Software Engineer Jobs in Santa Clara, CA

The Software Engineer Intern will design, develop, and deploy backend services and APIs, participate in software development activities, write clean code, and troubleshoot issues.

Build and maintain user-facing features using React and TypeScript, collaborate with teams on growth experiments, and improve frontend architecture.

Develop and maintain AsyncMQ Gateway services using Go, collaborate with business teams, optimize high concurrency systems, and support DevOps processes.

As a Software Engineer, you'll design, develop, and debug software solutions for semiconductor equipment, leading technical initiatives and collaborating with cross-functional teams.

Develop and optimize core infrastructure for autonomous driving. Focus on low-latency execution, component health monitoring, and system performance improvements.

Lead architecture and implementation of Tetragon features using Go and eBPF to deliver low-overhead, kernel-aware observability and runtime security. Design high-performance data pipelines, optimize database and distributed system performance, enable fleet deployment across K8s/VMs, collaborate across Cisco teams for integrations, contribute to open-source, and participate in architecture and code reviews to produce production-ready, scalable solutions.

You will design and implement features for NVIDIA's SDK, collaborate with teams, and deepen your knowledge of embedded software and networking technology.

Design and implement CUDA/C++ libraries to accelerate Apache Spark DataFrame and I/O operations, collaborate on distributed multi-node GPU solutions, contribute to open-source projects (RAPIDS, CCCL, UCX), and drive testing, CI, and cross-platform optimization for enterprise deployments.

Research and implement algorithms for trajectory data mining and road network analysis; build proof-of-concept tools to improve the map-building pipeline; perform data analysis and prepare sensor (GPS/IMU, lidar, camera, radar) data; develop software for storing, uploading, accessing, and visualizing 2D and 3D HD maps on NVIDIA platforms for benchmarking and experiments.

The role involves building systems for route planning, optimization, and real-time tracking for fleets, emphasizing scalable backend services and integration with dispatch tools.

The Senior Software Engineer will enhance Kubernetes-native benchmarking services while improving performance and reliability, mentoring junior engineers throughout the process.

The Senior Software Engineer II, AI/ML leads designs, enhances architecture, optimizes multilayer systems, mentors engineers, and ensures service reliability at CoreWeave.

The role involves leading the Observability Insights initiative at CoreWeave, focusing on developing APIs, agentic tools, and improving telemetry for AI systems. Candidates should possess significant experience in backend engineering and observability systems, especially for multi-tenant environments.

As a Senior Software Engineer, you will design metrics, analyze autonomous systems, develop algorithms, and build evaluation dashboards while collaborating with multiple teams to ensure AV quality and performance.

Lead architecture and development of production AI products (chatbots, document processing, agentic workflows) and centralized AI platform components (model routing, provider management, vector search, MCP). Build scalable, cloud-native integrations with accounting systems and external APIs, drive AI system design and context engineering, ensure observability and compliance, and mentor engineers while shaping company-wide AI standards and governance.

Design, develop, and integrate real-time AI/ML sensor algorithms and sensor-control software for heterogeneous autonomous vehicles. Deploy containerized solutions to embedded Linux, perform computer-in-the-loop testing and profiling, support DoD field demonstrations, collaborate across sensor/tracking/autonomy teams, and drive simulation and post-test analysis to improve integrations.

Design, implement, and extend compute debugger tools and libraries for GPUs across Windows, Linux, and embedded RTOS. Collaborate with cross-functional teams, document designs, estimate and prioritize work, perform peer reviews, and mentor junior engineers to improve debugging and performance analysis capabilities.

The Full Stack Software Engineer will design, develop, and ship full-stack features, improving the software for AI-powered robotic systems. Responsibilities include backend and frontend application development, API design, and system architecture refinement.

Drive fleet management solutions for AI infrastructure, focusing on architecture, health monitoring, product life cycles, and collaboration across teams.

Design and develop Zoom Contact Center features using Java and Spring Boot. Build secure, scalable microservices and RESTful APIs on AWS (EC2, ECS, ElastiCache, S3) with NoSQL. Translate roadmap into specifications, implement integrations, and drive cloud-based test automation and deployment strategies to ensure performance and stability.

As an Accelerator Software Engineer, you will develop firmware and software for an ASIC, collaborating on design and implementation across multiple domains, including host-side drivers and microcontroller architecture.

Design, develop, test, and maintain networking systems software (Junos/Junos Evolved) and forwarding ASIC firmware. Implement and debug networking protocols (L2/L3/L4), collaborate with product teams, execute test plans, and communicate progress to stakeholders to deliver reliable networking solutions.

Design and implement a scalable PHY validation framework integrating hardware and software, develop automation and CI/CD pipelines, integrate test equipment and DUTs, monitor performance and diagnostics, document architecture and tests, mentor junior engineers, and collaborate with cross-functional teams to support lab bring-up and post-silicon validation.

The role involves building and maintaining a workflow platform for chip engineering, focusing on automation, configuration systems, and debugging in a Linux environment. Responsibilities include managing workflows, improving diagnostics, and integrating job execution systems.

Design, implement, and evaluate machine learning and deep learning algorithms—especially ASR for live captioning—using C++ and Python. Build and optimize Conformer, RNN-T, Transformer encoder, and beam-search based systems, perform distributed GPU training, testing, debugging, and documentation. Work with large-scale computing frameworks and adapt ML technologies to VR/AR, robotics, and interactive products. Resolve complex problems, define methods for new assignments, and may coordinate other personnel.