Software Engineer Jobs in Sunnyvale, CA

Lead development and support of Intuitive’s da Vinci surgical-system emulator and hardware-in-the-loop environments. Expand emulator capabilities by modeling microcontrollers, sensors, FPGAs, and physics; investigate evolving system software and firmware; promote simulation-first development; and collaborate with engineers to deliver feature requests, fixes, and integrations. The role requires debugging complex systems, balancing new development with support, and guiding emulation-team practices.

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.

Build and maintain a data-oriented full-stack frontend platform for defense autonomy tooling, focusing on 2D/3D map rendering, mission planning, monitoring, and integration with simulators and real-time data pipelines. Collaborate with design and other teams to create intuitive, configurable UIs and strong test fixtures for defense customers.

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.

Build and optimize scalable, reliable training infrastructure and services for LLMs, SLMs and agentic models. Collaborate with researchers and engineers to design production APIs, manage cloud and Kubernetes-based platforms, ensure security and observability, deploy and monitor services, and drive engineering best practices and incident response.

Lead system software prototyping and proof-of-concepts for hardware/software co-designed memory solutions (tiering, pooling, overcommit). Characterize workloads, build reference software, collaborate with hardware and workload teams, influence long-term hardware architecture, and drive solutions toward productization for Azure fleets.

Lead AI software resiliency development, implementing features for reliability and fault tolerance in large-scale AI supercomputers, requiring hands-on coding and collaboration.

The role involves reproducing reported issues, collaborating on root cause analyses, validating product quality, developing scripts and AI-driven tools in a virtualization context.

Design, develop, and deliver scalable software systems and APIs across the full lifecycle. Lead architecture, integrate AI/ML components, implement microservices/serverless and CI/CD, ensure security, observability, and performance, mentor engineers, and collaborate with product and business stakeholders to meet timelines and quality standards.

Build production-grade AI workflows, automations, and voice AI agent systems for internal and customer-facing use. Ship code to production, work cross-functionally with founders and engineers, and design integrations, tooling, and infrastructure that scale company operations and customer experience.

Build production-grade AI workflows, automations, and agent systems to power recruiting, security/compliance automation, finance and onboarding tooling, CRM integrations, and growth automations. Work across product, engineering, and operations to design API-based integrations and LLM-powered systems using modern models and automation tools.

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.

Develop, modify, and execute software test plans; analyze test results; document findings; recommend corrective actions; and collaborate with software, hardware, firmware, product marketing, and engineering teams to deliver features through general availability. The role also contributes to system design and establishes quality practices throughout the product lifecycle.

Develop and field autonomy software for unmanned aerial vehicles on embedded Linux and other edge platforms. Integrate software with autopilots, datalinks, sensors, navigation systems, and ground control stations; build messaging frameworks; perform system bring-up, SIL/HIL testing, live flight tests, troubleshooting, and customer demonstrations. Collaborate with autonomy engineers, defense customers, and UAS vendors to deploy reliable hardware-software solutions.

Lead design and delivery of AI-based systems integrating OpenAI technology across Microsoft. Build, ship, and maintain reliable, observable, and secure software services; collaborate with cross-organizational technical partners; navigate business and technical constraints; write technical briefs; identify and escalate risks to deliver software on schedule.

Design, build, test, and deploy integration, diagnostic, and automation tools and agents for DPU-based platforms. Lead test planning and execution, manage field incidents, maintain dashboards and KPIs, drive cross-functional debugging, and feed learnings back into engineering to improve reliability and releases.

Design, implement, and operate AI platform systems, developer tooling, and Azure integrations. Lead architecture, testing, deployment, and production operations for cloud-scale infrastructure (build/release, Kubernetes, networking, observability, automation, security). Collaborate across teams to define requirements, estimate work, and deliver resilient automation and tooling using Go, Python, and Terraform.

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.

Design and lead development of an agentic, AI-driven auto-bidding platform: architect scalable, low-latency distributed systems; build data quality, experimentation, and simulation frameworks; drive operational excellence as DRI; collaborate with data scientists and ML engineers to deploy and optimize ML-driven bidding in production.

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.

Drive build and release initiatives across a large mono-repo: maintain Bazel builds, CI/CD (Jenkins/Groovy), improve developer productivity, create tooling for code sharing, integrate AI automation, troubleshoot complex systems, and manage branches/releases to support multiple product lines.

Build and maintain onboard networking, data pipelines, telemetry, tooling, and perception-control integration for humanoid robots. Support hardware bring-up, field testing, and cross-team collaboration to ensure reliable data collection and deployment.