Top Engineering Jobs in Los Angeles, CA

Design and develop electronic systems for consumer products, leading technical design reviews, debugging hardware, and collaborating with cross-functional teams.

The Electrical Engineer for Spectacles will design PCB schematics, oversee component selection, lead technical reviews, and collaborate with cross-functional teams to develop AR glasses.

Design high-density PCBs for Snap Inc.'s Spectacles, collaborating with engineering teams on complex PCB layouts from prototype to production using Allegro PCB Designer.

Design, develop, and support reusable components, interactions, frameworks and SDKs for Spectacles AR glasses and SnapOS. Contribute to OS components, participate in code and design reviews, and collaborate with design, engineering, and product teams to launch performant, test-covered features.

The Principal Software Engineer will design and implement systems for the advertiser experiences at Snap, lead technical vision, mentor engineers, and innovate on creator marketplace products.

Design and build next-generation ads formats, backend infrastructure, and scalable distributed systems. Lead technical direction, collaborate across teams to define product requirements, experiment, analyze and optimize ad performance, and ensure availability, scalability, operational excellence, and cost management. Mentor engineers and apply AI tools and high-velocity workflows to deliver production-ready systems.

Design, implement, and operate scalable ads delivery backend services. Own serving-time systems, collaborate with Product/ML/Infra, ensure availability and efficiency, use observability and automation, and apply AI-assisted workflows to ship production-quality code and optimize platform architecture.

The Principal Software Engineer will design automated ad serving systems, lead technical direction, collaborate with teams, and mentor engineers.

Lead a team building platforms, policy systems, automation, and validation to scale privacy across product and infrastructure. Design AI-assisted review, machine-readable policy, governance and enforcement mechanisms, and privacy validation loops. Partner with product, security, legal, and compliance to guide data use, retention, deletion, and AI/ML privacy tradeoffs. Coach engineers, raise technical quality, and enable product innovation within privacy boundaries including ads privacy and opt-out enforcement.