Top Tech Jobs & Startup Jobs in Los Angeles, CA

Responsible for the architecture, design, development, and integration of ISR software systems, leading teams and projects with technical leadership.

Lead and execute growth strategy for Spectrum Dominance software franchises, owning bookings and pipeline. Win initial contracts, expand within customers (land-and-expand), commercialize mission-proven software as repeatable COTS/SaaS products, manage capture lifecycle (RFIs/RFPs), track market and competition, report pipeline to executives, and engage DoD, Intelligence Community, and allied customers. Drive cross-functional commercialization and product-first growth culture.

The Manager, IT Operations & Delivery oversees IT operations, including service desk management, device lifecycle management, and IT support, ensuring scalability and efficiency for Voyager's growth.

As a Software Engineer, you'll design and develop software systems for processing and managing geospatial data, with a focus on SAR imagery, collaborating with multidisciplinary teams to support U.S. government capabilities.

The Senior Software Engineer will architect and develop software systems for processing geospatial data, specifically Synthetic Aperture Radar imagery, ensuring scalable and efficient workflows.

The Electrical Engineer will design, develop, and test complex electronic hardware systems, focusing on high-speed PCB design and integration. Responsibilities include creating schematics, performing simulations, and validating designs while supporting system integration and testing processes.

As a Senior Technical Director, you will lead RF systems and EW programs, overseeing R&D execution, system architecture, productization, and team mentorship.

Design and implement high-throughput, GPU-accelerated edge computing systems using Modern C++ and GPU frameworks. Optimize custom GPU kernels, profile CPU/GPU pipelines, abstract hardware peripherals for diverse radio/sensor platforms, and manage embedded Linux build/deploy and containerized accelerator exposure. Lead engineering teams through full product lifecycle and present to government stakeholders.

Manage and secure enterprise IT infrastructure including Microsoft 365/Azure, Intune endpoint management, Okta identity, Windows/Linux servers, virtualization, Fortinet networking, Active Directory, scripting for automation, documentation, and on-call support.

The Machine Learning Engineer will develop advanced Deep Learning technologies for Computer Vision and SAR, focusing on object detection and model generalization. Responsibilities include researching algorithms, applying signal pre-processing, and optimizing model performance.