Software Engineer Jobs in Santa Clara, CA

Design and implement highly reliable, high-performance algorithms and systems software for modern data platforms. Own end-to-end delivery from concept to production, diagnose and resolve complex technical issues, influence cross-functional system design, and mentor junior engineers. Drive adherence to performance, reliability (e.g., six 9s), schedules, and architectural vision while collaborating with product and engineering teams.

Lead validation of ML datacenter stacks from cluster to rack scale for CSPs: define test strategies, reproduce and triage customer bugs, validate fixes, run perf benchmarks, manage test data and tooling, produce release-readiness reports, and collaborate with internal and partner engineering teams.

The Staff Software Engineer will architect and maintain Datagrid Pages and Dataset Editor, focusing on UI design, efficient code, and mentorship while collaborating with teams to support Procore's AI strategy.

Design, develop, and maintain high-performance distributed storage software and protocols (file, block, object). Integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance and scalability, troubleshoot production data centers, collaborate with networking, compute, control plane and observability teams, and lead/mentor engineering teams.

Design, prototype, and deliver DPU-accelerated host networking and network services. Build and integrate platform components (host agents, DPUs, firewalls, policy, telemetry), implement network functions (firewall, NAT, load balancing, VTEP), define APIs and operational workflows, debug distributed control/data plane issues, and own features from design through production support while mentoring peers.

Lead design and implement AI-augmented methodologies and tooling to modernize legacy codebases into cloud-native architectures. Build multi-agent AI workflows for code analysis, logic extraction, and test synthesis. Establish Human-in-the-Loop verification, automated CI/CD and testing pipelines, and ensure secure, performant AI-generated code while collaborating cross-functionally.

Lead design, development, and implementation of high-quality payment applications. Collaborate with cross-functional teams to gather requirements, code, test, debug, and optimize large-scale distributed systems. Maintain and improve codebases, run peer reviews, and mentor junior developers. Contribute to CI/CD, cloud deployments, and ensure reliability and performance in a payments environment.