Top Tech Jobs & Startup Jobs in Seattle, WA

Build large-scale video services and rebuild media processing and distribution pipelines using high-performance languages. Ensure exceptional media quality, performance, and reliability across video playback, live streaming, audio/video calls, and other products. Work with distributed systems and media technologies such as WebRTC, LL-HLS, and video transcoding while optimizing end-to-end performance at scale.

Design, build, and optimize massive GPU clusters and low-level CUDA kernels for AI training and inference. Work on Linux kernel internals, virtualization (KVM, Firecracker), custom orchestration, profiling, and infrastructure-as-code to maximize performance and scalability for production AI workloads.

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.

Develop and maintain a high-reliability Linux-based OS for a supercomputer network. Write and optimize high-performance device drivers, manage production deployment and debugging, improve observability and configuration tools, and collaborate on hardware bring-up and design with hardware teams and partners.

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.