Software Engineer Jobs in San Jose, CA

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.

Build scalable, resilient backend microservices in Go; design gRPC/REST APIs; containerize with Docker; deploy and manage services on Kubernetes; implement asynchronous messaging (NATS/RabbitMQ); work with PostgreSQL; drive CI/CD, testing, code reviews, and documentation for greenfield robotics orchestration systems.

Build and productionize AI applications integrating LLMs and vision models into an edge-to-cloud robotics platform. Fine-tune and quantize models, deploy to NVIDIA Orin/Jetson and cloud GPUs, integrate Vector DBs/RAG/agent frameworks, and create data pipelines to collect and version sensor data for retraining.

Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.

The Software Engineer Intern will enhance an event mining framework for data insights, focusing on automating monitoring, CI/CD integration, and data visualization.

Contribute to the development of metrics dashboards by optimizing image/video search indexing, building iterative search features, and creating smart sampling strategies.

The role involves developing and optimizing system software for autonomous driving platforms, integrating sensors, and collaborating across teams.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

Design and implement high-performance user-space datapath and systems software in modern C++. Lead complex systems-level development, optimize for low latency and concurrency, debug and profile performance issues, collaborate across teams, and contribute subject-matter expertise to storage, file system, and distributed system components.

Design and implement reliable userspace infrastructure for long-running engineering workflows on bare-metal Linux. Build state coordination over NFS, orchestration around IBM LSF, modernize legacy codebases (e.g., Perl to Go), and improve performance, observability, and operational tooling for large-scale distributed systems.

We are seeking a System Software Engineer to develop low level GPU testing frameworks. Responsibilities include creating software tools for GPU diagnostics and collaborating with hardware teams to improve validation processes using AI/ML techniques.

The System Software Engineer will develop NVIDIA GPU diagnostic software, collaborating across teams while ensuring rigorous engineering practices and strong problem-solving skills.

Build and automate multi-cloud network provisioning using Ansible, Go, and Python. Implement task engines, integrate VNFs, create CLI/tools, extend configuration models, debug production provisioning issues, and participate in on-call rotation. Work hybrid from San Jose twice weekly.

Lead architecture and build AI-native, agentic-first features for ITSM/ITOM products. Design scalable distributed systems, prototype solutions, validate via experiments, establish architecture patterns, mentor engineers, and drive cross-team adoption to realize customer value in automation, observability, and data-driven workflows.

Design, build, and maintain secure, scalable web applications and APIs using Java/Kotlin and Spring. Collaborate with architecture, security, QA, and operations; implement microservices, event-driven patterns, and REST/SOAP web services; support deployment, audits, and quality processes while following TDD/BDD and corporate standards.

As a Staff Software Engineer at Samsara, you will lead and develop a high performing team, champion company culture, and contribute to the development of IoT platform solutions.

The Principal Software Engineer will design and optimize backend applications/services, improve payment integration, and oversee code quality within AWS.

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.