Software Engineer Jobs in Sunnyvale, CA

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.

Work on an agile team to design and implement an iOS SDK for third-party developers. Develop interfaces, write unit tests, and collaborate with a tech lead, testers, and team members to deliver production-quality SDK components.

Develop and maintain datapath software using C/C++ for high-performance networking on Linux. Work with IP protocols (TCP/UDP), packet routing, drivers, and system configuration. Optional contributions to OpenStack/Neutron plugins, virtualization (VMware/NSX), DPDK or other packet I/O SDKs, and security tools (IDS/IPS, firewalls).

Develop and enhance a retail engagement analytics product by implementing data engineering solutions: build real-time data flows, work with NoSQL stores, support data infrastructure and visualization, clean and prep noisy datasets, and recommend improvements to data reliability, efficiency, and quality.

Implement and enhance Android applications for wearable devices: translate product requirements, design and maintain mobile architecture, add customer-specific features, optimize security, performance and scalability, participate in code reviews, collaborate across teams, and support testing and deployment.

Design, implement and verify boot firmware for flagship CPU SoCs. Define and decompose functional and safety requirements, perform FMEA/DFA, validate on pre-silicon simulation, support silicon bring-up and productization, and collaborate across teams to meet safety and security standards.

Design, deploy, and operate large-scale workflow orchestration platforms (Argo/Airflow/hybrid) for simulation, ML training, data pipelines and CI/CD. Build SDKs, abstractions, and self-service tooling; ensure reliability, observability, cost-efficiency, GPU and cross-cluster scheduling on Kubernetes across cloud and on-prem; integrate with storage, streaming, registries, and CI/CD; document best practices and mentor engineers.

Design and architect Android systems and modular components to support multiple apps. Ship end-to-end user features using an AI-assisted workflow, improve developer tooling and CI, set quality and safety standards for AI-generated code, solve performance and production issues, and document playbooks for the team.

Lead backend architecture upgrades and implement AI-native infrastructure for high-QPS recommendation systems. Build safe-production AI agent infrastructure, automate engineering workflows, deliver backend features for product initiatives, and own reliability, observability, and safe rollout practices.

Design, build, and maintain backend Java microservices and APIs for post-bind policyholder workflows. Own features end-to-end, drive architectural decisions, implement integration solutions, develop tests, monitor production, and mentor engineers.

Design, configure, and develop SAP MDM/MDG and S/4 HANA solutions. Gather business and system requirements, create specifications, implement customizations, automate workflows, and perform testing. Troubleshoot production issues, lead small subsystems/projects, collaborate with stakeholders, and support large-scale SAP MDM and S/4 HANA migration programs.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

Design, develop, and execute automated tests for onboard embedded software across OS, middleware, sensors, and integration points. Validate behavior on embedded hardware and HiL setups, debug system-level issues, build reusable test frameworks, integrate tests into CI pipelines, and enable developer self-service testing to improve coverage and speed release cycles.

Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.

As a Software Engineer, you will design, implement, and optimize software solutions, collaborate with teams, and support various stages of development while shaping company culture.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Develop and automate configuration for distributed clusters, create monitoring tools, manage cloud operations, and ensure system reliability for Cerebras AI supercomputers.

Lead the development of embedded firmware systems for robotics, mentor engineers, implement control algorithms, and collaborate across teams to ensure effective system integration and testing.

Design and optimize hardware interfaces, collaborate with ML and hardware teams, and ensure software and hardware integration.

Design and build RL post-training infrastructure for AI, optimizing training-inference-rollout on distributed systems while ensuring fault tolerance and scalability.

Own authentication and authorization features end to end, including design, development, debugging, testing, deployment, and on-call support. Collaborate with product managers, architects, security engineers, and support teams to deliver highly available distributed services at Microsoft 365 scale. The role focuses on secure, resilient infrastructure serving millions of users and organizations, with opportunities to lead complex infrastructure projects and improve customer satisfaction.

Design and develop accelerated and distributed implementations of Python APIs for numerical computing, optimizing performance on various architectures and contributing to technical roadmaps.

Lead the architecture and development of agentic AI systems for Waymo Driver evaluation and event triage. Build multi-agent orchestration, reasoning loops, stateful infrastructure, long-term memory, RAG, vector database, semantic routing, and internal tool integrations. Collaborate across teams to embed agents into evaluation workflows, mentor engineers, define technical strategy, and lead ambiguous automation initiatives from concept through production.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.