING)

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Master's degree or quantum/AI focus preferred. * 5-8+ years in customerfacing technical roles ...

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Master's degree or quantum/AI focus preferred. * 5-8+ years in customer-facing technical roles ...

We have a Remote Quantum Metrics Solution Engineer contract for a long term position. Minimum ... Hands on experience in using Felix AI and integrate session summary/insights with chat/customer ...

Advanced Quantum Mechanics, Electrodynamics, and Classical Mechanics * String Theory, Quantum Field ... Collaborate in a remote, asynchronous environment Who You Are * PhD in Physics from a university in ...

Excellent knowledge and skills in quantum for AI/ML. * Demonstrated expertise in quantum algorithms ... remote in the US. Travel: Up to 30% Job ID: 1173 The approximate base salary range for this ...

Director of Next Gen Product

Schenectady, NY · On-site +1

$150K - $220K/yr

Implement modern tools and integrate AI technologies into core Product Management processes and ... of Quantum. * Proven ability to work effectively in a remote/hybrid environment. * Ability to ...

Director of Next Gen Product

Schenectady, NY · On-site +1

$150K - $220K/yr

Implement modern tools and integrate AI technologies into core Product Management processes and ... of Quantum. * Proven ability to work effectively in a remote/hybrid environment. * Ability to ...

Implement modern tools and integrate AI technologies into core Platforms processes and functions to ... in a remote/hybrid environment * Ability to travel as required. Quantum provides a diverse ...

next page

Showing results 1-20

Remote Google Quantum Ai information

Is Google hiring any remote jobs?

Google offers a variety of remote job opportunities across multiple departments, including roles in AI, software engineering, and research. Remote positions often require relevant skills, experience, and sometimes specific certifications, and they may be full-time or part-time depending on the role and project needs.

What is the difference between Remote Google Quantum Ai vs Remote Quantum Software Engineer?

AspectRemote Google Quantum AiRemote Quantum Software Engineer
Required CredentialsAdvanced degrees in quantum computing, physics, or related fields; experience with quantum algorithmsDegree in computer science, physics, or engineering; programming skills in Python, C++, or similar
Work EnvironmentResearch-focused, collaborative teams within tech companies or research institutionsDevelopment and implementation of quantum algorithms, often in tech or research labs
Employer & Industry UsagePrimarily in tech giants like Google, research labs, and academiaTech companies, startups, and research institutions working on quantum computing

Remote Google Quantum Ai roles focus on advancing quantum AI research within Google, requiring specialized knowledge in quantum algorithms and physics. Remote Quantum Software Engineers develop quantum algorithms and software, often with similar technical credentials but with a broader industry application. Both roles demand strong programming skills and a background in quantum computing, but their primary focus and work environment differ slightly.

What is the salary of quantum AI?

The salary for a Remote Google Quantum AI role varies depending on experience and location but typically ranges from $100,000 to $150,000 annually. Senior positions or specialized skills in quantum computing and AI can command higher compensation, often exceeding $200,000 with bonuses and stock options.

What is a Remote Google Quantum AI job?

A Remote Google Quantum AI job involves working on quantum computing research, development, and applications for Google’s Quantum AI team, but from a remote location rather than on-site. Professionals in these roles may focus on quantum algorithms, error correction, hardware, software development, or advancing real-world applications of quantum computing. These positions typically require strong backgrounds in physics, computer science, mathematics, or engineering, as well as experience with quantum technologies and programming languages like Python or C++. Working remotely allows for flexibility while collaborating with Google’s global teams to push the boundaries of quantum research and technology.

What are the key skills and qualifications needed to thrive as a Remote Google Quantum AI specialist, and why are they important?

To thrive as a Remote Google Quantum AI specialist, you need a strong background in quantum computing, computer science, and mathematics, typically with an advanced degree (Master’s or PhD) in a related field. Proficiency with quantum programming languages (such as Qiskit or Cirq), cloud computing platforms, and familiarity with machine learning frameworks are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills set candidates apart, especially in remote, collaborative environments. These skills and qualities are crucial for advancing cutting-edge research, developing innovative solutions, and contributing to high-impact projects within a distributed team.

What are some common challenges faced by professionals working remotely on Google Quantum AI projects, and how can they be addressed?

Working remotely on Google Quantum AI projects often involves navigating complex technical problems while collaborating across different time zones and disciplines. Communication can be more challenging compared to in-person teams, making it essential to use clear documentation and regular virtual meetings. Additionally, staying updated on rapidly evolving quantum computing research requires self-motivation and proactive engagement with internal and external knowledge-sharing platforms. Building strong relationships with team members through consistent communication and leveraging available support resources can help overcome these challenges and contribute to project success.

How much does Google Quantum AI pay?

Salaries for roles at Google Quantum AI vary depending on experience and position, but generally range from $100,000 to over $200,000 annually for research scientists and engineers. Compensation may also include bonuses, stock options, and benefits, reflecting industry standards for highly specialized technical roles in quantum computing. Candidates with advanced degrees and skills in quantum algorithms, physics, or computer science tend to earn higher salaries.

How to get a job in Google AI?

To get a job in Google AI, candidates should have a strong background in computer science, machine learning, or quantum computing, along with relevant experience and skills in programming languages like Python and frameworks such as TensorFlow. A relevant advanced degree (master's or PhD) is often preferred, and applying through Google's careers portal with a tailored resume and cover letter is essential. Demonstrating research contributions, technical expertise, and familiarity with AI tools can improve chances of selection.
More about Remote Google Quantum Ai jobs
What cities are hiring for Remote Google Quantum Ai jobs? Cities with the most Remote Google Quantum Ai job openings:
What are the most commonly searched types of Google Quantum Ai jobs? The most popular types of Google Quantum Ai jobs are:
What states have the most Remote Google Quantum Ai jobs? States with the most job openings for Remote Google Quantum Ai jobs include:
Infographic showing various Remote Google Quantum Ai job openings in the United States as of June 2026, with employment types broken down into 6% Full Time, 72% Part Time, and 22% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
Solutions Sales Engineer (Remote)

Solutions Sales Engineer (Remote)

Quantum Computing Inc.

Arlington, VA • On-site, Remote

Full-time

Posted 19 days ago


Job description

Job Title
Solutions Sales Engineer
Job Description
Location: Hoboken, NJ or Remote with Travel
Division: Revenue
Department: Customer Success
About Us:
Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description:
The Senior Solutions Sales Engineer is a high-impact, customer-facing role responsible for driving both technical adoption and revenue growth. This role blends solutions engineering, sales engineering, product expertise, Python prototyping, and hands-on deployments for QCi's quantum and quantum-inspired computing platforms.
You will support the full customer lifecycle: pre-sales discovery, demos, proof-of-concepts, deployment, onboarding, troubleshooting, and long-term adoption. You should be equally comfortable designing technical solutions, presenting to customers, and rolling up your sleeves during on-site installs for multi-day engagements. Ideal for someone who thrives in emerging technology, enjoys field work and collaboration, and can translate complex quantum concepts into practical business value.
Duties and Responsibilities:
  • Serve as the primary customer-facing technical lead, handling discovery, demos, support, and ongoing guidance.
  • Review, triage, and route support tickets while maintaining clear communication with customers and internal teams.
  • Develop Python-based proofs-of-concept to validate use cases and demonstrate platform capabilities.
  • Lead on-site deployments, integrations, and user onboarding (including multi-day customer visits).
  • Translate quantum and reservoir computing concepts into practical business value for diverse audiences.
  • Support the sales cycle through technical discovery, demos, solution design, and proposal inputs.
  • Represent QCi at conferences and events by delivering live demos and engaging prospects.
  • Capture customer feedback and insights to inform product improvements, documentation, and internal workflows.
  • Collaborate cross-functionally with Sales, Engineering, Product, Data Science, and Marketing to deliver tailored solutions and aligned customer experiences.

Required Skills and Experience:
  • Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information Technology, Natural Sciences, or related technical/business field.
  • Master's degree or quantum/AI focus preferred.
  • 5-8+ years in customer-facing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering, Application Engineering).
  • Strong track record supporting sales cycles, delivering demos, and enabling technical decision-making.
  • Advanced Python proficiency, including scripting, prototyping, data libraries (pandas, numpy), and experience supporting embedded software or internal tools.
  • Understanding of resource access, system permissions, APIs, and basic architecture principles.
  • Experience in on-site deployments, system integrations, hardware/software configuration, and troubleshooting.
  • Confident public speaker capable of representing QCi at industry events and customer briefings.
  • Excellent written/verbal communication and the ability to break down complex concepts for any audience.
  • Strong organization, prioritization, and problem-solving skills in fast-moving environments.
  • Experience with collaboration/support tools such as Jira, Confluence, Salesforce, and ticketing systems.
  • Willingness to travel 30-50%, including multi-day onsite customer engagements (3-5 days).