Top AI Computer Vision Engineer Jobs Openings in 2025

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Camera Systems Engineer to drive current and future camera system requirements and designs and enable scaled manufacturing and deployment.  We are developing a broad suite of technologies that enable the operation of our CV/ML platform, including but not limited to camera and computer vision systems, edge and embedded computers, IoT sensors and automated access control systems. As a senior member of the Advanced Technologies (AT) organization, you will be responsible for working up and down the camera stack, providing requirements and designs at the optics and CMOS level, working with team members to implement the ISP and processing pipeline, and ensuring field applications are understood and addressed by our imaging solutions. You will collaborate cross-functionally with members of the Hardware, Embedded Software, Machine Learning and Technical Operations teams to shepherd camera systems from inception through to scaled production.  The right candidate will be comfortable working at all levels of camera system development - performing detailed analysis at the optics/sensor level, tuning ISP settings, driving alignment with hardware and software integrations, engaging with manufacturing teams, and even getting ahead of application and environmental considerations that impact deployment.  You must be able to thrive and succeed in an entrepreneurial environment, working collaboratively in a fast-paced environment with multiple stakeholders.  You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in, and get the job done.  If you have a background in cameras, sensors, computer vision or autonomous systems, and are interested in developing systems that go out into the real world, please reach out!   Responsibilities Generate camera and camera system requirements that support business objectives, and develop camera system designs based on detailed systems and tradeoff analyses. Decompose camera system requirements for dissemination to contributing teams, including metric definition and measurement approaches. Work cross-functionally with hardware, machine learning, embedded software, technical operations and manufacturing teams to design, develop and deploy camera solutions to Metropolis facilities. Support camera system design and validation processes, including manufacturing and test / calibration. Perform optical and camera system simulations / tests as required to quantify and validate proposed solutions. Work with partners to enable manufacturing of designed camera systems, including establishing test and validation processes and criteria. Work with vendors of cameras and optical devices/components to evaluate their capabilities against our needs and specify our requirements to them. Create, utilize, and maintain a camera lab for evaluating new vision technologies and to use as part of a larger QA process for maintaining the integrity of our camera designs. Support troubleshooting of field-deployed systems   Qualifications  MS or PhD in Engineering, Physics, Computer Science, Imaging Science or equivalent 5+ years of industry experience working with imaging systems Deep understanding of camera technologies, optical systems, and imaging pipelines Practical experience with optics, image sensor and pixel fundamentals, and camera construction and assembly.  Hands on experience with imaging system test and validation systems, including measurement of traditional and product specific image quality metrics. Production experience with end-to-end imaging processing pipeline, including HDR and image quality modules. Proven track record of productizing 3A and ISP algorithms and settings tailored to camera use cases Familiarity with computer vision and machine learning fundamentals, including algorithm development, modeling and optimization. Experience performing data analysis and automation to yield actionable insights Delivered at least one camera system from concept to mass production. Experience with at least one relevant modern programming language (Python, etc.) Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Previous experience working inside innovative, high-growth environments is a plus Role is hybrid on-site in Seattle, WA   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:The Staff State Estimation Engineer will coordinate with cross-functional teams and drive the development of advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. They will derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.Responsibilities: Lead high-impact multidisciplinary projects across teams and work independently to define the scope and work requirements.Derive and implement novel, real-time pose estimation algorithms and share the work across a multidisciplinary team.Research, develop, and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration, and/or vision-based localization.Collaborate with deep learning, device, and cloud teams to improve overall system architectures.Manage complex, cross-functional projects from conception to deliveryCreate and maintain comprehensive project roadmaps and technical documentationProgram and develop software in C++ and perform detailed code reviews for other team membersRequired Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) with all of the following: programming in C++; designing and developing software; classical ML, Linear Algebra.Understanding of stochastic processes, geometric computer vision techniques, and nonlinear/convex optimization algorithms.Understanding of various filtering algorithms (Kalman filters, particle filters, etc.) and nonfiltering techniques (nonlinear least squares, IRLS, etc.)Understand numerical stability, sensor modeling, and system/noise identification concepts.Understand theoretical shortcomings in modern algorithms and problem solve to overcome them.Understanding of camera geometry, bundle adjustment, stereo vision, structure from motion, feature tracking, multi-object tracking, IMU integration, factor graphs, etc.Published research in computer vision and robotics (if M.S. or Ph.D.).Strong leadership and communication skills.Experience in technology transfer and commercialization.Preferred Qualifications:Experience deploying SLAM/VIO estimators in a real-world application.Experience with multiple sensors such as GPS, IMU, camera, and wheel odometry.Experience utilizing/interacting with deep learning approaches to improve results.Experience leading a small team of engineers.

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:Derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.Responsibilities: Program and develop software in C++ and/or pythonDerive and implement novel, real-time pose estimation algorithmsResearch, develop and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration and/or vision-based localizationCollaborate with deep learning, device, and cloud teams to improve overall system architecturesRequired Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.5+ years of experience (3+ with M.S degree, 2+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.5+ years of experience (3+ with M.S degree, 2+ with Ph.D.) with all of the following: programming in C++, designing and developing software, classical ML, linear algebra.Understanding of stochastic processes, geometric computer vision techniques, and nonlinear/convex optimization algorithms.

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Job Description:Shield AI is looking for early-career engineers who are excited to grow their skills while working on impactful technologies. As an Engineer II, you will contribute to the development of several core perception capabilities that will advance the state of the art in GPS-denied navigation, object detection, multi-target tracking, and global mapping for applications related to aircraft autonomy. You’ll work on real-world problems in areas like robotics, computer vision, and infrastructure gaining exposure to how advanced technology makes it from prototype to production. This role is ideal for someone early in their career who wants to grow as a developer while collaborating with experienced teammates in a fast-paced, mission-driven environment.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are looking for a Computer Vision Engineer to join our Machine Learning and Computer Vision team. This role is crucial for developing core technical components across various robotics/aerospace projects.ResponsibilitiesResearch & Data Preparation: Conduct research on state-of-the-art Computer Vision methodologies. Participate in the creation and curation of training and validation datasets. Perform statistical analyses and develop visualization tools to ensure data quality.Algorithm Development & Optimization: Build and refine training pipelines and metrics to enhance model performance.Develop and optimize Computer Vision algorithms for multiple robotics/aerospace projects.Deployment & Integration: Implement ML/CV models into production-ready environments. Ensure seamless integration with Harmattan AI’s systems and conduct rigorous code reviews.Validation & Monitoring: Test algorithms in real-world environments and develop monitoring tools. Track model performance and continuously improve deployed solutions.Cross-Team Collaboration: Work closely with software and simulation teams to align development with system requirements. Communicate findings effectively to stakeholders.Candidate RequirementsEducational Background: A degree from a top-tier engineering school or university (Master’s degree in Computer Science or related field, PhD is a plus)Technical Expertise: Strong mathematical foundations, coding skills (Python, C++ is a plus) and hands-on ML/CV project experience. Experience in top AI companies is a huge plus.Passion for ML: Enthusiasm for Machine Learning and Computer Vision. Strong Communication & Teamwork: Ability to collaborate effectively with diverse teamsCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Our Mission:At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost. Our Vision:We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.The Role:As a Computer Vision Engineer you are presented with a unique and exhilarating challenge: You will be building flexible, scalable and maintainable deep learning pipelines. You will be working on 2D image-classification, object-detection, semantic & instance segmentation, metric learning, smart filtering and many more while researching the latest applicable SOTA methods.What You'll Do:Develop 2D/3D imaging based solutions to recognize objects, anomalies or certain events.Contribute to the design and development of in-house MLOps.Implement end-to-end CV / ML applications and deploy them to production which will be running 24/7.Apply SOTA methods to create the next generation of robotics with an international multidisciplinary team.Who You Are:A very skilled and experienced computer vision or machine learning engineer who has a professional background in 2D/3D Computer Vision and 2D/3D Deep Learning.A professional software engineer who has implemented solutions for production grade systems for 3+ years.You have extensive experience with Python and are familiar with other programming languages, such as C++.You have experience with deep learning frameworks such as PyTorch and Tensorflow, computer vision frameworks such as OpenCV, Numpy, Pandas and others.You have in-depth knowledge of model optimization, model conversion, model deployment and are familiar with edge device compute.You have experience with MLOps, experiment tracking, data versioning and model serving on platforms such as MLFlow, W&B, CometML, ClearML, etc.You have experience with imaging hardware, such as industrial cameras, 3D cameras and stereo systems.You have a product oriented mentality.You have the ability to break down complex problems into small sub problems and build efficient hierarchical solutions.You have the capacity to work with multidisciplinary and international teams and are an excellent communicator who can articulate complex architecture and solution design concepts in a clear, compelling manner.You are passionate about robotics, automation, and the transformative potential of intelligent systems.Good to Have:You have experience with synthetic data generation, domain transfer and an ability to design smart and optimized data collection strategies.Experience with ROS, Docker, Kubernetes, AWS / GCE.Experience with NVIDIA edge devices, deployment and robotics stack.Experience with Multi Domain models and contrastive learning.Why Sunrise Robotics?Play a pivotal role in defining the future of intelligent robotics and manufacturing.Be part of a company that is at the forefront of technological innovation, with a clear mission and vision.Competitive compensation, including equity, and a flexible work environment that values innovation, learning, and excellence.