Software Engineer Jobs in Sunnyvale, CA

Design, implement, and test feedback, control, and actuation strategies for safety-critical autonomous truck systems. Develop vehicle models, characterize dynamics, build redundant and fail-safe control architectures, collaborate across hardware and software teams, and produce requirements, test plans, and integration-level testing.

Design and develop server applications for managing NVLink networks, collaborate on new features, and oversee integration testing and QA.

Define technical vision and architecture for vehicle dynamics simulation. Implement production C++ interfaces, model-selection and parameter-identification workflows, translate control commands to time-aligned motion, validate and calibrate models using measured logs and test data, set standards and release gates, mentor engineers, and collaborate across planning, controls, simulation, and product teams.

Lead design and implementation of a next-generation Resource Manager and AI developer tools. Build scalable, event-driven microservices, improve ML workflow orchestration, model management, and observability. Mentor engineers, drive architectural decisions, collaborate with product and compliance, and take end-to-end ownership for platform reliability, performance, and operations.

The Principal Software Engineer will lead architecture and development efforts for next-generation Data Center products, collaborating with customers and addressing complex technical issues.

The Senior Software Engineer will design and optimize communication libraries for GPU-based computing systems targeting deep learning and HPC, contributing to parallel programming interfaces and system software.

Develop complex software programs and conduct analysis on systems. Create project plans and specifications while determining product requirements and enhancements.

Lead SDET for Netskope's PKI platform: design test strategies, build automation frameworks (Python/PyTest/Selenium), validate certificate lifecycles, TLS/mTLS, OCSP/CRL, APIs and distributed systems, own feature quality through production, run chaos/performance tests, participate on-call, and mentor engineers to improve CI/CD and platform reliability.

Build and operate large-scale ML training infrastructure: distributed GPU training, multi-cluster scheduling, data pipelines (batch & streaming), ML workflows, observability, alerting, and on-call/incident response to ensure reliable, cost-effective model training and releases.

Design, build, and maintain ML infrastructure for model lifecycle: training, optimization, validation, deployment, inference, and observability. Own ML inference and compiler platforms, develop scalable ML pipelines, continuous testing/monitoring, and support deployment to diverse hardware for autonomous vehicles.

Lead architecture and development of production-grade Kubernetes platform capabilities: cluster management, control plane services, fleet lifecycle, provisioning, upgrades, remediation, and automation. Drive technical strategy, cross-team execution, operational reliability, and mentor senior engineers to improve scalability and operability for large-scale AI deployments.

Lead architecture and delivery of OCI's Key Management Service (KMS). Design and implement secure, scalable features integrating HSMs and encryption-at-rest. Drive distributed systems architecture, cross-team collaboration, operational readiness, and engineering best practices for production-grade cloud security services.

Architect and build an enterprise-grade, multi-tenant AI-native workflow platform for agentic automation. Design scalable backend microservices, state-machine workflows, LLM orchestration, observability, reliability, and integrations across multi-cloud environments while mentoring engineers and collaborating with product and platform teams.

Design and implement high-reliability embedded firmware for a satellite user terminal: low-level drivers, beamforming control, networking optimization, thermal and power management, secure boot/OTA, hardware debugging, and RTOS/Embedded Linux integration to enable real-time beam steering and high-throughput communications.

Design, document, and implement Android RIL and modem software features for US carriers (Verizon, Sprint). Collaborate with verification engineers to define test cases, follow up on results, and report status to stakeholders. Support proposal development and customer interactions.

Lead design and implementation of software architecture and code for automated assembly and test systems. Collaborate with hardware engineers on system conception, integrate motion control and machine vision, test and debug modules, install and qualify systems on production floors, and provide production support and troubleshooting.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

As a Backend Software Engineer, you'll develop critical backend systems focusing on APIs, data processing, and infrastructure while ensuring high-quality service delivery and robust architecture.

Lead development of backend systems and integrations to ingest and process large-scale data, design secure multi-tenant SaaS architectures, own APIs and platform work, mentor engineers, author technical proposals, and troubleshoot production issues to minimize downtime.

Lead the technical direction for biller-workflow platforms, define frontend/backend standards, solve cross-team problems (data-dense UIs, bulk operations, unified claim timelines), embed AI where valuable, ensure production reliability and performance, and mentor engineers while partnering with product and design to ship incremental, high-impact improvements.

Design, build, and maintain end-to-end integrations between Commures platform and third-party healthcare systems (EHRs/EMRs). Implement scalable, reliable solutions using LLMs and modern cloud tooling, ensure HL7/FHIR and HIPAA compliance, troubleshoot production issues, mentor junior engineers, and drive integration platform architecture and monitoring.

Lead architecture and delivery of LLM-powered agentic workflows for marketing content creation and publishing. Define quality criteria, evaluation suites, human-in-the-loop review, guardrails, and reliability systems; partner with platform/product engineers and marketing stakeholders; mentor senior engineers and ensure production-grade, observable agent output at scale.

Architect and build an enterprise-grade, multi-tenant agentic workflow platform for CXI: design backend infrastructure, microservices, APIs, state-machine workflows and LLM orchestration; ensure reliability, observability, security, multi-cloud operations; lead cross-functional technical efforts and mentor engineers.

Lead design and ownership of an AI-native web platform: web framework, design system, CMS, CI/CD, infrastructure, rendering and edge delivery. Define architecture and agentic SDLC, build evaluation guardrails, mentor engineers, and drive platform-wide technical alignment and migrations.

Build and scale web platform infrastructure (CI/CD, deployment automation, secrets management, edge delivery) for databricks.com. Implement automated accessibility testing and centralized consent management, unify frameworks into a shared design system, and operate within an AI-native, agent-assisted SDLC to drive platform features to production.