Computer Vision Research Engineer Jobs
Computer Vision Research Engineer jobs are open across autonomous vehicles, robotics, healthcare imaging, and consumer electronics, with specializations in deep learning, 3D reconstruction, and real-time inference, from new-grad to principal and staff levels. Find a role that fits below and apply directly.
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Showing 5 of 134+ Computer Vision Research Engineer jobs
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Title: Senior Embedded Computer Vision Engineer
Duration: Full-time, direct placement
Location: Remote – must work onsite in the US and work US Eastern Time (ET) hours
Benefits: Excellent benefits available, including unlimited PTO, 401(k) match, a bonus percentage tied to role, fully reimbursed travel and expenses, unlimited e-learning through Coursera
Role:
- Develop state-of-the-art, performance-critical computer vision systems
- Own and drive highly visible performance metrics (e.g., latency, memory, bandwidth, power)
- Work collaboratively in a fast-paced team to analyze and optimize a C++ codebase
- Help establish algorithm performance standards; develop and promote best practices for performance, maintainability, and correctness; provide guidance throughout the software development lifecycle; and share knowledge
- Help drive the integration and development of tooling and automation (profiling, testing/verification, monitoring, etc.) that enables the team to move faster
- Help shape the computing platforms for next-generation products
Qualifications:
- 5+ years of professional experience in computer vision and image processing
- Professional experience developing high-performance, low-latency applications using modern C++
- Experience with low-latency, high-bandwidth real-time data pipelines, batch-processing pipelines, low-power embedded systems, and integrating specialized hardware accelerators
- In-depth understanding of computer architecture, computational bottlenecks, memory hierarchies, cache coherence, SIMD, concurrency, and parallelization
- Strong computer science fundamentals, problem-solving skills, and the ability to write high-quality code
- Experience in code and memory optimization, performance analysis, abstraction and modularity, critical-path optimization, and performance tuning
Preferred Qualifications:
- Experience in high-speed and per-frame camera frame quality evaluation
- Experience with real-time operating systems, Linux, and job scheduling
- Experience with streaming applications using vision-language models (VLMs)
- Education: MSc or PhD in Computer Science, Computer Vision, Robotics, or a related field preferred
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Salary Range is $155,000 to $180,000 USD per year.
Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities.
Fresh Consulting is a participating E-Verify company.
freshconsulting.com
EE7JARZxgu
See more at freshconsulting.com. Visit freshconsulting.com/portfolio to see our project work across several industries.
View and apply to all jobs – https://freshconsulting.applytojob.com/apply/ or visit freshconsulting.com/careers.
Title: Senior Embedded Computer Vision Engineer
Duration: Full-time, direct placement
Location: Remote – must work onsite in the US and work US Eastern Time (ET) hours
Benefits: Excellent benefits available, including unlimited PTO, 401(k) match, a bonus percentage tied to role, fully reimbursed travel and expenses, unlimited e-learning through Coursera
Role:
- Develop state-of-the-art, performance-critical computer vision systems
- Own and drive highly visible performance metrics (e.g., latency, memory, bandwidth, power)
- Work collaboratively in a fast-paced team to analyze and optimize a C++ codebase
- Help establish algorithm performance standards; develop and promote best practices for performance, maintainability, and correctness; provide guidance throughout the software development lifecycle; and share knowledge
- Help drive the integration and development of tooling and automation (profiling, testing/verification, monitoring, etc.) that enables the team to move faster
- Help shape the computing platforms for next-generation products
Qualifications:
- 5+ years of professional experience in computer vision and image processing
- Professional experience developing high-performance, low-latency applications using modern C++
- Experience with low-latency, high-bandwidth real-time data pipelines, batch-processing pipelines, low-power embedded systems, and integrating specialized hardware accelerators
- In-depth understanding of computer architecture, computational bottlenecks, memory hierarchies, cache coherence, SIMD, concurrency, and parallelization
- Strong computer science fundamentals, problem-solving skills, and the ability to write high-quality code
- Experience in code and memory optimization, performance analysis, abstraction and modularity, critical-path optimization, and performance tuning
Preferred Qualifications:
- Experience in high-speed and per-frame camera frame quality evaluation
- Experience with real-time operating systems, Linux, and job scheduling
- Experience with streaming applications using vision-language models (VLMs)
- Education: MSc or PhD in Computer Science, Computer Vision, Robotics, or a related field preferred
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Salary Range is $155,000 to $180,000 USD per year.
Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities.
Fresh Consulting is a participating E-Verify company.
freshconsulting.com
EE7JARZxgu
Computer Vision Research Engineer Jobs by Experience Level
See All 134+ Computer Vision Research Engineer Jobs
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Find JobsComputer Vision Research Engineer Job Market
Who's Hiring
- Apple12
- Meta9
- Booz Allen Hamilton6
- Qualcomm5
- Amazon3
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Telecommunications
- Consulting & Professional Services
- Manufacturing
What Employers Look For
The qualifications that appear most often in computer vision research engineer jobs.
- Advanced degree in computer science, electrical engineering, or a related field
- Proficiency in PyTorch or TensorFlow for training and fine-tuning vision models
- Experience with object detection, segmentation, or 3D scene understanding
- Strong C++ or Python skills for algorithm implementation and optimization
- Familiarity with CUDA programming and GPU-accelerated inference pipelines
- Published research or demonstrated project work in computer vision or deep learning
Tips for Your Computer Vision Research Engineer Job Search
Tailor your resume to deployment context
Employers distinguish between research and production roles. If you've deployed models to edge devices or optimized inference latency, call that out explicitly. A resume that only lists accuracy benchmarks will be passed over for roles that need shipping experience.
Showcase reproducible benchmark results
Link to a GitHub repo, arXiv preprint, or project page where reviewers can verify your numbers. Reviewers will check. Vague claims like 'improved mAP by double digits' without reproducible context raise doubts about the work.
Apply early to roles that fit
Migrate Mate lists computer vision research engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by core framework requirements
Job descriptions that list PyTorch, CUDA, or ONNX as hard requirements signal a production-focused team. Ones that mention JAX or research codebases lean toward pure research. Matching your stack to the posting before applying saves time for both sides.
Prepare a whiteboard coding session for vision primitives
Expect to implement convolution, non-maximum suppression, or IoU from scratch during technical screens. Practicing these in a timed environment is different from using them in a notebook. Fluency at the primitive level signals genuine depth to interviewers.
Negotiate compute access and publication rights
At research-track roles, GPU cluster access and permission to publish are as important as base pay. Ask directly during the offer stage what the publication review process looks like and what compute resources are allocated to your team.
Computer Vision Research Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most computer vision research engineers?
The companies hiring the most computer vision research engineers right now include Apple, Meta, and Booz Allen Hamilton, with the largest share of openings in California, Virginia, and Washington, based on current listings on Migrate Mate as of November 2026. Autonomous vehicle programs, robotics companies, and large consumer electronics firms account for the majority of active postings.
How many computer vision research engineer jobs are remote?
About 52% of computer vision research engineer openings are fully remote or hybrid as of November 2026, though fully on-site roles are common where hardware access or lab equipment is required. Pure research positions and those focused on 2D image analysis tend to be more flexible than roles requiring physical sensor rigs or edge device testing.
How do you become a computer vision research engineer?
Most computer vision research engineers build a foundation in linear algebra, probability, and deep learning before specializing. Earning a graduate degree helps but is not always required if you have a strong project portfolio. Contributing to open-source vision libraries, publishing on arXiv, and completing end-to-end projects from data collection through deployment demonstrate readiness to hiring teams.
How do you get hired as a computer vision research engineer with little experience?
Focus on one narrow sub-area, such as pose estimation or semantic segmentation, and build a public project that shows you can take a problem from dataset curation to a working model. Reproducing a recent paper with your own ablations signals research ability. Applying to companies with structured research internship pipelines gives you a path in without an extensive prior employment record.
What does the computer vision research engineer interview process look like?
The process typically starts with a recruiter screen, followed by a technical phone interview covering math fundamentals and coding. A take-home project or live coding session on vision-specific problems comes next. Final rounds usually include a research presentation where you walk through past work in depth, plus system design and behavioral interviews with the broader team.
Where can I find and apply to computer vision research engineer jobs?
You can find and apply to computer vision research engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your background and apply directly to each listing without being redirected through additional platforms.
See All 134+ Computer Vision Research Engineer Jobs
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