Top Tech Jobs & Startup Jobs

Design and ship consumer products across platforms while collaborating with engineering and research to create user-friendly experiences. Prototype using traditional and AI tools, focusing on user needs and emerging behaviors.

Design and optimize large-scale, low-latency model serving systems end-to-end. Implement distributed infrastructure (batching, caching, load balancing, autoscaling), accelerate GPU inference (kernels, quantization, codegen), build reliable high-concurrency serving, and create tooling and CI/CD for deployment and benchmarking.

Build and scale X by owning end-to-end features: backend services, APIs, data models, microservices, and full-stack user experiences. Collaborate with mobile and web engineers, design scalable low-latency infrastructure for payments, growth, and analytics, and maintain reliability, testing, monitoring, and secure data handling.

As a Technical Recruiter, you will actively source, assess, and close technical talent while improving recruiting processes and ensuring excellent candidate experiences.

The Gas Pipeline Engineer will design, develop, and maintain natural gas pipeline systems to support power generation infrastructure, ensuring safety and compliance.

The Permitting Specialist will manage regulatory approvals and permits for data center construction, ensuring compliance with Texas regulations while collaborating with various teams.

The Recruiting Coordinator will manage candidate logistics, schedule interviews, ensure data integrity in the system, and maintain exceptional stakeholder relationships.

Design and optimize mechanical systems for AI data centers, performing analysis and collaborating on systems integration and improvements.

Seeking a Permitting Specialist with expertise in power generation permitting in Texas to lead regulatory approvals for gas power facilities, manage permits, and coordinate with agencies.

Design, implement, and operate core networking software for a large-scale GPU datacenter fabric. Develop routing and traffic-engineering algorithms, real-time switch software, prototypes and experiments, deployment and CI tooling, monitoring, and testing to maximize performance and reliability of AI training infrastructure.