Join an international, cross-functional team to build AI-driven solutions for background screening, splitting time between delivering new products and supporting production ML workloads.
Responsibilities
Work within a Scrum team on new products and initiatives, from design through delivery.
Provide dedicated support for existing production AI/ML workloads, ensuring reliability, performance, and continuity.
Build secure, well-optimized solutions using modern AI tooling.
Develop and productionize ML models, and design end-to-end testing strategies to hold delivered solutions to a high quality bar.
Deliver API integrations and data pipelines, optimizing for latency, throughput, and cost.
Lead the resolution of complex cloud infrastructure issues, enhance automation and scripting efforts, and develop and enforce best practices for cloud architecture and security.
Compensation
Pay Range: $108,960.00 - $163,440.00 Annual
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 12% of base pay, in accordance with the terms of the applicable incentive plan.
Responsibilities
Lead resolution of complex cloud infrastructure issues
Enhance automation and scripting efforts
Create and maintain design and architectural artifacts
Ensure uniform architecture and design standards
Monitor and facilitate a secure cloud environment
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Design, develop, deploy, and enhance AI-powered agents and automation solutions for the University of Washington’s campuses and global research operations.
Compensation
Pay Range Minimum: $87,624.00 annual
Pay Range Maximum: $142,392.00 annual
Responsibilities
Design and develop AI agents to improve performance and user outcomes
Architect and implement advanced RAG pipelines and embedding strategies
Automate repetitive administrative processes across departments
Integrate AI agents with enterprise systems via APIs and connectors
Build AI tools for researchers, including literature review and data analysis
Requirements
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field
Nice to have: Experience in higher education or research institutions
Nice to have: nebulaONE or similar orchestration platforms
The HPC Systems Engineer is responsible for supporting the HPC efforts for the research computing group and related research computing technologies, managing large IT systems for research using automated and software-defined approaches.
Compensation
Pay Range Minimum: $97,080.00 annual Pay Range Maximum: $157,764.00 annual
Responsibilities
Design, develop, adapt, integrate, manage, optimize, or deploy monitoring for new or existing systems, software, or automation.
Perform system management functions such as account administration, service administration, software installation and configuration, firmware updates, backing up and restoring data.
Monitor HPC and related systems health and performance, and troubleshoot and resolve issues that impact performance, health, or reliability.
Monitor support ticket and alerting queue; triage, respond to, and resolve tickets and on-call pages as appropriate.
Research and evaluate new and future technologies. Plan and architect new systems and the evolution and lifecycle of existing systems and clusters.
Computer Vision Engineer responsible for building robust SDKs, automating deployment pipelines, and ensuring models run efficiently across diverse hardware.
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 12% of base pay, in accordance with the terms of the applicable incentive plan.
Responsibilities
SDK Development (C++)
Design, develop, and maintain high-performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products.
Model Deployment and Integration
Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs.
Performance Optimization
Requirements
Bachelor's or master's degree in Computer Science, Electrotonic Engineering, or related technical field.
Nice to have: Deep Learning fundamentals (CNNs, Transformers, Object Detection)
Nice to have: model conversion and quantization (PTQ, QAT)
Design and deliver AWS-based integration architectures for Vantive’s clinical, operational, and commercial systems.
Compensation
The estimated base salary for this position is $124,000 to $170,000 annually. The estimated range is meant to reflect an anticipated salary range for the position. This position may also be eligible for discretionary bonuses.
Responsibilities
Design and implement AWS-based architectures for integration workloads connecting clinical, supply chain, and enterprise systems
Develop integration patterns including API design, event-driven messaging, and data synchronization across Vantive's application landscape
Contribute to architectural standards, design patterns, and technical documentation
Collaborate with senior architects to translate business and clinical requirements into technical solutions
Evaluate and recommend appropriate AWS services for specific use cases
Requirements
Bachelor’s degree in computer science, Engineering, or related field (or equivalent practical experience)