Familiarity with parallel computing architectures, distributed training infrastructures, and low-level acceleration concepts (e.g., CUDA, or OpenCL).Lead customer-facing technical discovery and feasibility assessments to evaluate customer requirements, validate hardware constraints, and de-risk pilots before deployment.
Build and deliver lightweight POCs leveraging existing edge frameworks to validate technical assumptions regarding model sizing, latency trade-offs, and hardware sizing.
Architect end-to-end edge AI solutions spanning edge hardware (NVIDIA Jetson AGX Orin/Orin Nano), LLM serving frameworks (Ollama, vLLM, TensorRT-LLM), and computer vision pipelines (object detection, OCR, multi-modal AI).
Design and develop high-performance, robust, and scalable software tools, SDKs, and APIs that streamline the training, deployment, and optimization of deep learning models.
Define robust system architectures across streaming vs. batch dataflows, concurrent capacity planning, networking/security fundamentals, and mobile integrations.
Bachelors Degree or Advanced Degree in Computer Science, Software Engineering, or a related engineering discipline
10+ years of relevant experience with a Bachelors Degree or 7+ years of experience with an Advanced Degree
Equivalency: Equivalent work experience will be considered in lieu of a degree
Key Skills and Competencies
Deep understanding of modern machine learning workflows, deep learning frameworks, hyper parameter optimization, and developer tools.
Familiarity with parallel computing architectures, distributed training infrastructures, and low-level acceleration concepts (e.g., CUDA, or OpenCL).Lead customer-facing technical discovery and feasibility assessments to evaluate customer requirements, validate hardware constraints, and de-risk pilots before deployment.
Build and deliver lightweight POCs leveraging existing edge frameworks to validate technical assumptions regarding model sizing, latency trade-offs, and hardware sizing.
Architect end-to-end edge AI solutions spanning edge hardware (NVIDIA Jetson AGX Orin/Orin Nano), LLM serving frameworks (Ollama, vLLM, TensorRT-LLM), and computer vision pipelines (object detection, OCR, multi-modal AI).
Design and develop high-performance, robust, and scalable software tools, SDKs, and APIs that streamline the training, deployment, and optimization of deep learning models.
Define robust system architectures across streaming vs. batch dataflows, concurrent capacity planning, networking/security fundamentals, and mobile integrations.
Serve as the technical bridge aligning Sales, Product, and Engineering teams to ensure accurate scoping and prevent costly engineering rework.
Benefits
We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.
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.
