Computer Vision Researcher Advanced

Posted Yesterday
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Hiring Remotely in Serbia
Remote
Senior level
Information Technology • Logistics • Software
The Role
Leads the development of computer vision algorithms from prototypes into production-ready software. Designs and optimizes algorithms for embedded systems, GPUs, DSPs, ARM CPUs, and mobile devices. Provides technical leadership, architects software modules, develops automated tests, troubleshoots issues, estimates project scope and risk, collaborates across engineering teams, and supports customer and management communications. Requires advanced expertise in computer vision, machine learning, GPU programming, parallelized computation, signal processing, and C/C++.
Summary Generated by Built In

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:

The advanced computer vision software developer will work on Computer Vision projects leading the
turning of our core algorithms from prototypes to high quality product ready code. The developer will
architect, design and implement strategies for optimizing computer vision algorithms for different
hardware architectures (e.g. x86, GPU, multi-core ARM CPU, DSP) based on performance, power and
size constraints.Essential Duties and Responsibilities:

 Lead development of turning prototyped computer vision algorithms into high quality product

ready code

 Design and provide strategies for optimizing computer vision algorithms for different embedded

system and mobile devices

 Serve in a leadership capacity for carrying out software development in C, C++ or other selected

languages.

 Use status as a knowledge leader in software design and functional knowledge to provide

technical leadership to a given program

 Define requirements for and may design complex new tools to aid in the analysis and solving of

complex problems.

 Estimate scope, duration, effort and risk on project proposals.

 Initiate cross-company collaboration and develop positive relationships with other engineering

disciplines

 Design and/or review architected modules and software systems supporting new technology or

improving capability/performance of existing functionality

 Take responsibility for communicating with different engineers (embedded systems, backend

server, computer vision) to continuously improve and optimize implemented algorithms

 Create automated software tests and provide support to trouble shoot software issues when

needed

 Network with key contacts outside own area of expertise. Interact with management and senior

customer personnel on matters requiring coordination across organizational lines. Represent

the organization as the principal customer contact and often perform project leadership

 Documentation of software architecture


Job Requirements

 Masters in Computer Engineering/Computer Science (preferably with specialization in computer

vision and machine learning); alternatively a comparable industry career, with significant

experience in delivering products using state-of-the-art computer vision and/or machine

learning systems

 Preferred work experience (years): 8+

 Broad understanding of computer vision; key areas of interest include object detection, tracking

and recognition, multiple view geometry, OCR detection, camera calibrations, 3D data

processing, SfM/SLAM, activity recognition

 Significant latitude used in determining objectives of assignment.

 Optimization experience on embedded GPU and DSP platforms: Nvidia, ARM.

 Parallelized & vectorized computation.

 Solid GPU programming experience using CUDA or Open CL

 Excellent C, C++11 and above programming skills.

 Experience in signal processing algorithms and implementation.

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 15% 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 degree in Computer Engineering or Computer Science, preferably specializing in computer vision and machine learning, or comparable industry experience
  • 8+ years of relevant work experience
  • Broad understanding of computer vision, including object detection, tracking, recognition, multiple-view geometry, OCR, camera calibration, 3D data processing, SfM/SLAM, and activity recognition
  • Experience optimizing algorithms on embedded GPU and DSP platforms, including NVIDIA and ARM
  • Experience with parallelized and vectorized computation
  • Solid GPU programming experience with CUDA or OpenCL
  • Excellent C and C++11 or later programming skills
  • Experience implementing signal-processing algorithms

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Lincolnshire, IL
8,760 Employees
Year Founded: 1969

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.

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