Software Engineer Jobs in Sunnyvale, CA

Design, build, and manage Moveworks cloud infrastructure and developer platform across regions. Build CI/CD pipelines and infrastructure-as-code, deploy and manage Kubernetes/Istio clusters, troubleshoot networking, improve security posture, and collaborate with platform, ML, data, and frontend teams.

Develop and enhance the HIL Platform for AV testing, ensuring high-quality software delivery through collaboration, requirements generation, and automated testing.

Design and develop software for a Linux-based networking system, ensuring reliability and performance in vehicle communications, while collaborating with hardware and application teams.

The Associate Software Engineer collaborates on infrastructure needs, builds core functionalities, improves system observability, and measures performance for scalable applications.

Design, develop, and maintain software systems for autonomous driving evaluation workflows. Collaborate across teams, improve infrastructure, and mentor engineers.

As a Software Engineer, you'll build AI agent systems, implement AI algorithms, collaborate across teams, and mentor other engineers, focusing on enhancing the AI Assistant platform.

As a Software Engineer, you'll contribute to developing AI agent systems, implementing algorithms, and enhancing products while collaborating with experts and mentoring other engineers.

As a Software Engineer, you'll develop infrastructure for autonomous vehicle testing, improving data processing and internal tools alongside experienced engineers.

Design, develop, and maintain enterprise Salesforce solutions and integrations. Lead architecture, implement Salesforce Sales/Service Cloud and Communities, build LWC/APEX components, automate business processes, perform testing and data migrations, and provide operational support under Agile/DevOps practices. Hybrid role requiring local office presence.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.

As a Software Engineer on the Observability team, you will develop and maintain scalable systems for telemetry data processing, enhance monitoring, collaborate across teams, and engage in on-call rotations.

Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, enterprise-grounded reasoning using CMDB/Knowledge Graph, retrieval/RAG pipelines, model integration with frontier SDKs, and trust/safety/governance. Lead architecture, code quality, and mentor engineers for scalable, safe autonomous agents.

The Software Engineer will enhance Lending products for Cash App, focusing on building complex systems, APIs, and collaborating with multiple teams to support economic empowerment through accessible credit.

As a Software Engineer, you will design and build backend services and integrations for financial operations, focusing on scalable technology solutions and AI enablement, while collaborating with cross-functional teams to ensure compliance and data integrity.

Design, document, and implement low-latency C++ runtime software on Linux for the Autonomy Interface SW team. Interface autonomy stack with vehicle sensors and hardware, improve reliability via CI and automated testing, collaborate across teams, mentor developers, and deliver complex embedded projects incrementally.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Software Engineer II will design and implement features for the Developer Experience platform, focusing on CI tools, test systems, and integrations. Responsibilities include end-to-end ownership of projects, code reviews, and onboarding new team members.

Design, build, and scale backend Graph features and services powering the Veza Access Graph. Improve performance, reliability, and APIs; implement logging/monitoring; collaborate with product and security teams; optimize code through reviews, testing, and refactoring; stay current on relevant technologies.

Build and maintain the Falcon platform UI, owning policy framework features from design to delivery. Develop reusable components (Ember/Web Components), write automated tests, mentor junior engineers, improve developer experience, and collaborate cross-functionally to enable policy-driven security features.

Build and maintain cloud-based systems that manage and distribute configuration to millions of endpoints. Design and implement scalable backend services (primarily in Go, with some Python), collaborate across teams, perform code reviews, ensure testing/logging/resilience, troubleshoot production outages, and contribute to platform reliability. Work is hybrid with occasional travel for in-person meetings.

As a Software Engineer III at GlossGenius, you will lead data engineering efforts, designing and implementing data models and pipelines while mentoring engineers and shaping the data platform's vision.

The Software Engineer will enhance simulation release processes, ensure quality across teams, improve system reliability, and facilitate cross-functional collaborations to resolve systemic issues.

Design and implement automated pipelines, metrics, and tools to validate autonomous vehicle behavior at scale using simulation and on-road data. Leverage LLMs and agentic workflows, ensure quality through monitoring and automated checks, and collaborate with stakeholders to productionize validation processes.

The Staff Data Platform Software Engineer will design, improve, and maintain the Veza Access Graph system, focusing on performance, scalability, and collaborating on product features to enhance identity and access management experiences.

Build and own distributed runtime infrastructure for agentic AI: orchestration engine, lease-based distributed session management, event-driven pipelines, structured concurrency using asyncio/goroutines, observability with OpenTelemetry/Prometheus, and caching/state layers with Redis/DynamoDB to support long-running, low-latency agent sessions at scale.