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Senior Computer Vision Engineer Jobs in Washington, DC

Senior Computer Vision Engineer

Columbia, MD · On-site

$160K - $210K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Overview Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross ...

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems that enable Molg's robotic microfactories. * Own the full ...

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

  • Medical

  • Vision

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

The Director of Computer Vision will drive the technical vision, research and engineering execution ... distributed engineering and research organization of 50 to 100 people, mentor senior technical ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

El Segundo, California, USA Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0244633 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experience d AI Developer spe cia lizing in Computer Vision to join our growing team for space solutions.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

El Segundo, California, USA Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in computer vision to join our growing team for ...

Computer Vision AI Engineer

Mclean, VA

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for space solutions. In this ...

Computer Vision AI Engineer

Chantilly, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in computer vision to join our growing team for space solutions. In this ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in computer vision to join our growing team for space solutions. In this ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in computer vision to join our growing team for space solutions. In this ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for space solutions. In this ...

Computer Vision AI Engineer

Chantilly, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for space solutions. In this ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0245087 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experience d AI Developer spe cia lizing in computer vision to join our growing team for space solutions.

Senior Computer Engineer

Bethesda, MD · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Job Title Senior Computer Engineer Location Bethesda, MD 20800 US (Primary) Category Research ... Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A ...

Senior Computer Engineer

Chantilly, VA · On-site

$200K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Senior Computer Engineer. This position is a full-time opportunity ... Prioritize wellness : Stay healthy with medical, dental, and vision coverage with wellness ...

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Showing results 1-20

Senior Computer Vision Engineer information

See Washington, DC salary details

$67.2K

$142.9K

$207.2K

How much do senior computer vision engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior computer vision engineer in Washington, DC is $142,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $162,000.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the most commonly searched types of Computer Vision Engineer jobs in Washington, DC?

The most popular types of Computer Vision Engineer jobs in Washington, DC are:

What are popular job titles related to Senior Computer Vision Engineer jobs in Washington, DC?

For Senior Computer Vision Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Senior Computer Vision Engineer jobs in Washington, DC look for?

The top searched job categories for Senior Computer Vision Engineer jobs in Washington, DC are:

Infographic showing various Senior Computer Vision Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $142,800 per year, or $68.7 per hour.

Senior Computer Vision Engineer

Quidient

Columbia, MD • On-site

$160K - $210K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday


Job description

Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction (GSR). GSR is poised to become one of the world's great digital product categories (think GPS, MRI, and LMM). Our flagship GSR product, Quidient Reality®, is a powerful API that enables anyone with a mobile device to virtualize, visualize, and measure anything. Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs), Large World Models (LWMs), and API-First.
Overview
Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross-product role focused on ensuring CV pipelines are robust, well-integrated, and flowing correctly across every product surface of Quidient Reality®.
This is a full-time hybrid position based in Columbia, Maryland.
What You'll Do
Computer Vision Pipelines
  • Own and maintain end-to-end computer vision pipelines - from image preprocessing and calibration through feature extraction, depth estimation, and segmentation - ensuring data flows correctly across the platform.
  • Diagnose and resolve pipeline failures, data quality issues, and integration bugs across CV modules, keeping reconstruction inputs clean and reliable.
  • Build monitoring, testing, and validation infrastructure around CV pipelines to catch regressions early and maintain output quality.
  • Ensure CV pipelines perform reliably across deployment targets including mobile and autonomous vehicle platforms.
Cross-Team Integration & Tooling
  • Work across product and engineering teams to integrate CV outputs into downstream systems - reconstruction, rendering, and platform services.
  • Define and maintain interfaces and data contracts between CV modules and the teams that consume them, reducing integration friction.
  • Use PyTorch and related frameworks to debug, profile, and maintain ML-based CV components in production.
  • Build tooling and scripts that accelerate development workflows across the CV stack.
  • Contribute production-quality code in C++ and Python across shared CV infrastructure.
  • Collaborate closely with SLAM, SfM, reconstruction, and platform engineering teams to keep the full pipeline healthy and shipping.
What You Bring
Must-Have Qualifications:
  • Master's, or PhD in Computer Science, Computer Vision, Electrical Engineering, or a related field - or equivalent demonstrated experience.
  • Hands-on experience building, maintaining, or improving computer vision pipelines in production.
  • Solid understanding of core CV concepts: camera models, feature detection/matching, depth estimation, image segmentation, and multi-view geometry.
  • Proficiency with PyTorch or a comparable ML framework, applied to computer vision problems.
  • A pipeline-first mindset - you care about data flow, error handling, testing, and operational reliability as much as algorithmic novelty.
  • Strong C++ and Python skills in a production or research codebase context.
  • Good judgment about which techniques from the literature translate to production and which do not.
  • Must be a U.S. Citizen. This position is not eligible for H-1B Sponsorship.
  • Willingness to work on-site in Columbia, MD, in a hybrid capacity.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Experience in fast-paced or startup environments.
  • Experience with 3D reconstruction pipelines, including SfM, MVS, or neural scene representations (NeRF, Gaussian Splatting).
  • Exposure to mobile CV deployment (ARKit, ARCore, on-device inference) or autonomous vehicle perception stacks.
  • Experience with CI/CD, pipeline orchestration, or data validation frameworks in an ML or CV context.
  • Familiarity with SLAM, visual-inertial odometry, or sensor fusion systems.
  • Publications or open-source contributions in computer vision or 3D reconstruction (CVPR, ICCV, ECCV, or similar venues).
What We Offer
Compensation:
  • Salary Range: $160,000 - $210,000
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement
Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.