Top Tech Jobs & Startup Jobs in Los Angeles, CA

The role involves designing and executing tests for spacecraft propulsion and fluid systems, ensuring compliance with specifications, analyzing data, and leading test strategies.

Lead production engineering for spacecraft avionics: build scalable manufacturing processes, lead teams, ensure manufacturability from design through volume production, develop work instructions, support floor builds, drive quality and continuous improvement, and manage vendor and test-equipment strategies.

Design and develop tooling and MGSE for spacecraft, including assembly fixtures and handling systems, while providing mentorship to junior engineers.

Architect, build, and operate multi-cloud (AWS/Azure) network infrastructure across classified environments (IL-4/5/6+) supporting DoD/IC programs. Lead cloud network design, IAM, boundary protections, RMF/ATO support, STIG/SCA remediation, and compliance with NIST 800-53 and related NSS frameworks.

The Senior Manager of Infrastructure Engineering will lead the infrastructure team, design cloud environments, manage Kubernetes, and drive initiatives in classified and unclassified settings.

Design and develop spacecraft mechanical systems for satellites and on-orbit vehicles. Assist in structural analysis, prototyping, and integration tasks, ensuring designs meet performance and reliability standards.

The Systems Engineer III will develop and integrate aerospace systems, support requirements traceability, conduct analysis, and ensure mission readiness while collaborating with teams on complex space operations.

The Propulsion Engineer will design, analyze, and test propulsion systems for advanced spacecraft, collaborating with various teams to ensure reliability and performance, while also taking ownership of responsibilities and engaging in continuous improvement.

Build and maintain AI platform infrastructure, connectors, API integrations, and custom AI-powered applications. Implement authentication, data pipelines, and tooling to embed LLM capabilities across teams. Contribute code, documentation, reviews, and enablement while ensuring security and compliance for government requirements.

Build and lead an enterprise AI platform: design infrastructure, integrations, and custom AI applications. Own provider/tool selection, deploy production model pipelines and connectors, ensure compliance with government security requirements, mentor engineers, and deliver company-wide AI enablement and training.