Software Engineer Jobs in Santa Clara, CA

Operate, monitor, and optimize large-scale AI compute clusters built on the Wafer-Scale Engine. Develop and own software for cluster operations (monitoring, automation, APIs, dashboards), deploy and debug Docker-based services, troubleshoot distributed systems, maximize compute capacity, and participate in a 24/7 on-call rotation while collaborating cross-functionally to improve operational visibility and reliability.

Lead development and migration to a workflow-as-code management plane (Temporal) to provision and operate a global fleet (100k+). Build idempotent, replay-safe workflows, orchestration-ready platform APIs, AI/ML-driven SRE features, and deep telemetry for explainable, auditable fleet operations.

As a Senior Software Engineer, you'll develop Go-based services for managing large-scale GPU data center infrastructure, focusing on automation, APIs, and monitoring tools.

Develop and optimize trace-driven power and thermal simulation engines, integrate IP-level power macromodels into system-level flows, manage time-indexed simulations across power and thermal domains, generate transient power maps and spatiotemporal hotspot analysis, interface with reduced-order thermal models and CFD-calibrated solvers, and ensure simulation performance, scalability, and reproducibility.

Senior software engineer leading backend and platform architecture across cloud and on-premises deployments. Responsibilities include developing scalable distributed systems, optimizing databases and queries, owning technical roadmaps, resolving production issues, improving security and observability, mentoring engineers, and partnering with product, architecture, UX, cross-functional teams, and customers. The role focuses on security monitoring, threat detection, compliance workflows, and reliable data-processing services.

Architect, develop, deploy, and support scalable APIs, integrations, data pipelines, orchestrated services, and microservices for Matterport’s enterprise business platform. The role involves cross-functional collaboration, customer-facing and internal system integration, production issue resolution, monitoring live environments, and building maintainable, testable software. Candidates should have extensive cloud integration and enterprise application services experience, with expertise in modern object-oriented programming languages and familiarity with UI frameworks, ERP/CRM platforms, databases, containers, and CI/CD.

Lead the design, development, deployment, and monitoring of scalable platform features, APIs, backend services, integrations, and microservices. Work with relational and non-relational databases in a cloud environment, collaborate cross-functionally, promote engineering best practices, troubleshoot production issues, and mentor junior engineers.

Lead quality engineering and test automation for Zscaler's distributed security cloud. Use AI-assisted frameworks to generate and execute test plans, validate bug fixes, and collaborate with developers and product. Support core cloud operations including phased rollouts, feature enablement, alert handling, capacity planning, performance benchmarking, chaos testing, and diagnosing complex distributed failures to maintain high availability.

Lead architecture and development of embedded networking software for surgical robotic systems. Own multi-year technical direction across the network stack, including reliability, low-latency switching, traffic shaping, messaging, session management, Ethernet drivers, and real-time safety-critical paths. Mentor engineers, lead reviews, resolve complex hardware-software failures, guide technology selections, and collaborate across engineering, clinical, and manufacturing teams.

Develops software, algorithms, and infrastructure for automated electro-mechanical equipment used to manufacture and test robotic surgical systems and medical devices. Responsibilities include hardware integration, manufacturing process optimization, validation activities, production software support, software architecture, diagnostic strategy, cross-functional project leadership, and mentoring engineers. The role requires strong software design, system-level thinking, analytical problem-solving, and technical leadership in a regulated manufacturing environment.

Build and support simulation services, integrate physical models into products, develop automated and off-nominal test scenarios, and improve simulation tools through stakeholder feedback. The role contributes to architecture, technical proposals, planning, cross-functional delivery, and mentoring engineers. Strong Python and C++ experience is required, with preferred experience in numerical simulation, statistical analysis, Julia, Linux, Docker, Kubernetes, cloud deployment, Software-in-the-Loop simulation, and CI/CD.

Own the technical vision and multi-year architecture for hyperscale build infrastructure, including build orchestration, containerized environments, remote execution, caching, and reproducible C/C++ builds. Improve build performance, reliability, correctness, and developer experience; establish operational metrics and standards; guide migrations; influence engineering leaders; mentor engineers; and represent build infrastructure expertise across the organization.

Build and maintain end-to-end mobile systems for iOS and Android, shipping production-quality code, collaborating cross-functionally, applying blockchain/crypto knowledge, using AI tools to improve workflows, conducting code reviews, and mentoring and onboarding team members.

Own the embedded Linux platform powering Bonsai Robotics’ field fleet. Responsibilities include OTA updates, fleet provisioning and configuration, observability, Yocto-based OS and BSP maintenance, build and release infrastructure, cross-compilation, and cloud-connected monitoring. The engineer will collaborate across firmware, autonomy, and field operations teams while debugging systems from kernel and hardware layers through cloud services. Experience with robotics, CAN-connected controllers, unreliable connectivity, embedded firmware, and secure software delivery is valuable.

Design and implement real-time MAC data-plane software for high-throughput satellite links. Build packet-processing pipelines, queue and buffer management, retransmission and loss recovery, and integrate with PHY, modem, FPGA, DMA, and SoC hardware. Optimize for low latency and high throughput using zero-copy, scatter-gather, lock-free structures, and hardware offload. Lead architecture through prototyping, hardware integration, performance qualification, and operational deployment while diagnosing timing and synchronization issues.

Design and scale software-in-the-loop testing and simulation pipelines for autonomous vehicle software. Create synthetic scenarios, replay fleet logs, perform permutation testing, verify perception, planning, controls, and mapping, and assess simulator fidelity. Develop automated dashboards tracking safety metrics, coverage, and release readiness. The role requires onsite work five days per week in Santa Clara and collaboration across simulation and autonomy platform teams.

Own enterprise engineering efforts by designing agentic AI workflows, automation pipelines, and integrations across ServiceNow, identity, monitoring, and SaaS systems. Troubleshoot large-scale hybrid infrastructure, resolve incidents, identify root causes, and build self-service solutions. Develop full-stack applications, APIs, dashboards, runbooks, and knowledge resources while mentoring engineers and improving enterprise support through AI-driven automation.

Design and implement low-level Windows kernel and user-mode systems for endpoint telemetry, behavioral detection, and system instrumentation. Develop production-quality WDM/WDF drivers, kernel callbacks, synchronization, and user/kernel communication. Debug kernel crashes, concurrency, and memory issues; analyze Windows internals, scheduler behavior, and cross-version compatibility to improve endpoint visibility and security.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Own quality engineering for high-throughput payment systems by designing automated regression suites, performance and load tests, quality gates, external-system emulators, observability-driven test environments, and AI-assisted testing workflows. Partner with feature teams and product leaders to improve reliability, scalability, security, and transactional accuracy. Mentor engineers, support incident prevention, and embed automated validation throughout the software development lifecycle.

Develop and prototype high-performance CUDA-based deep learning systems and custom kernels. Architect and optimize distributed, cluster-scale training and inference pipelines, analyze hardware-software performance bottlenecks, build profiling and runtime tools, and collaborate with researchers, compiler and driver teams to transition prototypes into frameworks or products.

Lead a portfolio of cloud-native, full‑stack projects and a team of developers to build distributed microservices and regulatory solutions. Collaborate with product managers, mentor engineers, evaluate and write code, and deliver scalable AWS/GCP/Azure-based systems using languages like Java, Python, Go, Node, and Scala with Docker and Kubernetes.

Own and maintain the backend stack: build APIs and services in Node.js, manage deployments with Docker/Linux, design scalable REST APIs with Swagger, collaborate with hardware/frontend teams, and prepare sensor datasets for AI/ML pipelines with an eventual path to Lead AI Engineer.

The role involves building consumer products, optimizing user experience, architecting product infrastructure, and influencing company strategy in a collaborative environment.

Leads Rivet’s warfighting growth and implementation across U.S. Department of War and allied military customers. Owns business development targets, customer execution, defense acquisition strategies, pipeline forecasting, program delivery, team building, and the operating infrastructure needed to scale defense technology programs. Requires extensive defense and national security experience, strong government program sales and execution expertise, and credibility with military, acquisition, and operational stakeholders.