Top Tech Jobs & Startup Jobs

Design and ship high-performance, pixel-perfect iOS experiences using Swift, SwiftUI/UISKit and Combine; optimize memory/CPU/GPU; integrate high-throughput APIs or model outputs; own features end-to-end through App Store deployment; collaborate with AI researchers to deliver scalable mobile AI products.

Design and implement high-quality Android features using Kotlin and Jetpack Compose. Architect large-scale production apps, optimize performance, stability, and reliability, and collaborate cross-functionally to deliver delightful user experiences while owning large product areas.

You will work on critical product challenges and contribute directly to xAI's mission, thriving in a meritocratic and hands-on environment.

Design and implement large-scale distributed systems for a supercomputing cluster, optimize low-level performance across GPUs, kernel, networking, and filesystems, collaborate on hardware-software co-design, maintain scalable reliable codebase, and build productivity tools.

The Document Control Specialist will manage technical documentation for engineering and construction projects, ensuring accuracy and compliance, while improving document control systems and workflows.

Seeking an exceptional Android engineer to develop an AI application. Responsibilities include designing UIs, optimizing performance, and integrating APIs for seamless user experiences.

The Recruiting Coordinator will manage interview logistics, maintain ATS data, support candidate communication, and assist recruiters in the recruitment process.

Lead implementation of ETL patterns and reliable data infrastructure, partner with business and engineering teams to prioritize and deliver integrations, APIs, and reusable components, and support operational data applications in an Agile environment.

Design and run human data and evaluation projects to supply high-quality training signals for models. Partner with model and engineering teams, maintain data integrity, optimize annotation workflows, measure data impact using agents and tools, and scale processes across stakeholders.

Build and maintain scalable end-to-end data pipelines and infrastructure, enabling high-volume processing and reliable analytics. Develop quantitative models, run A/B tests and causal analyses, collaborate with product and operations to translate requirements into production-grade systems, implement monitoring/automation for real-time decision support, and mentor peers on data engineering and analytical best practices.