Software Engineer Jobs in Sunnyvale, CA

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 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.

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.

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.

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.

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.

Design and implement scalable C++ and Python backend systems for simulation data generation and management. Build and optimize large-scale multi-modal data pipelines, implement lifecycle management, versioning, and storage, improve platform performance and reliability, and collaborate with engineers and researchers on data APIs and long-term architecture.

Design, implement, and operate large-scale Ads infrastructure on Azure. Build and optimize data ingestion, storage, and streaming pipelines; ship new ad-product features; apply ML/AI to improve ad quality; analyze data for technical design; and handle live-site escalations with customers.

Architect and deliver high-performance, scalable platform services across GitHub (Actions, Identity, Billing, Git systems, DB infra). Lead design through production, mentor engineers, own reliability and on-call responsibilities, design APIs, collaborate cross-functionally, drive roadmaps, and champion security and operational excellence.

Design, develop, and maintain large-scale build orchestration systems, build tooling, and reproducible containerized environments. Improve build speed, reliability, correctness, debuggability, and developer experience across local and CI workflows. Troubleshoot C/C++ build graphs, dependency and linking issues, flaky builds, and regressions. Partner cross-functionally on technical strategy, operational excellence, observability, and incident response while mentoring engineers and using metrics to improve infrastructure performance.

Lead architecture, development, integration, risk analysis, and verification of embedded software for robotic-assisted surgical platforms. Design real-time, distributed multiprocessor systems; integrate custom PCAs and FPGA IP; develop supervisory state machines, hardware controls, diagnostics, communication subsystems, and user interfaces. Collaborate with cross-functional teams on requirements, schedules, safety, cybersecurity, regulatory compliance, and product validation.

Architect and lead EarnIn’s Identity & Trust platform across authentication, authorization, identity verification, privacy, secure document processing, fraud prevention, and identity resolution. Define multi-year strategy, design resilient distributed systems, establish security and reliability standards, lead cross-team initiatives, advance guarded AI-assisted engineering workflows, mentor senior engineers, and partner with product, security, risk, compliance, and executive stakeholders.

Leads technical developer relations and strategic software-account engagement for NVIDIA integrations across observability, security, and AI platforms. Builds demos, sample code, guides, APIs, SDK integrations, and technical enablement programs; advises developers and partners; drives adoption and co-innovation; delivers talks and workshops; coordinates with engineering, product, sales, legal, and marketing; and translates ecosystem trends and developer feedback into product and platform strategy.

Lead verification of features for NVIDIA-Cumulus Linux, develop test plans, execute tests, automate testing, and collaborate on issue resolution.

Develop and integrate robotics algorithms and machine-learning systems for perception, state estimation, localization, mapping, sensor fusion, planning, control, and learned behaviors. Build and deploy autonomy software across mobile robots, robotic arms, quadrupeds, and humanoids. Integrate camera, LiDAR, and IMU data, optimize software for embedded and edge platforms, support real-robot testing and demos, and debug system-level autonomy issues.

Designs and maintains embedded software development, testing, manufacturing, and deployment tools. Responsibilities include board bring-up, flashing, provisioning, diagnostics, hardware-in-the-loop testing, factory automation, simulation, observability, and cross-platform toolchain integration across embedded hardware. Collaborates with firmware, hardware, systems, test, and manufacturing teams to improve productivity, reliability, test coverage, and production workflows.

Architect and implement a cross-platform desktop application for 3D ultrasound, integrating imaging algorithms, AI/ML models, hardware interfaces, secure cloud storage, high-speed data pipelines, and server-side services. Lead and mentor the software team, manage CI/CD and DevOps, collaborate on frontend UX, ensure performance optimization, and support verification, validation, and regulatory-compliant development.

Design and implement robust C++ software for multi-processor real-time embedded robotics systems; modularize and unify frameworks across platforms; analyze performance and safety; build/extend simulation and diagnostic tools; participate in risk analysis, requirements, verification, and cross-functional collaboration to support medical robotic products.

Lead development and validation of LLM inference platforms for NVIDIA edge GPUs. Track open-source framework innovations, analyze model-to-hardware mapping, optimize GPU kernels and multi-node inference, produce performance reports, maintain developer inference recipes, own model bring-up workflows, and support partners on hardware-specific inference issues.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.