Software Engineer Jobs in Sunnyvale, CA

Lead technically complex card-acquiring payment projects from design through production. Build and operate highly reliable payment systems, integrations, testing and certification tooling, and shared engineering frameworks. Analyze ISO messages, network mandates, routing, authorization, clearing, settlement, and processing costs. Provide technical direction, mentor engineers, participate in on-call operations, and establish safe AI-assisted engineering practices for critical financial systems.

Architect and lead CoreWeave’s identity and access management platform for high-performance cloud infrastructure. Design scalable authentication and authorization systems, identity lifecycle management, IdP integrations, and granular permissions. Establish security, observability, reliability, and engineering standards while mentoring engineers and influencing cross-functional security initiatives. Partner with leadership on long-term technical strategy and guide distributed systems from design through global deployment.

Design, build, scale, and maintain CoreWeave’s IAM platform and distributed identity, authentication, and authorization services. Develop APIs and backend systems, optimize performance and availability, implement observability and automated tooling, and participate in on-call operations. Collaborate with product, design, and technical program teams on strategy and roadmap. Apply software engineering best practices, automated testing, CI/CD, security principles, and production troubleshooting to deliver maintainable, reliable cloud infrastructure services.

Leads the design, development, and delivery of complex internal go-to-market and Sales CRM systems. Owns backend services, APIs, event-driven microservices, architectural direction, integrations, production support, and technical decisions. Collaborates with stakeholders and TPMs, contributes to UI development, applies AI-assisted and agentic workflows, mentors engineers, and establishes best practices for testing, debugging, code review, and scalable system design.

Lead DevOps and platform engineering for VCU/CCU infotainment systems. Define CI/CD architecture, optimize Yocto embedded builds, implement distributed build systems, automate releases, build self-service developer platforms, improve observability and developer workflows, apply AI/ML for predictive build/test optimization, and mentor engineers while driving cross-functional delivery from design to production.

Design and deliver production automotive embedded software across MCU and SoC platforms for ADAS HMI experiences. Responsibilities include software architecture, real-time and cross-domain communication, vehicle signal integration, diagnostics, testing, debugging, validation, production launch, tooling improvements, and mentoring. The role requires collaboration across systems, electrical, HMI, ADAS, platform, supplier, and vehicle integration teams while meeting safety, performance, reliability, and maintainability requirements.

Improve simulation release processes, quality strategies, scalability, reliability, and incident management. Build production-quality services, frameworks, and tooling; establish testing and release gates; diagnose systemic bottlenecks and failures; improve performance, monitoring, error attribution, and recovery. Collaborate with simulation, infrastructure, and platform teams to deliver organization-wide improvements in simulation quality, throughput, and operational readiness.

Lead the architecture and evolution of native iOS foundations supporting seller-facing applications. Identify systemic problems, define platform strategy and standards, build prototypes and reference implementations, lead multi-quarter migrations, and establish practices for quality, testing, observability, release safety, and maintainability. Develop senior engineers and create scalable ownership models across teams.

Architect and develop Packet Forwarding Features for PTX Series Routers, engage with customers, work with test teams, and sustain existing features.

Own end-to-end modem firmware architecture for LGA modules, lead modem software stack integration, define baseband, RF, power-management, and system-interface guidelines, and align firmware, hardware, RF, and platform teams. Serve as the technical partner contact, guide complex design and performance decisions, resolve system-level issues, influence modem roadmaps, and provide technical leadership for high-performance 5G platforms.

Leads the technical strategy, architecture, and delivery of scalable hardware-in-the-loop software platforms for autonomous vehicle validation. Designs reliable, observable platform services, APIs, automation, CI/CD, testing, and deployment capabilities spanning AV software, AI models, vehicle hardware, and infrastructure. Resolves complex cross-team technical challenges, improves performance and cost efficiency, mentors engineers, establishes standards, and influences architecture across the AV organization.

Lead the technical vision, architecture, and roadmap for Galileo, a large-scale simulation platform supporting autonomous-driving development. Design distributed systems for simulation orchestration, test management, result analysis, data processing, visualization, and developer tooling. Drive cross-functional initiatives, improve performance and reliability, establish operational excellence, mentor engineers, and influence architecture across teams. The role requires building scalable production platforms and translating customer needs into effective technical strategies.

Develop scalable backend services, APIs, event-driven workflows, metadata pipelines, configuration tools, deployment controls, and observability for vehicle data collection across fleets. The role owns production systems, improves data quality and campaign monitoring, leads cross-team technical initiatives, and contributes through architecture reviews, testing, code reviews, mentorship, and production support. Collaboration spans AI research, data engineering, vehicle engineering, autonomy, privacy, product, and operations teams.

Design and build core developer platforms, including SDKs, APIs, runtime abstractions, tooling, and developer-facing services. Own platform products end to end, define scalable primitives, lead technical strategy, improve developer productivity metrics, establish engineering standards, and mentor senior engineers. The role requires deep distributed-systems expertise, production microservices experience, and extensive leadership operating developer platforms at scale.

Build and scale Moveworks’ generative AI conversation engine for enterprise users. Design scalable APIs and infrastructure supporting multiple chat channels, optimize latency, memory usage, throughput, and multilingual capabilities, and create logging, tracing, debugging, and monitoring systems. Collaborate with machine learning, application engineering, product, and customer support teams while promoting strong engineering practices and rapidly delivering innovative solutions.

Design and architect AI agent systems for enterprise observability, incident investigation, alert remediation, and reduced MTTR. Drive technical strategy, architecture, and high-impact initiatives while integrating LLMs and multi-agent frameworks into production systems. Collaborate across engineering, product, UX, and security teams; build reusable tools and frameworks; mentor engineers; and promote responsible agentic patterns and engineering excellence.

Leads architecture and technical direction for ServiceNow’s authorization platform and access control frameworks. Owns complex features from design through delivery, leads reviews, defines comprehensive testing strategies, resolves difficult production issues, mentors engineers, and drives secure, scalable, reliable software across teams. The role focuses on RBAC, ABAC, policy engines, performance optimization, Java and Golang development, automated testing, observability, CI/CD, and Kubernetes-based services.

Build and ship full-stack, AI-native products from prototype through production. Design agentic systems with model interactions, tools, retrieval, orchestration, evaluations, observability, and guardrails. Own architecture, reliability, security, performance, and product outcomes while partnering with product managers, designers, customers, and domain experts. Use coding agents extensively, set technical direction, review engineering work, and help establish practices for autonomous product teams.

Design and deploy replay and simulation tools for autonomous vehicle development and testing. Lead customer bring-up activities, resolve functional and simulation issues, integrate hardware and software, and conduct profiling, benchmarking, and verification. Perform vehicle and simulation test drives, analyze recorded data, and compare simulation results with real-world performance. Collaborate with engineering and product teams globally to develop scalable solutions and improve autonomous driving system drivability.

Provides technical vision and architectural leadership for transforming a CARE agent experience into an agentic model. Designs scalable workflows, integrates next-generation CRM solutions, leads cross-system technical decisions and migration efforts, establishes reusable engineering patterns, mitigates architectural risks, and partners with cross-functional leadership. The role also mentors senior engineers and advances engineering standards across teams. Requires expertise in platform engineering, cloud-native distributed systems, AI/ML integration, CI/CD, testing, and observability.

Develop and maintain full-stack web applications across persistence, services, platform, and performance layers. Translate business requirements and design mockups into intuitive features, collaborate with product and design teams, and work within a Scrum-based Agile process. The role requires expertise in Java, JavaScript, modern web frameworks, cloud applications, web architecture, object-oriented development, and automated testing, with opportunities to integrate AI into workflows and problem-solving.

The role involves building and maintaining a workflow platform for chip engineering, focusing on automation, configuration systems, and debugging in a Linux environment. Responsibilities include managing workflows, improving diagnostics, and integrating job execution systems.

Build and maintain scalable backend search services for Uber Eats, Grocery, and Retail. Develop lexical, semantic, ML-powered, and LLM-based retrieval and ranking systems, indexing infrastructure, and model-serving capabilities. Improve search relevance, latency, throughput, reliability, and observability while debugging production issues and collaborating with ML, data science, product, and engineering teams. Write well-tested production code and contribute to technical design decisions.

Build production AI systems, including agentic AI services, distributed data and compute pipelines, GPU-accelerated workloads, and scalable microservices. Integrate LLMs, models, vector databases, feature stores, and MLOps tooling while optimizing performance, reliability, observability, security, and cost. Develop SDKs and CLIs, establish CI/CD practices, collaborate with data science and platform teams, and mentor engineers on AI systems and distributed computing.

Develops and supports software features, services, APIs, user interfaces, and ML components. Responsibilities include coding, technical design, testing, CI/CD, observability, monitoring, maintenance, automation, and AI/ML integration. The engineer translates business needs into technical requirements, guides small engineering groups, collaborates cross-functionally, resolves issues, and drives projects to completion while maintaining scalable, secure, accessible, and reliable solutions.