Top Software Engineer Jobs in Los Angeles, CA

Design and implement low-latency, reusable data pipelines and real-time systems that produce tracking and pose data for AI-driven sports insights. Integrate computer-vision and event-detection algorithms, build performant cloud and on-premise services, create developer tools and frameworks, mentor teammates, and ensure scalable, autonomous systems with minimal manual intervention.

The Solutions Engineer collaborates with Sales and Partnerships, integrating Square's platform with sellers, providing technical guidance, and offering white-glove support for strategic clients.

The AR Engineer will advance user-facing software for Spectacles by designing 3D interactions, optimizing performance, and collaborating across teams.

The Data Engineer III will design, implement, and optimize data services, ensuring they meet business needs and drive automation and best practices across Crunchyroll's data environments.

Lead the technical vision and architecture of simulation software for spacecraft, focusing on multi-physics modeling and real-time execution, while driving engineering standards and mentoring teams.

The Staff/Sr. Staff Software Engineer will build the GTM AI Brain from scratch, overseeing technical architecture and integrating various systems to enhance revenue operations.

Design, build, and maintain blockchain and payments infrastructure; develop scalable microservices and secure RESTful APIs to transfer value across blockchain and banking protocols; integrate with banks and fintech; own system design, testing, deployment, and troubleshooting; ensure reliability, code quality, and strong test coverage while collaborating with product and engineering teams.

The role involves being an expert in Powder Bed Fusion processes for creating reusable rocket components, leading material qualifications, and improving manufacturing processes while collaborating with cross-functional teams.

The Staff Software Engineer will lead initiatives in Network Expansion, managing cross-team projects, influencing technical direction, and driving real-world outcomes. This role requires strong collaboration with product and design teams, and the ability to adapt to high-ambiguity situations, focusing on customer-centric applications.

Work with engineering to build APIs, backend services, and distributed event-driven applications supporting analytics and ML. Help design, build, and operate cloud-based systems, data pipelines, and scalable platform capabilities while collaborating with data teams.