Software Engineer Jobs in San Jose, CA

Lead design and standardization of CI/CD platforms (primarily GitHub Actions) and Terraform-based IaC. Build reusable workflows and modules, enforce security and compliance, optimize pipeline performance and observability, enable self-service provisioning, drive SDLC improvements, lead cross-team migrations, and mentor senior engineers to improve developer productivity and reliability.

Design and implement map fusion and motion planning software for autonomous vehicles. Build data pipelines, integrate HD maps with real-time perception, deploy DETR-style BEV mapping networks, develop trajectory generation and optimization, create anomaly detection for map reliability, and optimize low-latency, multi-threaded C++ runtime for safety-critical planning systems.

Develop and implement core motion planning and decision-making systems for autonomous vehicles, including geometry and velocity planning, trajectory optimization, scenario modeling, cost design for trajectory ranking, system analysis and debugging, and cross-team collaboration with Perception, Prediction, and Control.

The role involves designing and developing VLSI CAD software, collaborating in agile practices, and advancing design tools for chip development.

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.

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, 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.

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 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.

Design, implement, and operate full‑stack features for an AI infrastructure portal. Own components end‑to‑end across frontend, backend, and data layers; improve reliability, performance, and observability; collaborate with product, design, and ML stakeholders; participate in code/design reviews, testing, on‑call, and CI/CD practices.

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.

The Software Engineer will manage data collection for AI model training at Speechify, optimizing cloud infrastructure and dataset quality.

Build and maintain internal tools, dashboards, and automations to improve program management and engineering productivity. Integrate data from Jira, GitHub, spreadsheets, chat and CI systems, debug workflows, ensure data hygiene, provide user support and runbooks, and automate reporting, risk/dependency tracking, and release readiness.