Software Engineer Jobs in Santa Clara, CA

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.

Design, develop, and maintain autonomous driving platform and middleware. Integrate vehicle sensors, implement sensor abstraction layers, build data recording/mining and service frameworks, optimize performance and data serialization, improve startup UX, and collaborate with hardware, algorithms, cloud, safety, and platform teams to deliver scalable, high-performance system software for AV fleets.

Lead development and maintenance of node provisioning, OS image build/packaging, and nodepool lifecycle for NVIDIA Kubernetes Engine. Build CAPI providers, BYON onboarding, hardened image pipelines with automated CVE remediation and compliance gating, and automated test suites. Troubleshoot node-layer failures at scale, collaborate with upstream Kubernetes/CAPI communities, and ensure reliable GPU-optimized node operations across large clusters.

As a Software Engineer, you'll develop software solutions for semiconductor equipment, lead projects, troubleshoot complex issues, and collaborate with customers on requirements.

Develop and troubleshoot applications for manufacturing processes, optimizing data collection and system efficiency through software engineering and automation.

The Software Engineer will design scalable ML workflows for AV simulations, develop and maintain simulation frameworks, and collaborate on AI-powered scenario creation and validation.

Design, build, and maintain scalable data processing pipelines and infrastructure (ETL/ELT). Implement large-scale data processing (Spark, MapReduce, Kafka), support stakeholders with analysis and reporting, ensure secure multi-region data handling, and optimize data delivery for analytics and business insights.

Lead validation readiness for NVIDIA PCIe data center GPUs through silicon bring-up, CUDA and driver testing, automation, test infrastructure, defect triage, and release planning. Develop test applications and CI/CD pipelines using Python, C, C++, CUDA, and Bash. Diagnose issues across hardware, firmware, operating systems, drivers, and applications while applying AI-assisted analysis to test results and failure investigation.

Lead design and implement a scalable chassis automation tool that translates SoC architecture requirements into generated RTL, registers, verification collateral, and integration artifacts. Collaborate with architecture, RTL, verification, and integration teams, enable PPA analysis, integrate with front-end/back-end flows, and mentor junior engineers to deliver high-quality automated outputs.

Lead design and development of diagnostics and validation systems for NVIDIA data center server platforms. Drive platform bring-up, hardware validation strategies, root-cause analysis, and diagnostic software across ODMs, CSPs, and field operations. Provide technical leadership, mentor teams, and define diagnostic architecture and roadmaps to ensure reliability and performance at scale.

Design, develop, test, deploy, maintain, and enhance safety-critical GUI and frontend software for the Ottava Robotic System. Build thread-safe C++ and QML applications using Qt, develop unit tests, lead software architecture and major feature design, conduct code reviews, mentor engineers, and collaborate with clinical engineering, human factors, UX, product, and visualization teams.

The Staff Software Engineer role involves leading projects, coordinating engineers, improving processes, and representing PayPal to external partners, focusing on cloud and DevOps responsibilities.

Design and build AI-powered cybersecurity platforms that ingest and normalize massive security telemetry, correlate events, predict threats, and generate explainable findings. Develop Python backend services, distributed storage systems, and AIDevOps pipelines for rapid experimentation. Integrate foundation models, agentic systems, RAG, embeddings, and graph-based models into analyst workflows. Collaborate with product teams, security experts, and engineers to deliver scalable, trusted threat detection and automation capabilities.

Design and build AI-native cybersecurity platforms that analyze large-scale security telemetry, correlate events, predict threats, and generate explainable alerts. Develop scalable distributed systems, data pipelines, AI DevOps workflows, agentic systems, RAG and embedding solutions, and model integrations. Collaborate with security researchers, SMEs, product managers, and engineering teams to create trusted automation and analyst-focused threat detection, investigation, and response capabilities.

Design and build AI-powered cybersecurity platforms that process large-scale telemetry, detect and predict threats, and generate explainable alerts. Develop scalable Python services, distributed data systems, AI DevOps pipelines, agentic workflows, RAG capabilities, and model integrations. Collaborate with security experts, product managers, and engineers to validate AI features and improve analyst workflows for security operations.