4,972 Computer Vision Engineer jobs in the United States

Overview

We are a well-funded stealth startup backed by a proven unicorn founder, building the next generation of AI-powered consumer hardware. We’re assembling a small, elite team to create revolutionary products that integrate cutting-edge voice, vision, and AI technologies. If you’re excited about building computer vision systems from the ground up and shipping world-changing technology—we’d love to talk.

The Role

Join as one of our first AI engineers to build the computer vision pipeline that powers our device. You’ll work directly with founders who’ve built unicorn companies and know how to ship fast. This is computer vision at its finest—real-time object detection, scene understanding, and visual AI that needs to work flawlessly in people’s homes.

• Build real-time computer vision and object detection systems
• Implement and optimize YOLO, VideoMAE, and similar CV models
• Work with Vision Language Models (VLMs) for multimodal AI experiences
• Deploy and optimize models for edge inference on consumer hardware
• Integrate computer vision with our broader AI system and device capabilities
• Performance tuning for real-time video processing constraints
• Build visual AI features that understand and respond to the user’s environment

• 4+ years experience with computer vision and deep learning
• Strong Python and/or C++ programming skills
• Hands-on experience with YOLO, VideoMAE, or similar CV architectures
• Experience with Vision Language Models and multimodal AI systems
• ONNX model deployment and optimization experience
• NVIDIA CUDA development for CV applications
• Track record of shipping real-time computer vision products
• PyTorch, TensorFlow, OpenCV, or similar CV frameworks

• Build an ambitious product with real-world impact from prototypes to mass production
• Work with founders who’ve built unicorn companies and know how to ship fast
• Competitive compensation, equity, and the chance to shape the product—and the company
• Small empowered team. No bureaucracy. Big upside.

Ready to build the future of visual AI? Send us your resume and examples of your computer vision work.

At Brahma Consulting Group, we specialize in connecting top-tier talent with innovative companies across the tech landscape. We’re currently partnering with one of our clients to hire a Computer Vision Engineer with experience in Robotics and Perception.

As a Computer Vision Engineer, you’ll design, develop, and deploy cutting-edge object detection and tracking pipelines, optimize models for edge devices, and collaborate on robust autonomy solutions for outdoor robotics.

• Architect and implement pipelines for object detection, semantic/instance segmentation, and tracking in dynamic scenes
• Train and evaluate models using PyTorch or TensorFlow, leveraging curated, noisy, or weakly-labeled data
• Optimize deep learning models for edge deployment (TensorRT, pruning, quantization, inference profiling)
• Create pre-processing, augmentation, and post-processing methods for real-time performance
• Manage and assess datasets provided by labeling teams
• Collaborate with cloud and systems engineers to deploy and iterate models on Jetson platforms (Orin, Xavier, Nano)
• Validate models in real-world scenarios, analyze performance and failure cases
• Integrate perception outputs with autonomy logic and mission control systems

• M.S./Ph.D. in Computer Vision, Robotics, AI, or equivalent industry experience
• 4 years experience with object detection, segmentation, and tracking for natural scenes
• Strong Python skills for ML development/deployment
• ROS2 experience (node development, CLI tools, message integration)
• Expertise in PyTorch or TensorFlow, model customization and transfer learning
• Experience deploying models on Jetson devices; optimizing for edge constraints
• Familiarity with TensorRT, torchscript, and related tools
• Experience with embedded Linux development and debugging
• Knowledge of AWS or GCP for data management/training
• Experience with versioning/model tracking tools (DVC, Weights & Biases, MLflow)

Established in 2021, Looq AI is not your average tech company. We’re a fast-moving startup building intelligent 3D visual systems from the ground up. Our work sits at the intersection of computer vision, geometry, and custom hardware, with applications ranging from mapping to digital reconstruction. We’re a small, focused team of engineers and researchers solving hard problems with an eye for quality, clarity, and impact.

We’re looking for a Computer Vision Engineer with a strong background in software engineering and a deep understanding of 3D vision. You’ll be one of the early technical hires helping us build the core systems that power our visual computing pipeline—from image capture to geometric reconstruction. This is a full-time role based in San Diego , with remote flexibility available for highly qualified candidates. It’s ideal for someone who thrives in small teams, values ownership, and wants to have a real impact on both research and production.

What You’ll Do:

• Develop and implement algorithms in 3D computer vision (SfM, SLAM, depth estimation, multi-view stereo, robotics & navigation, etc.)
• Write clean, maintainable code that bridges research and real-world performance
• Work closely with our hardware team to co-design our overall product
• Design and optimize vision pipelines for large-scale processing and efficient runtime
• Prototype quickly, iterate on ideas, and own projects from concept to deployment
• Help shape our technical roadmap and codebase as we grow

Requirements:

• Master’s degree or Ph.D. in Computer Science, Electrical Engineering, or a related field
• Strong research experience in computer vision, robotics, or related areas (e.g., academic research, publications, or thesis work)
• The ability to ship production code from the get-go, specifically in Python and C++
• Experience with one or more of: SfM, SLAM, or depth estimation/multi-view stereo
• Familiarity with tools like PyTorch, OpenCV, and similar libraries
• Comfortable working in a fast-paced environment with minimal structure

Nice to Have:

• Exposure to neural methods for SfM, SLAM, and depth estimation
• Experience integrating computer vision with custom camera systems or sensor hardware
• Familiarity with GPU acceleration
• Prior startup experience or interest in early-stage environments
• Contributions to open-source vision tools or published academic work

What we Offer:

• Meaningful equity and competitive compensation
• A collaborative and low-bureaucracy team culture
• The opportunity to work across the stack: from hardware integration to high-level vision systems
• Ownership over core technical challenges from day one
• Flexibility: we prefer on-site availability to integrate and work with the team

Location:

This role is based onsite in the beautiful Sorrento Valley, San Diego. Hybrid or remote arrangements may be considered for exceptional candidates.

We’re excited to offer comprehensive Health, Vision, and Dental coverage, along with a 401K plan. Plus, you’ll enjoy unlimited vacation time to recharge and relax!

Compensation: Base salary ranging from 180,000 to 275,000 (USD) in addition to stock options and performance-based commission.

Join Us: At Looq AI, we value diversity. We are an equal opportunity employer of minorities, females, veterans, and individuals with disabilities. We don’t just talk the talk; we walk the walk.

If you’re ready to be part of an innovative team, submit the form below and email your resume to

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Develop cutting-edge computer vision applications

Apply deep learning to image recognition and automation

Job Information

Title: Computer Vision Engineer

Location: Flexible / Remote

Employment Type: Full-Time

Compensation: $125,000 – $200,000

We are seeking a Computer Vision Engineer to design and deliver advanced applications in object detection, image classification, and video analysis. You will build real-time systems for processing visual data and implement neural networks that power image recognition, automated quality inspection, and other high-value use cases.

• Develop computer vision models for object detection, classification, and video analytics.
• Build and optimize real-time image and video processing systems.
• Implement convolutional and recurrent neural networks for visual tasks.
• Leverage CUDA and GPU acceleration to optimize performance.
• Collaborate with cross-functional teams to integrate computer vision into production systems.
• Conduct experimentation and benchmarking to improve accuracy and efficiency.

• 3–6 years of experience in computer vision engineering or related roles.
• Strong knowledge of OpenCV, CNN/RNN architectures, and image processing techniques.
• Proficiency in Python and frameworks such as PyTorch.
• Hands-on experience with CUDA and GPU-based optimizations.
• Proven ability to design, train, and deploy vision models in production.
• Strong problem-solving skills and an innovation mindset.

This role is ideal for someone passionate about applying computer vision and deep learning to real-world problems. You will design scalable systems that bring automation, accuracy, and intelligence to visual data challenges.

• Contribute to impactful AI-driven applications.
• Work at the intersection of vision, AI, and real-time systems.
• Competitive compensation and opportunities for innovation.

Computer Vision Engineer

Vimaan is looking to a Computer Vision Engineer at its headquarters in Santa Clara to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large scale computer vision and deep learning models to build a product that creates a disproportionate value for warehouse industry. The role involves hands on CV/ML software development and deployment – from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The nature of certain projects requires US citizenship so that will be a must have criteria.

The ideal candidate has the following attributes:

• MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields or BS with 3+ years experience in Computer Vision/Machine Learning
• Hands on experience in developing new learning algorithms for one or more of computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models etc., and representational learning with a varied amount of data – from a few samples to a very large dataset.
• Knowledge of current DL literature and the mathematical foundations of machine learning
• Ability to train and debug deep learning systems – from defining datasets and evaluation metrics, model training, deployment, failure characterization, and iterative improvement
• Strong programming skills and development experience with python and ML/DL frameworks such as Tensorflow, Pytorch etc.
• Deep insights into data characteristics and ability to map those to appropriate model architectures
• Experience working with inputs coming from multiple cameras and input modes is a plus.
• Hands on experience with MLOps tools & methods is a plus.
• Experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization is a plus
• Highly motivated and passionate individual with a very strong work ethic, ability to work in a team and work independently under supervision and guidance in a matrix management environment
• Ability to work in a fast paced, high pressure startup environment and adapt to rapidly changing requirements.

Overview

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics.

In the Human Interactive Driving team, we are looking to build the future of intelligent vehicles that center the human experience. We do this by simultaneously working to understand human learning, while also pushing the limits of what can be achieved with autonomous control. Then, we bring the two elements together in a shared autonomy framework, amplifying human potential.

This role would be part of a new “Mobility 3.0” project that aims to bridge the gap between pure research and new product development. We will work closely with partners in Japan to rapidly prototype novel applications of innovative technology (including, of course, AI) to different types and scales of vehicles (including very small).

• Work across teams to ideate on novel concepts for computer vision applications, including understanding and communicating the benefits and limitations of the current state-of-the-art, and the sensitivity to data availability and quality.
• Work multi-functionally with mechanical, electrical, and software engineers to build development and testing plans for computer vision components of larger, integrated mechatronics projects.
• Own the design, development, and deployment of computer vision systems for unique vehicle types.
• Travel occasionally to engage in testing of experimental vehicles, including to California and Japan.

• MS in Computer Science or related field, or BS + 3-5 years of experience.
• Experience in fine-tuning, training, and deploying ML computer vision systems.
• Familiarity with the current state of the art for computer vision.

• Experience with real hardware, e.g. robots with cameras, is a huge plus.
• Experience with ML infrastructure is a plus.

The pay range for this position at commencement of employment is expected to be between $176,000 and $264,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

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Awaiting the full JD for the role of Senior Perception Engineer for a robotics startup. They are entering an exciting growth stage and are looking for somebody to lead, in an individual contributor capacity, their core perception / computer vision architecture.

• Lead the core perception / computer vision architecture in an individual contributor role.

• 4+ years of classical computer vision experience.
• Experience in object detection and tracking, depth estimation, 3D structure reconstruction, SLAM, LiDAR, and sensor fusion is ideal.

Salary is ideally up to $200,000, with some flexibility for the right candidate.

• Seniority level: Mid-Senior level
• Employment type: Full-time

Overview

We are looking for a computer graphics engineer to work with the team on developing synthetic data to train and validate 3D Machine Learning features in Quest and Wearable products. A successful engineer will have deep development experience in C / Python, as well as with 3D packages such as Blender, particularly in the domain of scene generation (both exterior and interiors). An extra plus would also be experience or interest in ML based rendering techniques.

• Work with engineers and technical artists to build and render procedural / ML techniques for creating indoor and outdoor scenes
• Contribute to scaled rendering pipelines generating millions of image frames
• Partner with Computer Vision / Machine Learning teams on dataset creation including requirements and deliveries.
• Build scaled workflows encompassing an entire render pipeline from sensor simulation and scene generation to rendering and ground truth creation (creating semantic segmentation, depth, normals, etc)
• Study state-of-the-art algorithms in the field of camera-based signal processing
• Assess and recommend emerging technologies through close partnership with external, industry leading suppliers
• Analyze and improve efficiency of algorithms

• Expert knowledge of Python / C
• Experience in at least one graphics system (Blender preferred)
• Strong general computer graphics knowledge and experience
• Excellent communication skills both verbal and written
• Strong analytical and problem-solving skills
• Preferred: Knowledge in 3D computer vision / machine learning

• Master degree in software engineering / computer science / computer graphics

The typical base pay for this role across the U.S. is: 75.00 - 92.43/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.

For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy ( ). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter.

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About Duranta & What We’re Looking For

Duranta’s mission is to help create a more beautiful world. Every year, over 1.5 million acres of land in the US is being converted into dwelling areas, and we are building the platform that landscapers will use to design beautiful, ecological spaces, and run efficient businesses. We are seeking a Computer Vision Engineer to join our team.

We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world from aerial and oblique imagery. Our team includes award winning engineers and scientists (Forbes AI 50, CVPR, SIGGRAPH) with backgrounds from Stanford, UC Berkeley and CMU. We’re working on developing a modular, scalable ML pipeline to power broad geospatial intelligence.

You will work closely with the founding team on deep learning research and deployment across semantic and instance segmentation, few-shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive intelligence from aerial imagery.

• Building the components of a state-of-the-art computer vision pipeline for our AI system
• Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
• Run experiments at scale with deep learning frameworks like PyTorch
• Develop and maintain clean, modular ML infrastructure
• Collaborate on model deployment and inference optimizations
• Read and reproduce ideas from latest papers (CVPR, NeurIPS and other similar top-tier venues)

• Have 2+ years experience in ML / deep learning, ideally in Computer Vision
• Have strong coding ability (Python, PyTorch)
• Have trained segmentation/detection models on real-world data at scale
• Have experience with generative modeling and large foundation models
• Have worked in startups or fast-moving teams and can wear many hats

• Experience with high-res aerial/remote sensing imagery and LiDAR
• Experience with self-supervised and weakly-supervised learning
• Knowledge of 3D, CAD and computer graphics
• Experience with cloud computing (e.g., AWS)

• API = Assume Positive Intent. The company, the relationship with co-workers and customers, and life is so much better and more fun if you follow this rule.
• Speed is the essence. We are in a hurry to make a difference.
• Expect Peak Performance. We strive for excellence and empower those around us to do the same.
• Build something beautiful. A beautiful product, a beautiful company, and a more beautiful world.

$150,000 - $210,000 a year

+ equity

Note: Base salary & equity will depend largely on leveling.