Software Engineer Jobs in Sunnyvale, CA

Develop and optimize Linux kernel features and device drivers for enterprise storage arrays. Maintain and patch kernel code, diagnose hardware-software boundary issues, optimize performance (NUMA, interrupts, threading, CPU instruction sets), lead architecture and development from concept to release, mentor peers, participate in code reviews, and collaborate with partners and vendors.

Design and implement high-performance, highly reliable storage algorithms and systems for hyperscale cloud workloads. Own end-to-end product delivery, solve complex problems, collaborate with peers and customers, and apply deep knowledge of flash/SSD technologies, distributed storage platforms, networking, and data center architectures. Work primarily on-site in Santa Clara.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

As a Senior Software Engineer, you'll build and manage the runtime infrastructure for Moveworks' AI agents, focusing on distributed systems, event-driven architectures, and observability. You'll handle real-time responses for enterprise users, ensure system correctness and low latency, and deal with innovative engineering challenges.

The role involves building systems for route planning, optimization, and real-time tracking for fleets, emphasizing scalable backend services and integration with dispatch tools.

Build and own distributed runtime infrastructure for agentic AI: session orchestration, lease-based distributed session management, event-driven pipelines, structured concurrency, observability, caching/state layers, and real-time streaming to support multi-step agent workflows at scale.

Lead frontend and backend development for AI projects, establishing architecture standards, mentoring engineers, and integrating AI capabilities into applications.

As a Senior Fullstack Engineer, you'll lead the development of AI-powered web applications, ensuring scalability and modular design while collaborating across teams to enhance user experience.

Build and own runtime infrastructure for agentic AI: orchestrate long-running agent sessions, manage distributed session leasing and checkpointing, implement event-driven pipelines, structured concurrency with asyncio, observability via OpenTelemetry and tracing, and design caching/state layers (Redis, DynamoDB) for low-latency, high-scale production workloads.

The role involves designing and maintaining large-scale observability systems, supporting service deployment, monitoring system health, and responding to incidents, while fostering a culture of collaboration and continuous improvement.

Design, build, and modernize full‑stack web applications and microservices for a real‑time event-driven data and visualization platform. Develop and optimize streaming data pipelines (Kafka, Flink, Spark), integrate observability, caching (Redis), and AI agents, and collaborate with hardware verification teams for scalable, low-latency solutions.

Lead development of Python-based tools and automation frameworks for optical transceiver validation. Automate test execution, instrument control, data collection/analysis, CMIS and EEPROM verification, and support qualification of PAM4, LPO/LRO, and coherent optics for 1.6T and 12.8T platforms.

Design and build scalable automation, testing, and infrastructure for NVIDIA deep learning libraries across platforms. Develop full-stack tools from UIs to cluster and database layers, configure CI/CD, and advance industry-standard tooling to improve build, test, integration, and release workflows.

Designs, implements, and validates autonomous driving software (perception, localization, planning/prediction, or control). Develops ML models and data pipelines, runs simulation and vehicle tests, collaborates with global partners, and optimizes systems for embedded/automotive deployment and safety compliance.

The Senior iOS Engineer will lead engineering decisions, actively develop the Speechify iOS app, shape the product roadmap, and enhance the app architecture for a growing user base.

The Staff Software Engineer will enhance the Developer Experience team by building scalable developer platforms, improving developer productivity, defining platform standards, and mentoring peers while focusing on generality and operational excellence.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior engineers.

This role involves ensuring the quality of autonomous vehicle simulation platforms through coding, developing metrics, and automated regression monitoring. Responsibilities include maintaining simulation systems, debugging validation measures, and collaborating with cross-functional teams.

Develop and test embedded and network/security software for hardware and virtual/containerized systems. Collaborate with product, QA, and platform teams to resolve issues, build high-performance networking and security features, and apply basic AI tools to engineering tasks.

Develop and maintain the Linux kernel in EOS, integrate new CPU support, debug issues, and lead projects. Collaborate with customers and engineers, and mentor junior staff.

The role involves developing Layer1 software for physical connectivity in networking, working with engineers to create new features, and providing technical leadership and support.

Develop and maintain CPU firmware, BIOS, and Boot Loader software. Collaborate with hardware teams, conduct validations, and mentor junior engineers.

The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.

Design and implement deterministic, safety-critical motion planners for autonomous vehicles, ensuring safe operation under uncertainty and degraded perception. Collaborate with diverse teams and conduct large-scale evaluations.

Build infrastructure and tools for large-scale E2E autonomy research. Collaborate with AI teams to productionize self-driving software and scale training aspects.