Software Engineer Jobs in Berkeley, CA

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Optimize and integrate LLMs across the stack from GPU kernels to Kubernetes deployments. Improve inference performance via kernel development, algorithmic techniques (quantization, speculative decoding), and contributions to open-source LLM engines like vLLM. Drive hardware utilization, profiling, and enterprise-grade scalable implementations.

Design, build, and secure scalable distributed backend systems for AI workloads. Implement microservice-based architectures, manage Kubernetes-based deployments, apply IaC and DevOps practices, and collaborate with performance and solutions engineering to optimize model deployment and infrastructure cost, security, and scalability.

Build and own fullstack features across UI, backend APIs, and orchestration interfaces for a global GPU inference platform. Implement real-time streaming, analytics, deployment workflows, developer SDKs/CLI, and observability integrations while collaborating with founders and infrastructure teams to turn distributed systems into user-friendly products.

As a Senior Embedded Software Engineer, you will lead the development and architecture of software solutions for satellite communication systems, focusing on optimization and mentoring teams while adhering to encryption and security standards.

As a Staff Software Engineer at Arc, you will lead the design and development of a new AI-native banking platform, focusing on reliability and scalable systems for cash management and treasury solutions, while influencing product direction and mentoring team members.