Top Systems Engineer Jobs in Seattle, WA

The role involves collaborating with cloud providers, designing and validating server SKUs, and automating deployment processes to optimize performance for cloud environments.

The role involves collaborating with hyperscaler cloud providers, designing and validating hardware configurations, automating deployments, and troubleshooting system performance issues.

The role involves building automation tools for deployment, scaling services, integrating AI, and managing infrastructure with various technologies.

The Senior Business Systems Engineer will manage the Order-to-Cash ecosystem, focusing on NetSuite, to ensure financial transaction accuracy and compliance, while automating processes and collaborating with finance teams.

Lead the implementation of CoreWeave's PLM/PDM solutions, focusing on architecture, data migration, integrations, and hardware lifecycle management to optimize operations.

The role involves designing and developing data solutions, managing data infrastructure, and leading teams while applying advanced AI techniques and cloud technologies.

The role involves designing data architecture strategies, mentoring team members, maintaining data integrity, and translating data requirements into technical solutions.

As a Systems Kernel Engineer, you'll debug kernel issues, analyze crashes, and develop kernel patches to enhance performance and reliability across CoreWeave's infrastructure.

This role involves building and supporting a scalable ML data processing platform, overseeing technical projects, and mentoring team members.

Lead and mentor a data engineering team to design and implement data architecture strategies using advanced technologies, while ensuring quality and performance for client solutions.

As a Lead NetSuite Developer, you will maintain and enhance the ERP platform, focusing on development, configuration, integrations, and ensuring data accuracy.

The IT Systems Engineer optimizes internal infrastructure for a remote workforce, ensuring security, compliance, and operational efficiency through strategic IT initiatives.

Design and optimize large-scale GPU compute clusters, troubleshoot performance bottlenecks, and automate system deployment across many nodes, collaborating with various teams.

Lead and optimize Direct Procurement and MRP processes, partnering with Planning and Sourcing teams to enhance inventory workflows and automation.

As the GTM Systems Engineer, you'll optimize Salesforce and integrate GTM tools, enhancing sales productivity and analytics. Collaborate with various stakeholders to automate workflows and improve data flow across systems.

Lead high-impact initiatives for a product platform, architecting security systems, mentoring engineers, and optimizing distributed infrastructures across teams.

Assist with various aspects of applied electronics and electrical engineering, including avionics hardware, software, instrumentation, and systems engineering. Responsibilities include designing, implementing, and maintaining systems infrastructure, performing root cause analysis, and collaborating to improve processes.

The Intern Fluid Systems Engineer I will design, analyze, and test fluid systems or mechanically functioning equipment, support hardware development, and troubleshoot issues. Candidates are expected to work on rapid development programs while supporting Blue Origin's mission.

The Intern Systems Engineer I will assist in developing space systems, conducting analyses, and improving processes. Responsibilities include system design and testing, integration, and root cause analysis.

The Satellite Lead Systems Engineer will architect and guide the development of next-generation satellite platforms, focusing on system requirements design, integration, and validation across multiple teams, while mentoring junior engineers.

The Big Data Systems Engineer will deploy and integrate the CHEETAS system in DoD environments, collaborate with technical teams, and resolve deployment issues.

The Senior Information Systems Engineer will manage IT infrastructure, ensuring security and reliability in AWS and Linux environments, mentor junior engineers, and implement best practices.

The role involves developing and optimizing tokenization systems for machine learning, collaborating with research teams, and improving model training efficiency.

The role involves building and improving systems for training AI models, focusing on algorithms and infrastructure for reinforcement learning. Responsibilities include enhancing performance, reliability, and usability of systems to support research.

Lead the design and integration of quantum-classical systems, collaborate on technical requirements, and drive innovations for fault-tolerant quantum computing.