Software Engineer Jobs in Sunnyvale, CA

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.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.

Lead transaction reconciliation efforts, develop scalable ledger infrastructure, implement payment flows, and own backend platform projects end-to-end.

As a Senior Backend Engineer, you'll design scalable backend systems, build foundational architecture, and manage complex projects within a voice AI-driven platform.

As a Senior Full-Stack Engineer at Retell AI, you'll develop scalable systems and intuitive interfaces, bridging backend integrations with frontend experiences, focusing on voice automation solutions.

As a Staff Software Engineer at Arc, you will lead the design and development of a new AI-native banking platform, focusing on reliability and scalable systems for cash management and treasury solutions, while influencing product direction and mentoring team members.

Build high-performance, scalable simulation infrastructure and tooling for autonomous vehicle development. Design systems for scenario generation, simulation execution, synthetic data, and reinforcement-learning workflows. Collaborate with ML, perception, and controls teams to improve realism, performance, and validation pipelines while writing production-quality C++ and Python code, contributing to architecture, testing, and documentation.

The Senior Software Engineer will design and implement data protection software components, collaborating with teams and utilizing strong coding skills in C/C++ on Linux/Windows.

The Staff Software Engineer will design and implement core platform development, improve system foundations, and lead technical initiatives to enhance AI automation deployment across organizations.

The Senior Software Engineer will lead application development projects, enhance user-facing applications, and implement best software practices while collaborating on product direction.