Software Engineer Jobs in Santa Clara, CA

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.

Join the Kernel Reliability team to improve the reliability of compute clusters, assist in debugging, and enhance system tools alongside hardware teams.

As a Senior Software Engineer, you'll design and maintain real-time advertising applications, collaborating with teams to deliver high-quality software while promoting best practices and innovation in the advertising domain.

Design, prototype, develop, and debug software for semiconductor equipment. Provide reliability and performance engineering for CIM products, automate test methodologies with AI tools, perform root cause analysis, develop documentation and test procedures, conduct proofs-of-concept, and communicate with internal/external stakeholders.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.

The Software Engineer will design and develop applications, support software installations, participate in testing, and work in a DevOps environment. Responsibilities include data mining and implementing high-availability services.

Design, develop, and optimize core AV platform software including sensor drivers, data streaming/recording, GPGPU-accelerated processing, and vehicle interfaces. Collaborate with vendors, perform in-vehicle testing, and support large-scale data collection to deliver low-latency, high-performance autonomous vehicle software.

Design and develop software solutions for data center servers, focusing on Linux kernel modifications, device drivers, and system optimizations while directly collaborating with Cloud Service Providers.

Lead the architecture and optimization of automotive platform software, collaborating with hardware and software teams to improve performance and reliability while mentoring engineers.

The role involves developing NvSci software for cross-platform integration, enhancing APIs, optimizing performance, and ensuring automotive safety standards, while leading complex system feature development.

Lead integration and productization of NVIDIA DRIVE autonomous vehicle platform software. Architect platform software, tools, and filesystem customization, enable automated build/test/release workflows, and debug application-to-kernel issues on embedded hardware while coordinating cross-functional teams and engaging customers to meet production release timelines.