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Remote Computer Vision Engineer Jobs in Virginia

QCi

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information ...

CGI Inc.

Remote Support Engineer, Junior

Arlington, VA · On-site +1

Remote Support Engineer, Junior Category: Service Desk / End User Services Main location: United ... Strong troubleshooting skills, understanding of computer hardware and software, networking basics ...

Cmu

AI Security Software Engineer

Arlington, VA · On-site +1

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of ... computer vision, autonomy, audio analysis) * Experience and knowledge in cybersecurity best ...

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Remote Computer Vision Engineer information

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in Virginia? The most popular types of Computer Vision Engineer jobs in Virginia are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Virginia? For Remote Computer Vision Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Virginia look for? The top searched job categories for Remote Computer Vision Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Computer Vision Engineer jobs? Cities in Virginia with the most Remote Computer Vision Engineer job openings:
Remote Computer Vision Engineer jobs near you
Solutions Sales Engineer (Remote)

Solutions Sales Engineer (Remote)

QCi

On-site, Remote

Full-time

Re-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 highimpact, customerfacing role responsible for driving both technical adoption and revenue growth. This role blends solutions engineering, sales engineering, product expertise, Python prototyping, and handson deployments for QCi's quantum and quantuminspired computing platforms.


You will support the full customer lifecycle: presales discovery, demos, proofofconcepts, deployment, onboarding, troubleshooting, and longterm adoption. You should be equally comfortable designing technical solutions, presenting to customers, and rolling up your sleeves during onsite installs for multiday 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 customerfacing 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 Pythonbased proofsofconcept to validate use cases and demonstrate platform capabilities.
  • Lead onsite deployments, integrations, and user onboarding (including multiday 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 crossfunctionally 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 customerfacing 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 decisionmaking.
  • 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 onsite 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 problemsolving skills in fastmoving environments.
  • Experience with collaboration/support tools such as Jira, Confluence, Salesforce, and ticketing systems.
  • Willingness to travel 30-50%, including multiday onsite customer engagements (3-5 days).


Employment Type: FULL_TIME

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