Overview:
At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.
Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.
You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.
Come make an impact every day at Zebra.
What We're Looking For:
We are looking for an AI Research Scientist specialising in SLAM, Visual-Inertial Odometry (VIO), and 3D Spatial Perception to join our central CTO Group. In this horizontal, high-impact organisation, you will collaborate with cross-functional business units across the globe and work closely with our London-based research hub of ~15 AI specialists.
In this role, you will be bridging the gap between innovation and on-device execution -prototyping new algorithms, training spatial models, and optimising them to run directly on resource-constrained mobile edge devices to power next-generation Augmented Reality (AR), enterprise vision, and edge intelligence.
You will be based at our central London office (Endeavour House, Shaftesbury Avenue, WC2H 8JR) on a flexible hybrid model - collaborating in person 3 days a week, with 2 days working from home.
Responsibilities:
- Research, design, and implement robust Visual-Inertial Odometry (VIO), 6-DoF camera pose estimation, and monocular SLAM pipelines tailored for resource-constrained edge hardware.
- Develop advanced algorithms for spatial localisation, multi-view ray triangulation, sensor fusion (IMU + Camera), and plane-fitting (e.g., RANSAC, PnP) to achieve sub-centimetre overlay accuracy and eliminate tracking drift.
- Translate research papers into real-time algorithms, optimising neural networks and spatial pipelines for low-latency execution on mobile NPUs, DSPs, and GPUs.
- Build spatial foundations that deliver seamless on-device AR experiences, barcode/shelf product recognition, OCR, and multi-modal edge AI capabilities without relying on cloud connectivity.
- Partner with global hardware, software, and product engineering teams to integrate your models into commercial product roadmaps.
Qualifications:
- Master’s or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a specialised focus on Computer Vision, Spatial AI, or Robotics.
- At least 2 years of hands-on experience in research and development of SLAM / Spatial tracking systems.
- Deep theoretical understanding and hands-on implementation of SLAM (Simultaneous Localisation and Mapping) and VIO (Visual-Inertial Odometry).
- Strong foundation in 6-DoF pose tracking, sensor fusion (IMU + Vision), and camera calibration (intrinsic/extrinsic parameters).
- 3D geometric computer vision: ray-plane intersections, epipolar geometry, bundle adjustment, and monocular depth estimation.
- High proficiency in C++ and/or Python, along with standard ML and Computer Vision frameworks (e.g., PyTorch, OpenCV, ROS/GTSAM/Ceres Solver).
Benefits:
- 25 days of vacation
- Up to 32 hours paid time off per year to volunteer with a charity of your choice
- Reward & Recognition scheme - earn points to spend online
- Training and personal development in soft skills and hard skills, access to our internal learning portal and internal career opportunities within Zebra departments
- Annual bonuses based on financial results
- Yearly salary increases according to individual performance
- Employee referral bonus for bringing New Talent to Zebra
- Pension Scheme with a matched contribution up to 7%
- Private medical and dental cover
- Access to an innovative online learning platform
- Cycle to work scheme
- Employee Assistance Program
Incentive Compensation:
In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan.Job Posting Statement:
To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.
AI Technology Statement:
Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.
Skills Required
- Master's or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field
- Specialized focus on Computer Vision, Spatial AI, or Robotics
- At least 2 years of hands-on experience in SLAM or spatial tracking systems research and development
- Deep theoretical understanding and hands-on implementation of SLAM and VIO
- Strong foundation in 6-DoF pose tracking, IMU and vision sensor fusion, and camera calibration
- Knowledge of 3D geometric computer vision, including ray-plane intersections, epipolar geometry, bundle adjustment, and monocular depth estimation
- High proficiency in C++ and/or Python
- Experience with standard machine learning and computer vision frameworks such as PyTorch, OpenCV, ROS, GTSAM, or Ceres Solver
Zebra Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zebra Technologies and has not been reviewed or approved by Zebra Technologies.
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Strong & Reliable Incentives — Incentive programs include an annual cash bonus plan for regular employees and robust commission structures in sales, forming a meaningful part of total compensation. These incentives are consistently available and valued in corporate, administrative, and sales roles.
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Healthcare Strength — Core medical, dental, and vision coverage is comprehensive, complemented by company-paid life and disability insurance, telemedicine access, and an EAP. Coverage quality is generally regarded as strong across official materials and documented program summaries.
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Leave & Time Off Breadth — Time-off offerings include robust PTO, paid holidays, a company-wide zDay, volunteer time off, and meeting-light or flexible Friday programs. Paid parental leave and community service days further expand leave options, with availability outlined on company benefits pages.
Zebra Technologies Insights
What We Do
Zebra empowers those on the front line in retail, health care, transportation and logistics, manufacturing and other industries to achieve a performance edge -- an edge that translates to delighted customers, good patient outcomes and superior business results. As the pioneer at the edge of the enterprise, our products, software, services, analytics and solutions are used to intelligently connect your people, assets and data. With decades of industry experience, we design with front-line users and workplaces in mind, providing the best-action guidance needed to optimize in-motion operations and make business-critical decisions. With over 10,000 partners across 100 countries, we are committed to delivering industry-tailored solutions that help our customers capture their edge.
