Software Engineer Jobs in Sunnyvale, CA

Build scalable, resilient backend microservices in Go; design gRPC/REST APIs; containerize with Docker; deploy and manage services on Kubernetes; implement asynchronous messaging (NATS/RabbitMQ); work with PostgreSQL; drive CI/CD, testing, code reviews, and documentation for greenfield robotics orchestration systems.

Build and productionize AI applications integrating LLMs and vision models into an edge-to-cloud robotics platform. Fine-tune and quantize models, deploy to NVIDIA Orin/Jetson and cloud GPUs, integrate Vector DBs/RAG/agent frameworks, and create data pipelines to collect and version sensor data for retraining.

Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.

As a Fullstack Software Engineer, you'll develop critical applications for Hadrian's FactoryOS, collaborating with teams to enhance manufacturing processes.

Design, develop, test, and maintain networking systems software (Junos/Junos Evolved) and forwarding ASIC firmware. Implement and debug networking protocols (L2/L3/L4), collaborate with product teams, execute test plans, and communicate progress to stakeholders to deliver reliable networking solutions.

The role involves optimizing application-layer software for embedded systems in autonomous driving, ensuring performance within tight compute budgets, and collaborating with other engineers.

Responsible for designing, building, and maintaining backend services and infrastructure for the remote assistance platform, including APIs and data streaming solutions.

The role involves designing machine learning systems, optimizing real-time data processing, and building large-scale pipelines for fraud detection.

As a Software Engineer at Glean, you will develop and enhance REST APIs, SDKs, and client libraries, ensuring optimal developer experience and integration across tools. You will focus on API design, security, documentation, and customer feedback to improve the platform.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Design, develop, test, and maintain scalable software applications, APIs, services, and platform capabilities. Lead technical architecture and implementation, improve system performance and reliability, support automated delivery and testing, and establish engineering standards. Partner with cross-functional teams, communicate technical decisions, mentor engineers, and evaluate emerging technologies, including AI-enabled development tools. The role is fully remote with occasional travel of up to 15%.

Design and operationalize firmware and software architectures for next-generation NVIDIA Edge AI platforms. Define scalable platform requirements with hardware, software, ISV, and IHV partners; develop reliable, debuggable firmware, diagnostics, and deployment tools; contribute from pre-silicon design through production; make technical decisions amid ambiguity; and mentor architects and engineering teams.

Architect and build highly available control-plane network services for TeraWave’s satellite communications network. Design microservices for subscriber provisioning and session management, develop stateful distributed systems across terrestrial data centers and orbital nodes, and optimize SQL, NoSQL, and time-series databases handling billions of telemetry points. The role also involves cloud-native Kubernetes deployments, service mesh, resiliency patterns, event-driven architecture, and large-scale observability.

The role involves integrating CUDA features into AI frameworks, optimizing performance, and collaborating with teams on AI model development. Responsibilities include design, analysis, and enhancement of AI tools and frameworks.

Design and build resilient, high-throughput distributed systems in C++ to achieve six 9s reliability. Own platform components end-to-end, drive features from design to production, resolve consensus, resource-allocation, and fault-tolerance issues, and collaborate across engineering teams on architecture and code quality.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

As a Staff Software Engineer, you will develop solutions in the autonomy space, tackle complex engineering challenges, and mentor others.

Lead the strategy and development of next-generation post-training systems for Waymo’s autonomous driving AI. Advance post-training techniques, research applications for real-world autonomous driving, build scalable metrics, data, and flywheels, and collaborate with ML platform and onboard software teams. The role also requires influencing engineering strategy and stakeholders across the organization, including director and VP-level leaders.

Lead development of Luminai’s core platform, including shared frameworks, developer tooling, CI/CD, test infrastructure, observability, reliability, and IDE improvements. Architect high-performance backend systems, remove engineering bottlenecks, and establish secure defaults for authentication, authorization, and secrets management. Drive foundational technical initiatives and improve developer experience across the engineering organization.

Design, build, and maintain Luminai’s core platform infrastructure, backend services, shared libraries, internal APIs, and deployment systems. Lead projects that improve scalability, reliability, developer workflows, CI/CD, testing, and local development. Strengthen production systems through secure authentication, access controls, secrets management, code review, testing, and maintainable engineering practices.

Lead design and development of system-level services, diagnostics, and tooling for an AI inference platform. Support board/firmware bring-up, kernel and driver development, hardware/software co-design, manufacturing test integration, and system-level performance and power optimization. Collaborate with silicon, hardware, and manufacturing teams to debug and validate platform software.

Build and operate scalable inference infrastructure to deploy large foundation models across cloud and on-prem GPU clusters. Implement Kubernetes-based deployment pipelines, resource scheduling, model serving integrations, deployment/versioning tooling, and observability to ensure reliable, cost-effective model workloads in research and production.

As a Senior Software Engineer at Taara, you will design and implement scalable cloud-native software for managing global optical terminals, build telemetry pipelines, automate infrastructure, and ensure effective communication between hardware and cloud services.

As a Data Science and Machine Learning Software Engineer at NetApp, you will develop algorithms for real-time personalized search and recommendation using IoT data, while working on cloud-based services and analytics.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.