Software Engineer Jobs in Sunnyvale, CA

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Build foundational lakehouse infrastructure for exabyte-scale AI data environments. Responsibilities include metadata and transaction systems, table maintenance, schema and partition evolution, snapshot isolation, compaction, clustering, file-layout optimization, object-store performance, columnar-format optimization, and query performance across major lakehouse engines. The role also involves debugging distributed systems, implementing compression and data-efficiency algorithms, and contributing to open-source or research efforts.

Design, develop, and deploy resilient, low-latency microservices and event-driven solutions for Zscaler’s cloud security control plane. Own services from API tiers through backend systems, modernize platforms using API-first architecture, maintain coding quality through reviews and TDD/BDD, and collaborate with Product, DevOps, and architecture teams. Use Docker, Kubernetes, cloud platforms, distributed data patterns, databases, and AI-powered engineering tools to build scalable systems.

Design, build, and operate large-scale observability services for monitoring, logging, alerting, tracing, metrics, and real-time data processing. Own distributed tracing, data collection, cloud-native infrastructure, AI workflow instrumentation, and AI-driven anomaly detection. Partner with product teams on SLOs and production readiness, evaluate emerging technologies, maintain data quality, and participate in on-call support.

Build and own full-stack features across patient, clinician, and operational healthcare products. Responsibilities include architecture, scalable coding, testing, CI/CD, code review, technical discussions, stakeholder collaboration, and mentoring. The role requires daily use of AI coding tools and ownership of projects from ideation through rollout. Experience with healthcare, EHR integrations, regulated domains, or consumer startups is beneficial.

Architect and lead large-scale AI, ML, backend, data, and GenAI systems powering Microsoft 365 Copilot. Set technical direction, design LLM architectures, drive engineering quality and reliability, collaborate with research and product teams, build developer tools and frameworks, and mentor engineers while delivering secure, scalable production systems.

Design, build, deploy, and operate cloud infrastructure and scalable I/O systems for scientific computing, physics simulations, AI workflows, and data-intensive workloads. Optimize compute, storage, and network architectures across CPU and GPU environments. Develop algorithms, debug systems and third-party code, and improve performance across distributed systems, operating systems, kernels, compilers, and parallel-processing frameworks while collaborating independently across teams.

Build scalable evaluation, introspection, visualization, and metrics tools for autonomous vehicle machine learning models. Develop workflows processing billions of examples and connect offline evaluation with data, training, simulation, and launch decisions. Collaborate with modeling, data, infrastructure, and validation teams to improve model performance, safety, reliability, and development speed. Responsibilities include software design, implementation, maintenance, code reviews, and production tooling across backend, frontend, and data infrastructure.

Build an agent evaluation platform for multi-step enterprise AI agents. Responsibilities include scalable evaluation orchestration, scheduling, retries, isolation, versioned datasets, observability and OpenTelemetry tracing, trajectory modeling, fault attribution, stateful simulations, API contract testing, and reliable measurement signals for optimizing and gating agent releases.

Design and build cloud governance systems spanning IAM, security controls, compliance enforcement, and software supply-chain security across AWS and GCP. Translate regulatory requirements into automated controls, develop SAST/DAST and secure CI/CD tooling, operate reliable distributed systems, contribute to security roadmaps, and collaborate across infrastructure, security, compliance, and engineering teams.

Design, develop, and optimize high-performance networking and security systems for Zscaler’s cloud-native Zero Trust platform. The role involves Linux kernel networking, troubleshooting complex data-path issues, system design, automation, unit testing, compliance with federal certifications, and collaboration with architects, product managers, customers, and solution architects. The engineer will also mentor junior team members and help integrate AI/ML-driven capabilities to improve networking performance and threat detection.

Lead architecture and hands-on development of a self-service infrastructure orchestration platform for deploying services across clouds and regions. Design durable distributed workflows with dependency management, approval gates, safe retries, recovery, security, telemetry, and auditability. Apply AI-assisted engineering with human oversight, mentor engineers, lead cross-team reviews, and partner with Azure and Microsoft 365 teams to improve buildout efficiency and reliability.

Leads architecture and development of NVIDIA’s network visibility platform, integrating topology, configuration, telemetry, active measurement, change intelligence, and self-service tools. Builds authoritative network models, defines observability and measurement strategies, establishes data contracts and quality standards, and delivers health, path, and blast-radius insights. Drives cross-functional roadmaps, build-versus-buy decisions, operational tradeoffs, and technical mentorship across large-scale infrastructure systems.

Develop high-fidelity, real-time hardware emulation software for TeraWave satellite systems. Responsibilities include creating device drivers and hardware models, integrating vehicle simulations with emulation platforms, developing automated tests, validating emulated systems against flight hardware, and debugging software-hardware interface discrepancies. The role requires embedded systems, real-time operating systems, C/C++, Python, digital communication protocols, and hardware-in-the-loop simulation experience.

Design, build, deploy, and scale distributed cloud systems for NVIDIA GeForce NOW. Develop backend services and microservices, optimize reliability and performance, drive automation, monitoring, and infrastructure improvements, and build scalable test harnesses. Influence architecture and technology choices while collaborating across teams, mentoring engineers, and promoting technical excellence and operational ownership.

Build backend services and low-latency voice pipelines for AI agents handling healthcare calls. Develop call orchestration, conversation state, tool execution, EHR integrations, scheduling workflows, and real-time telephony, ASR, LLM, and TTS systems. Establish APIs, data models, event-driven workflows, observability, reliability, and release standards while partnering with AI, product, and operations teams. Mentor engineers and deliver production features from the Mountain View office.

Lead a team developing graphical user interfaces for Intuitive’s da Vinci robotic surgery systems. Design and implement embedded C/C++ interfaces using Qt, guide UI architecture and tool selection, collaborate with designers and multidisciplinary engineers, and support development from prototyping through production, verification, debugging, and maintenance. The role also involves evaluating new UI technologies, including 2D and 3D graphics frameworks, while mentoring software developers and maintaining high development standards.

Set technical direction for a high-traffic biller-workflow platform supporting claims, appointments, payments, posting, and billing operations. Lead full-stack architecture, multi-team platform rebuilds, frontend performance, API and PostgreSQL optimization, observability, AI workflow integrations, code reviews, technical standards, and mentorship. Partner with clinicians, billing operators, product, and design while maintaining reliable enterprise production systems.

Develop and lead scalable automated testing solutions for endpoint and network security clients across Windows, macOS, and mobile platforms. Build Python-based functional, regression, security, performance, and load testing automation; collaborate with development and design teams; establish quality processes; replicate customer environments; identify release risks; troubleshoot issues; and own release quality and processes.

Lead the architecture, integration, development, and verification of embedded vision software for next-generation surgical robotics. Responsibilities include integrating cameras, image sensors, FPGA/ISP pipelines, and multi-processor systems; debugging end-to-end imaging issues; developing simulation and diagnostic tools; managing illumination controls and risk analyses; supporting regulated medical-device development; and mentoring vision engineers.

Build and test Marvis Minis across embedded firmware and cloud services. Develop Minis features, author network/application validation tests, debug cross-layer issues spanning AP firmware to cloud data pipelines, extend platform to additional devices, and maintain cloud processing components (Storm, Airflow, Kafka, Redis, Elasticsearch). Collaborate with firmware, data science, QA, and operations and participate in production rollouts and incident response.

Lead design, implementation, and automation of large-scale cloud and data center test infrastructure. Develop CI/CD pipelines, validate performance, scalability, and reliability, debug clusters (network, storage, security), manage Kubernetes and cloud environments, leverage AI tools to accelerate testing, and coordinate cross-team bring-up and issue resolution.

Build and scale the platform powering Wayve’s data flywheel and foundation-model stack. Responsibilities include developing large-scale data curation, enrichment, evaluation, training, and serving infrastructure; implementing distributed processing, vector search, lakehouse, dataset versioning, and annotation systems; and transforming manual workflows into reliable self-service products. The role requires production ownership, observability, testing, on-call support, and close collaboration with Applied Scientists and ML Engineers.

Lead design, development, and delivery of automotive infotainment HMI software. Define architecture, coordinate cross-functional and supplier teams, mentor engineers, enforce quality and safety, drive Agile program delivery, and manage resources, budgets, and stakeholder relationships to release scalable, reliable infotainment products on time.

Design and own large-scale simulation evaluation pipelines and metrics to validate autonomous driving software. Lead cross-functional integration, invent methodologies to quantify simulation trustworthiness, drive technical roadmaps, and present results via dashboards to inform release and safety decisions.