Software Engineer Jobs in Santa Clara, CA

The Diagnostic Software Engineer will design, develop, and validate embedded diagnostic software, ensuring system reliability and integration, while debugging hardware/software interactions.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

Lead the design and architect wireless protocols for satellite communications, focusing on high-performance and efficient resource management for connectivity in space. Mentor engineers and ensure integration between software and hardware protocols.

Implement SMS chat for Zoom Contact Center, design architecture, troubleshoot production issues and enhance features, focusing on technical feedback.

The Software Engineer II will support R&D through problem analysis, debugging, and developing new features to improve synthesis results in electronic design.

The role involves leading a technical roadmap for modernizing enterprise platforms, developing resilient microservices solutions, and driving quality coding practices. Responsibilities include collaboration with product teams and managing service lifecycles using container technologies in cloud environments.

The Staff Software Development Engineer will design software, write code, refactor existing code, and collaborate with teams to drive product requirements and resolve customer issues.

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.

Lead the modernization of enterprise platforms using microservices architecture, ensuring high-quality, resilient solutions while mentoring teams and collaborating across departments.

The Staff Software Engineer will architect future platform capabilities, drive technical strategy, mentor engineers, and ensure scalable, resilient systems for FloQast applications.

As a Staff Engineer at Zscaler, you'll lead functional, system, and automation testing, enhance automation coverage, and manage Federal cloud processes while resolving complex issues and contributing to team growth.

Lead a team of developers in creating cloud-based solutions using modern technologies, while mentoring peers and collaborating with product managers.

The Senior Software Engineer will lead the architectural and technical vision for simulation tooling, focusing on Python SDK development, mentoring engineers, and improving performance and infrastructure for autonomous driving technologies.

Develop system-level software for wireless broadband networks, collaborate with backend engineers, and troubleshoot large-scale deployments.

As a PCIe Software Engineer, you'll manage high-speed communication between hardware components, modify PCI drivers, tune parameters, and develop tests using C, C++, and Python.

The Systems Software Engineer will design and maintain software systems for scientific instrumentation, optimizing components on Linux and using Python, while collaborating on Agile development projects.

Lead the development of Terra AI's backend system, collaborate with AI and ML engineers, and manage feature development and deployment. Build application pipelines and support team hiring.

The role involves developing the Insights platform, focusing on data ingestion, query infrastructure, analytics, and data governance for physical AI applications.

As an Android Platform Engineer, you will develop Android middleware systems and collaborate across teams to drive vehicle intelligence and software delivery.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.