Top Software Engineer Jobs in Los Angeles, CA

Build scalable backend infrastructure and innovative advertising formats for Snap’s performance advertising platform. Lead end-to-end experimentation, optimization, and delivery of ads products, while ensuring availability, scalability, operational excellence, and cost efficiency. Collaborate across teams to evaluate trade-offs, solve ambiguous problems, provide company-wide technical direction, and mentor engineers. The role requires extensive software development experience, technical leadership, and expertise operating highly available systems at scale.

Develop high-fidelity spacecraft simulation software in modern C++ and Python. Build multi-physics models covering spacecraft dynamics, thermal systems, attitude control, propulsion, power, sensors, and actuators. Implement solver architectures and time-stepping algorithms for real-time and faster-than-real-time simulation, maintain multi-language APIs, collaborate with engineering teams, and participate in code reviews and planning.

Build and scale Java backend services, recommendation infrastructure, and data-processing pipelines for Taboola’s performance advertising platform. Design reliable microservices, search and event-driven systems handling billions of events and terabytes of data. Own services end to end, including production monitoring, incident response, root-cause analysis, and continuous improvement. Collaborate with product and architecture teams, manage integration projects, mentor engineers, and use AI-assisted development tools.

Build and maintain frontend platform capabilities for a unified rocket-factory operator UI. Develop React and TypeScript modules, shared components, design-system integrations, and real-time telemetry interfaces. Migrate features from separate frontends, optimize live-data rendering performance, contribute to code reviews, and collaborate with senior engineers on architecture. The role supports industrial automation and launch operations software.

Develop and maintain low-latency backend components for a globally distributed advertising platform. Responsibilities include writing high-performance C++ or Rust code, designing systems, testing, reviewing code, supporting production services, troubleshooting performance issues, and collaborating across teams to deliver projects.

Design, implement, and maintain APIs, backend services, and front-end interfaces for mission planning and satellite/ground systems. Lead feature development across the full lifecycle in an Agile DevSecOps environment, emphasizing automation, testing, security, performance, and code quality. Support integration, CI/CD pipelines, and geospatial visualization for defense communications systems.

Defines and evolves software architectures for AR-based aerospace and mission systems. Leads architecture across embedded, real-time graphics, simulation, networking, cloud, edge, AI/ML, and aircraft integration. Establishes standards for secure, scalable, safety-critical software; supports DO-178 compliance, DevSecOps, CI/CD, containerization, and digital engineering. Collaborates with engineering, product, systems, and program teams on technical baselines, interfaces, verification, customer engagements, and proposals.

Architect, build, and optimize a full-stack platform using React.js, Node.js, GraphQL, REST APIs, and SQL databases. Lead technical decisions, performance optimization, observability, testing strategies, and cloud-based deployments. Mentor engineers, conduct design reviews, evaluate technologies, and drive initiatives across multiple teams while collaborating with product, QA, customers, and leadership.

Design and build full-stack web applications, backend APIs, data models, pipelines, developer tooling, and platforms for mission and flight software systems. Develop interfaces with flight software and simulations, support test automation and continuous deployment, and establish scalable engineering practices for a growing software organization.

The Senior Software Engineer will design and build scalable AI/ML backend systems, develop data pipelines, and collaborate with cross-functional teams to implement ML-driven features while ensuring system performance and documentation.