Top Computer Vision Engineer Jobs Openings in 2025
Looking for opportunities in Computer Vision Engineer? This curated list features the latest Computer Vision Engineer job openings from AI-native companies. Whether you're an experienced professional or just entering the field, find roles that match your expertise, from startups to global tech leaders. Updated everyday.
Computer Vision Engineer, Geometry & Perception
Anduril
5000+
USD
0
146000
-
194000
United States
Full-time
Remote
false
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM
The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution.
ABOUT THE JOB
Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions
Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success
Own building the program management foundation for the acquisition team
Own defining, managing, and improving program management processes for all acquisition implementations
Help implement risk management strategies, identifying potential issues and developing contingency plans
Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track
Define program scope, goals, and deliverables in collaboration with stakeholders and senior management
Facilitate communication and collaboration across cross-functional teams and departments
Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan
Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met
Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes
REQUIRED QUALIFICATIONS
50%+ travel required
insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward
5+ years of program management experience, preferably with managing complex systems and operations implementations
5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives
Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders
Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes
Ability to observe and anticipate potential risks across programs, milestones, timelines, etc.
You are incredibly organized, detail-oriented, and and excel in strategic planning
You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility
You’re discerning and an incredibly fast learner
U.S. Persons status is required as this position needs to access export-controlled data
US Salary Range$146,000—$194,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Healthcare Benefits
US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
Additional Benefits
Income Protection: Anduril covers life and disability insurance for all employees.
Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.
Professional Development: Annual reimbursement for professional development
Commuter Benefits: Company-funded commuter benefits based on your region.
Relocation Assistance: Available depending on role eligibility.
Retirement Savings Plan
US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
UK & IE Roles: Pension plan with employer match.
AUS Roles: Superannuation plan.
The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
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October 28, 2025
Optical Test Engineer
Celestial AI
101-200
-
Singapore
Full-time
Remote
false
About Celestial AI As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOCs) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system’s interconnect bandwidth, memory bandwidth, and memory capacity. Celestial AI’s Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions. The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies. This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Celestial AI is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.ABOUT THE ROLE We are seeking an Optical Test Engineer, based in our Singapore office, to operate and maintain wafer-scale probe stations for silicon photonics testing. In this role, you will execute and refine optical and opto-electronic test procedures, ensure reliable data collection across passive and active components, and work closely with the engineering team in the US to support development and production testing. This position is ideal for an engineer who excels in precision measurement, data analysis, and continuous improvement of test systems. ESSENTIAL DUTIES AND RESPONSIBILITIES Own the operation and maintenance of wafer-scale probe stations for Silicon Photonics testing. Develop and execute test recipes for various passive and active optical/opto-electronic components for library development and production sort. Work with prober vendor to implement new test functionality as needed, including incorporation of new test equipment into prober. Create and execute a maintenance and continuous improvement plan for the test stations to improve test capabilities and gauge. Help setup data infrastructure to handle data outputs from prober. QUALIFICATIONS Specialized skills Good understanding of integrated optics testing requirements and methods. Experience with setting up optical measurements, including familiarity with standard test equipment/components (tunable lasers, PWMs, OSAs, fiber arrays). Direct experience with commercial probe stations is a huge plus. Experience with high-speed test setups to measure opto-electronic S-parameters Ability to collect and analyze complex datasets (i.e. experience with JMP, DataConductor or similar data analysis tools) Experience with automated instrument/machine control using Python/Matlab/LabView/C# Education requirements Minimum BS in engineering or physics. Masters preferred. Experience requirements Minimum 5 years of relevant experience Attributes Self-starter Thrives in a highly collaborative and dynamic work environment Has excellent oral and written communication skills Creativity in problem-solving with strong attention to detail LOCATION: Singapore* *This role will be based in our Singapore office, offering an exciting opportunity to work in one of Asia’s most dynamic business hubs. We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing. Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer. #LI-Onsite
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October 20, 2025
Computer Vision Engineer (VIO)
Harmattan AI
51-100
-
France
Full-time
Remote
false
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 contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack.ResponsibilitiesVIO Front-end Algorithm development:Matching between frames and stereo pairsCalibration of cameras intrinsic and extrinsic parametersDetection of obstructionImplementation and optimization of the algorithmic stack for our embedded platformsTesting, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools..Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders.Candidate RequirementsEducational Background: Master’s degree in Robotics, Physics, Computer Science or related field, PhD is a plusTechnical Expertise: Strong mathematical foundations, coding skills in both Python and C++Hands-on VIO project experience. Experience with VIO on industrial products is a huge plus.Passion for Computer Vision and RoboticsStrong Communication & Teamwork: Ability to collaborate effectively with diverse teamsCommitment: 100% dedication to Harmattan’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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October 16, 2025
Computer Vision Engineer (Object Detection & Tracking)
Zeromark
11-50
-
United States
Full-time
Remote
false
About Us: ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel.Our forte lies in a unique counter-drone solution, manifested through an AI-enabled auto-aiming system. By adapting commercial firearms with our convergence of computer vision and precision robotics, we transform handheld weapons into potent tools for automatically detecting, tracking, and neutralizing drones effortlessly.We recognize that prevailing C-UAS strategies often leave dismounted personnel inadequately prepared to confront the swiftly advancing drone menaces. Our solution ensures that military and law enforcement entities are empowered with proficient drone deterrence and denial capabilities, integrated into the weaponry they already possess and will continue to carry. This approach sidesteps the impractical reliance on multi-million dollar assets to counter a $200 drone threat, presenting a pragmatic and cost-effective defense solution.Job Description: We are seeking an experienced and highly motivated Principal Computer Vision Engineer to join our team. This role is focused on developing and optimizing advanced computer vision algorithms for aerial object detection and tracking. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, with experience in the defense sector.Key Responsibilities:Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.Conduct research and stay up-to-date with the latest advancements in computer vision and machine learning to ensure our solutions remain at the forefront of technology.Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.Analyze and interpret complex data sets to improve detection and tracking accuracy.Help ensure compliance with industry standards and regulatory requirements in all developed solutions.Qualifications:Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.Minimum of 3 years of experience in computer vision and objection detection.Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.Proven experience in developing and deploying machine learning and deep learning models in real-world applications.In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.Excellent problem-solving skills, with the ability to think critically and innovate.Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.Ability to work effectively in a team-oriented, collaborative environment.Preferred Qualifications:Experience with drone technology and UAV systems.Knowledge of radar, LIDAR, and other sensing technologies.Familiarity with cloud computing platforms and edge computing.What We Offer:Competitive salary, equity, and benefits package.Opportunity to work on cutting-edge technology with a significant impact on national security.A collaborative work environment that values innovation.Professional development opportunities and career growth.
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September 23, 2025
Senior Machine Learning Engineer, Computer Vision
Metropolis
1001-5000
USD
0
150000
-
200000
United States
Full-time
Remote
false
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
We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments. This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence.
Responsibilities Design and implement algorithms for multi-camera object detection, classification, and persistent tracking. Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams. Develop cross-camera fusion and localization methods for consistent identification and positioning of objects. Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching. Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues. Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness. Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment. Investigate system-level issues, drive debugging efforts, and improve model and system performance. Mentor junior engineers and contribute to long-term vision for perception, localization, and image retrieval.
Qualifications M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field. 5+ years of industry experience in computer vision, image retrieval, or perception systems. Strong background in object detection, tracking, and scene understanding using multi-camera inputs. Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools. Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV. Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization. Knowledge of multi-view geometry, and cross-camera identity association. Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals. Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication). Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm). Publications or patents in the fields of visual search, localization, or multi-camera perception. 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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August 7, 2025
Senior Machine Learning Engineer, Computer Vision
Metropolis
1001-5000
USD
0
150000
-
200000
United States
Full-time
Remote
false
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
We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments. This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence.
Responsibilities Design and implement algorithms for multi-camera object detection, classification, and persistent tracking. Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams. Develop cross-camera fusion and localization methods for consistent identification and positioning of objects. Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching. Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues. Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness. Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment. Investigate system-level issues, drive debugging efforts, and improve model and system performance. Mentor junior engineers and contribute to long-term vision for perception, localization, and image retrieval.
Qualifications M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field. 5+ years of industry experience in computer vision, image retrieval, or perception systems. Strong background in object detection, tracking, and scene understanding using multi-camera inputs. Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools. Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV. Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization. Knowledge of multi-view geometry, and cross-camera identity association. Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals. Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication). Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm). Publications or patents in the fields of visual search, localization, or multi-camera perception. 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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August 7, 2025
Senior Computer Vision Test Engineer
Metropolis
1001-5000
USD
0
150000
-
180000
United States
Full-time
Remote
false
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 We are seeking a Senior Computer Vision Test Engineer with a passion for quality, automation, and real-world impact. In this role, you will be responsible for designing, developing, and executing robust test strategies for cutting-edge perception systems. At Metropolis, we build complex, distributed computer vision systems that span a wide range of platforms, from cameras and embedded edge devices to large-scale cloud infrastructures. These systems power, critical, real-time decisions across parking and new verticals. As a Senior Test Engineer, you will play a pivotal role in verifying that each component in this ecosystem functions correctly in isolation and as part of an integrated system. You’ll collaborate closely with engineers across software, hardware, and machine learning teams to define test coverage, develop test harnesses, and identify edge cases that impact performance in production. You will also help shape and improve our continuous integration pipelines and automated validation frameworks to support fast iteration and robust releases. Responsibilities Design and implement test plans, test cases, and test automation frameworks for computer vision and machine learning pipelines. Validate the end-to-end performance of CV applications such as object detection, classification, and tracking under diverse scenarios and edge cases. Analyze system-level behavior and KPIs (latency, accuracy, robustness) using metrics-driven methodologies. Develop tools for test data generation, synthetic validation, and visualization of perception outputs. Collaborate with software, ML, hardware, and QA teams to ensure end-to-end system validation and release readiness. Investigate, root-cause, and document bugs and issues across the perception stack. Drive continuous improvement in test coverage, test automation, and system reliability.
Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. 5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision (CV), perception, or machine learning systems in production. Proficiency in Python and C++ for test automation and strong experience with unit testing frameworks like GTest or PyTest. Experience designing and implementing end-to-end test strategies for distributed systems, including using version control like Git and CI/CD pipelines like Jenkins or GitHub Actions. Solid understanding of computer vision concepts such as detection, tracking, segmentation, and 2D/3D geometry. Demonstrated experience testing perception or computer vision systems in real-world or hardware-in-the-loop (HIL) environments. Familiarity with common ML frameworks like PyTorch and TensorFlow, and CV libraries like OpenCV. Strong debugging, profiling, and log analysis skills, especially in embedded or real-world deployment environments. Experience with containerization tools like Docker and simulation platforms such as CARLA or NVIDIA Drive Sim. Excellent communication skills with a strong ownership mindset and the ability to work independently. 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 $180,000.00 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-NM1 #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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August 7, 2025
Staff State Estimation Engineer
Haydenai
101-200
USD
0
221000
-
260000
United States
Full-time
Remote
true
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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July 15, 2025
Computer Vision Engineer
Harmattan AI
51-100
-
Switzerland
Full-time
Remote
false
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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June 30, 2025
Computer Vision Engineer - MLOps
Sunrise
11-50
-
No items found.
Full-time
Remote
true
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.
Computer Vision Engineer
Software Engineering
MLOps / DevOps Engineer
Data Science & Analytics
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June 17, 2025
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