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Remote Quantum Engineering Jobs in Gaithersburg, MD

Tyto Athene, LLC

Buyer

Reston, VA · On-site +1

$75K - $85K/yr

Remote or telework may be considered for the right candidate. Compensation: * Compensation is ... Quantum Sky engineers the advantage across cyber, networks, software, and quantum because the ...

Husch Blackwell LLP

Patent Agent

Washington, DC · Remote

$100K - $170K/yr

The patent prosecution team is presently 35+ attorneys, 10 patent agents & engineers, and 15 ... Artificial Intelligence or Quantum Computing experience a plus. The above is intended to describe ...

Husch Blackwell Llp

Patent Agent

Washington, DC · Remote

$100K - $170K/yr

The patent prosecution team is presently 35+ attorneys, 10 patent agents & engineers, and 15 ... Artificial Intelligence or Quantum Computing experience a plus. The above is intended to describe ...

All JobsQuantum Engineering JobsRemote Quantum Engineering JobsRemote Quantum Engineering Jobs in Gaithersburg, MD

Remote Quantum Engineering information

See Gaithersburg, MD salary details

$35.1K

$68K

$103.2K

How much do remote quantum engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote quantum engineering in Gaithersburg, MD is $68,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $77,800.00 per year, depending on experience, location, and employer.
What are popular job titles related to Remote Quantum Engineering jobs in Gaithersburg, MD? For Remote Quantum Engineering jobs in Gaithersburg, MD, the most frequently searched job titles are:
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What cities near Gaithersburg, MD are hiring for Remote Quantum Engineering jobs? Cities near Gaithersburg, MD with the most Remote Quantum Engineering job openings:
Remote Quantum Engineering jobs near you
Infographic showing various Remote Quantum Engineering job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,044 per year, or $32.7 per hour.

Solutions Sales Engineer (Remote)

Quantum Computing Inc.

Arlington, VA • On-site, Remote

Full-time

Re-posted 16 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).

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