Software Engineer Jobs in Sunnyvale, CA

Lead design reviews and architecture in a Kubernetes-native inference platform, improve latency and reliability, mentor engineers, and implement optimizations.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

As a Senior Software Engineer on the Developer Experience team, you will drive architectural decisions, design systems for developer productivity, mentor engineers, and enhance the platform's capabilities to improve developer workflows and system reliability.

The Staff Software Engineer leads the Developer Experience team, driving technical strategies and addressing complex developer productivity challenges at CoreWeave, focusing on building robust developer platforms and enhancing engineering processes.

Architect, implement, and optimize scalable hybrid (cloud and on‑prem) infrastructure. Lead automation, CI/CD, deployment, and IaC practices; mentor engineers; improve developer experience; collaborate with Solutions Architects, Field Engineers, and product teams to deliver integrated solutions.

Lead design and delivery of production-grade AI capabilities to improve developer productivity across engineering tools, CI/CD, and embedded software workflows. Define technical vision, integrate AI into toolchains, drive productionization, establish responsible AI standards, mentor engineers, and influence cross-functional roadmaps and implementations.

Design, build, and scale cloud-side detection systems for large distributed data streams. Implement backend services (primarily in Go), integrate ML models, work with distributed datastores and streaming systems, mentor engineers, and ensure reliable, testable production deployments in cloud environments.

Develop high-performance software for silicon test pattern generation, silicon application, failure analysis, and yield learning. Create parallel graph traversal and analysis methods, collaborate across technical teams, and apply LLMs, RAG, graph-based machine learning, and reinforcement learning to electronic design automation solutions. The role also involves large-scale model training, data processing, agentic applications, and advanced multi-agent and vector database systems.

Develop trusted firmware and low-level system software for NVIDIA Tegra platforms and ARM architectures. Responsibilities include embedded systems and device-driver development, CPU architecture analysis, confidential computing standards, power, performance and security improvements, hardware bring-up, architectural evaluations, and taking designs from specifications through productization.

Build and maintain customer-ready Linux distributions, installation images, packages, and release processes for NVIDIA AI-RAN and AI products. Integrate NVIDIA software, drivers, and third-party components into Ubuntu and RHEL. Develop build automation and CI/CD pipelines, configure and validate Linux kernels and BSPs, troubleshoot platform integration issues, and collaborate with enterprise Linux and silicon vendors.

Develop bare-metal firmware, system software, and applications for Tegra SoC security use cases. Debug security and system software, build cryptographic Root of Trust systems, and support silicon development from pre-silicon simulation through power-on. Create tests, improve automation and software quality, collaborate across hardware and software teams, and integrate technology with partners. The role also involves security architecture, secure boot, cryptography, confidential computing, and mentoring engineers.

Build and scale Waymo’s ride-hailing marketplace systems for trip management, vehicle-rider matching, pricing, and vehicle positioning. Develop infrastructure to train and deploy machine learning and optimization models for real-time decisions. Create experimentation, monitoring, and analysis systems for deployed models, and partner with data scientists to productionize pricing and matching models.

Develop end-to-end full-stack applications for Pure1’s SaaS cloud platform, including subscription, commerce, data processing, and predictive analytics features. Build Java, Python, Node.js, Angular, and TypeScript services and web applications, use AI-assisted development, explore Kubernetes and micro-frontends, and lead projects from requirements through production while coordinating engineers and maintaining testing, reviews, documentation, CI, and CD.

The Senior iOS Engineer will lead key engineering decisions, actively ship production code, participate in product discussions, and enhance the existing app architecture.

Develops rapid product prototypes and technology demonstrations in C/C++ and Python across evolving embedded hardware. Responsibilities include modifying drivers and software frameworks, designing architectures, establishing CI/CD and code review workflows, translating research algorithms into high-performance embedded code, supporting chip and board bring-up, collaborating with Systems and Physical AI teams, documenting implementations, and handing successful prototypes to production software teams.

Design, develop, and maintain backend services and APIs for payments, subscriptions, and text-to-speech while ensuring scalability and performance. Collaborate with cross-functional teams on B2B solutions.

Design and build the agent evaluation platform: orchestrate large-scale multi-turn agent evals, observability and tracing with OpenTelemetry, stateful simulation environments, and scoring/judgement systems to produce calibrated signals for training and gating agent releases.

Build the judgment layer and infrastructure for an agent evaluation platform: orchestration for multi-turn agent scenarios, observability and OpenTelemetry-based tracing, stateful simulation environments, and scalable evaluation pipelines to produce calibrated signals usable for training and gating agent releases.

Provide advanced customer-facing technical support for enterprise VDI solutions: diagnose and reproduce complex issues, perform root-cause analysis, collaborate with engineering/product/QA, document findings, drive product and supportability improvements, and participate in on-call rotations.

Develop and maintain GPU performance foundation libraries and test frameworks for Nsight tools. Implement GPU assembly tests, use emulators/simulators to validate instruction events, and document data workflows. Collaborate with hardware architecture teams to enable performance analysis and optimization of GPU-accelerated applications.

Develop and maintain digital-twin simulations of manufacturing nodes (motion axes, grippers, sensors) so machine software can be developed and tested without hardware. Build scenario and regression suites for CI, extend simulation coverage across machine types, create validation tooling to compare simulation vs. telemetry, root-cause divergences, and progressively own components like the device-model library or CI simulation harness.

Lead the development of flight software frameworks for LEO satellite networking, ensuring reliability and high performance under space conditions.

This role involves developing functional test plans, executing tests, debugging issues, automating test cases, and collaborating with teams on networking products.

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.

Join the Azure SQL storage/IO resource governance team to build and improve database storage infrastructure. Contribute to feature design, coding, debugging, telemetry-driven analysis, performance and QoS optimization, deployments, testing automation, and live service operations while collaborating with stakeholders and supporting SLA-driven incident response.