Software Engineer Jobs in San Jose, CA

This role involves optimizing deep learning inference performance using TensorRT, collaborating on benchmarking, developing new pipelines, and addressing performance issues across NVIDIA accelerators.

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

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

The engineer will derive requirements for safe driving in self-driving vehicles, collaborate on algorithms, and support testing and system design for autonomy.

Collaborate with a team on physical verification to enhance software performance and scalability, requiring strong programming in C++ and research independence.

The Software Engineer will design and build systems for sharded PostgreSQL, collaborate with a team to solve distributed systems challenges, and directly engage with customers to create technical solutions.

As a Software Engineer on the Insights team, you'll develop observability products and enhance database performance monitoring for clients using Vitess, MySQL, and PostgreSQL.

Develop and maintain machine control software for semiconductor manufacturing equipment, integrating communication protocols and collaborating with engineering teams for automation systems.

As a Software Engineer at Applied Materials, you will design and develop complex software solutions for semiconductor components, troubleshoot software issues, document processes, and interface with customers for requirements analysis.

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

Develop and maintain cloud-native solutions, focusing on CPQ and Order-to-Cash, while collaborating with cross-functional teams to deliver high-quality software solutions.

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 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.

Develop AI systems technologies for efficient inference, optimize kernels for AI workloads, and collaborate on deep learning frameworks and libraries.

Build native AI infrastructure for TrueNAS: on-array embedding pipelines, GPU-accelerated inference, AIOps for anomaly detection and predictive maintenance, and integrations with MCP to enable agent-driven workflows and fleet-scale insights.

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

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

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.

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

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 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 a SoC Simulation Engineer, you will create functional models for SoC designs, diagnose firmware issues, and promote virtual platforms for development efficiency.

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