Software Engineer Jobs in Sunnyvale, CA

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

Lead architecture and design for distributed systems at Orkes, mentoring engineers, and delivering high-impact features while staying current with technology trends.

Lead architecture and stewardship of mission-critical web services (Fleet Management, Auth, Core APIs). Build scalable front-end and cloud infrastructure on GCP, leverage React and Three.js for high-performance rendering, design distributed systems and data pipelines, own initiatives end-to-end, and provide cross-functional technical leadership and mentorship.

Own and extend core backend services (Fleet Management, Auth, Core APIs), build scalable web infrastructure on GCP, contribute React/Three.js front-end work, design and ship major features end-to-end, and mentor engineers to maintain high availability and performance.

Lead and implement end-to-end, AI-enhanced employee experiences across web and mobile. Architect scalable services and UIs, embed LLM/vector-search and recommendation systems, integrate third-party HRIS and collaboration platforms, champion modern front-end patterns and cloud-native back-end practices, ensure observability and reliability, and mentor engineers while upholding security, privacy, and accessibility standards.

Lead architecture and delivery of Dialpad's agentic AI platform, building scalable multi-agent orchestration, memory and retrieval systems, real-time voice reasoning, inference optimization, safety/observability, and production integrations while mentoring engineers and partnering with product and research.

As a Senior Software Engineer, you'll own product features, design scalable systems, mentor teammates, and ensure engineering excellence, focusing on real-time workflows for the Dialer team.

As a Senior Full Stack Software Engineer, you will own product features, design scalable systems, mentor teammates, and ensure coding excellence while collaborating with cross-functional teams.

Lead full-stack engineering efforts, architect real-time workflows, mentor engineers, and drive product initiatives across backend services and frontend applications.

Lead the Materialized Views engineering team, build scalable systems, optimize performance, and manage architecture design for data solutions.

Lead architecture and hands-on development of AI-powered support automation and agentic workflows to reduce time-to-mitigate, improve quality, and scale Support. Own technical vision, implement observability and rollback mechanisms, align roadmaps across teams, and mentor engineers to ensure reliability and maintainability.

Design, build, and scale Databricks AI Runtime for large-scale GPU training. Lead architecture and implementation of multi-node orchestration, scheduling, checkpointing, resilience, throughput optimization, observability, and developer tooling. Mentor engineers, partner with product and research, and deliver high-impact production rollouts supporting thousands of accelerators and diverse model workloads.

Drive architecture and implementation of Databricks AI Runtime for large-scale GPU training. Build scheduling, distributed training performance, resilience, observability, and developer-facing APIs/CLI. Improve GPU utilization, fault tolerance, and multi-node orchestration. Lead cross-team initiatives, mentor engineers, and deliver high-impact platform features supporting thousands of accelerators and long-running jobs.

Design and build systems for service communication across clusters, focusing on API gateways, service discovery, and overload protection.

As a Senior Staff Software Engineer, you will develop and maintain AI deployment software, optimizing hardware-software co-design, and work closely with various experts to enhance infrastructure.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.

Develop and deliver new features for the Horizon Windows Agent, improve existing products, tools and processes, and resolve customer issues and escalations. Work involves C/C++ development on Windows, architecture and design of enterprise software, multithreading, OS internals, SSO, distributed systems, cloud platforms, and practical use of AI to boost productivity.

Develop and deliver CUDA driver features across pre-silicon simulation, silicon bring-up, and production software. Collaborate with hardware and software teams to design, implement, test, and stabilize GPU compute and graphics functionality across multiple operating systems.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

Build and maintain ML infrastructure for training, serving, and monitoring models for Ads and Recommendations. Improve training reliability and serving performance, own core ML infra components (pipelines, feature/embedding platform), address production issues, and collaborate with ML engineers to deliver robust model pipelines.

Develop, debug, and harden kernel-mode GPU and SoC system software across design, emulation, bringup, and production. Focus on performance, power optimization, robustness, and cross-team collaboration for datacenter, desktop, workstation, and console platforms.

Design, implement, and maintain scalable experimentation platform services. Collaborate with engineers, PMs, and privacy/security/SRE partners to deliver reliable, diagnosable features, participate in on-call rotations, and improve tooling, telemetry, and automation to support large-scale A/B testing and AI product experimentation.

Lead development and integration of instrumentation software for digital pathology and robotic systems. Design scalable C#/C++/.NET/Linux applications, develop firmware, implement unit/subsystem/integration tests, collaborate in Agile teams, mentor engineers, prototype new systems, and drive reuse of shared architecture components to deliver high-quality diagnostic products.

Own cloud software and data platform services end to end, including architecture, APIs, data models, pipelines, production operations, monitoring, incident response, and reliability. Build scalable systems for sensor-generated data, use AI-assisted development tools, mentor engineers, and collaborate with product managers to turn ambiguous requirements into production software. The role requires strong backend or full-stack engineering, cloud infrastructure experience, and ownership of systems from prototype through production.

Develop Java-based REST services and APIs for the Low/No Connectivity project. Implement service endpoints, write unit tests, fix defects and enhancements, participate in design/code reviews and Agile team ceremonies, and mentor junior engineers.