Software Engineer Jobs in Santa Clara, CA

Design, develop, and maintain scalable networking and security software for cloud-native deployments. Implement and debug features, optimize system performance, and collaborate with DevOps and QA to deliver high-quality products. Work on management, control, and dataplane components while ensuring cloud operation efficiency and meeting delivery schedules.

The SDET will lead automation practices, develop scalable frameworks, test APIs, integrate CI/CD, enforce quality gates, mentor teams, and improve automation metrics.

Design and build agentic workflows that automate code generation, testing, and tuning across NVIDIA frameworks and compilers. Partner with internal engineering teams to identify high-impact automation, iterate on proofs of concept, integrate agents into git-native CI pipelines, and enable closed-loop validation on real GPUs. Contribute to multi-agent orchestration, performance optimization, and reusable internal tooling to scale agentic engineering practices.

Design, build, and maintain control plane services for user management, configuration, and orchestration. Develop scalable microservices and RESTful APIs in C++ or Go. Implement authentication, authorization, and auditing; ensure reliability, observability, and high availability. Collaborate with frontend and QA for integrated releases.

Lead QA efforts for FortiADC by designing and executing manual and automated tests, building scalable network simulation frameworks, reproducing customer issues, performing root-cause analysis, and improving QA automation and test environments for networking and load-balancing features.

Design, develop, and maintain cloud-native, high-performance security data analytics platforms. Collaborate with engineers, QA, and DevOps to ensure scalability, reliability, and performance; participate in system design and research emerging technologies.

Design, develop, test, and maintain backend web applications and microservices. Collaborate with product and design teams to implement features, ensure system stability, debug issues, document processes, and support automation testing. Work with databases, RBAC, version control, Kubernetes, Kafka, and cloud/storage technologies.

Design and build cross-platform desktop (Electron) and native mobile client apps, create responsive web interfaces, implement WebRTC-based real-time audio/video/chat, integrate with backend APIs and authentication, and participate in code reviews, testing, and performance optimization.

Build and maintain media backend services for real-time audio/video/screen sharing. Implement media routing, session management, and signaling; optimize for low latency with adaptive bitrate and congestion control. Collaborate with control plane and client teams, and ensure scalability, resilience, and observability of media services.

Design and execute end-to-end tests for client, control plane, and media plane components. Develop automated functional, performance, and regression test suites. Collaborate with developers to reproduce and fix defects, maintain test environments and CI pipelines, and document test plans, cases, and results for release readiness.

Design, develop, and execute manual and automated test plans for networking features; create test cases and automation scripts; perform root cause analysis; log and resolve issues; collaborate with developers, TAC, and international teams to support product releases.

Lead QA for new product lines: review requirements, design and run manual and automated tests, develop test tools and scripts, identify and document defects, collaborate with developers, monitor release risks, and create team documentation and training.

Lead product roadmaps, design new features and certifications, collaborate with R&D and QA across the product lifecycle, develop pre-/post-sales tools and environments, and research new technologies to devise solutions.

Design, develop, and maintain embedded networking software for Fortinet products. Perform hardware bring-up, SDK porting, Linux driver and U-Boot development, bug fixes, and implement high-quality features on schedule while collaborating across teams.

The Senior Software Engineer will design and maintain CI/CD pipelines, manage software deployments for autonomous vehicles, and optimize workflows for development and testing.

Design, build, and maintain end-to-end mobile trading systems for iOS and Android. Ship production-quality code, perform code reviews, break down projects, and align cross-functional teams. Apply AI coding tools, support onboarding, and serve as a mobile subject-matter expert within a fast-paced crypto/Web3 environment.

Build and maintain end-to-end mobile trading systems for iOS and Android. Ship production-quality, well-tested code, apply blockchain and crypto knowledge, and integrate AI tools to improve engineering workflows. Break down projects, collaborate cross-functionally, conduct and act on code reviews, mentor teammates, and participate in hiring and onboarding. Influence product decisions through data-driven insights and provide domain expertise for mobile trading initiatives.

Design, develop, and maintain high-performance distributed storage software and protocol APIs (file, block, object). Build scalable, resilient storage services, integrate with hardware (NVMe, GPU-direct), troubleshoot production data center issues, and participate in full SDLC for on-prem storage solutions.

Lead design and implementation of high-performance distributed storage systems across object, block, and file paradigms. Drive architecture, mentor engineers, integrate storage with networking/compute/DPUs, optimize protocol performance, troubleshoot production data center issues, build benchmarking and observability tooling, and collaborate on cross-functional AI infrastructure deployments.

The Senior Software Engineer will enhance user experiences by optimizing APIs and SDKs, collaborating with product teams, and developing cloud functions in Kotlin.

The Principal Software Engineer will oversee technical readiness for NVIDIA's GT data generation, resolving upstream blockers and ensuring quality across sensors and data platforms while collaborating with teams in the US and China.

The Senior Software Engineer, Workflow Platforms will architect, build, and operate orchestration platforms for machine learning, data pipelines, and CI/CD at Bot Auto, ensuring reliability and efficiency.

The Staff Software Development Engineer will define technical vision, mentor engineers, oversee AI platform development and ensure scalability, reliability and security.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

Design, build, and deliver an AI and machine learning platform, enhancing developer velocity while collaborating with cross-functional teams.