Software Engineer Jobs in San Jose, CA

Design and build scalable data platforms, orchestration layers, and synthetic data pipelines integrating simulations, AI models, and applications. Implement high-throughput, low-latency data APIs and storage, develop agentic orchestration frameworks, and collaborate with research and engineering to translate domain models into production-grade systems.

Develop and support software tools for chip design and verification, optimize workflows, work collaboratively to create high-performance software.

As a Compiler Architect, you'll design and implement a scalable MLIR-based compiler for cloud-based AI inference, focusing on optimizing large-scale AI models and architecting efficient software pipelines for deployment.

As a Principal Software Engineer, you will develop and maintain software kernels for AI hardware, collaborating on full-stack optimization and compiler infrastructure.

As a Software Engineer at d-Matrix, you will design and develop diagnostic tools for AI inference accelerators, enhancing the toolset for hardware validation.

Lead the design and development of embedded software systems, ensuring performance and reliability while collaborating across teams to integrate hardware and software effectively.

Design, develop, troubleshoot, and debug a multi-threaded, distributed physical synthesis core engine for the Innovus Implementation System. Collaborate with a global R&D team and work with product engineers/technical sales to provide engineering solutions and customer workarounds.

Join the Virtuoso place and route team to enhance infrastructure using advanced math, machine learning, and computer science for electronic design innovations.

Design and implement control plane software for network security features using Go and Kubernetes. Build APIs, policy orchestration, integrations, and observability for distributed security platforms while collaborating with data plane and platform teams across Pacific Time.

As a Principal Engineer at eBay, you'll lead backend architecture and systems design, mentoring teams and driving innovation in large-scale distributed environments.

Lead design and implement AI-augmented methodologies and tooling to modernize legacy codebases into cloud-native architectures. Build multi-agent AI workflows for code analysis, logic extraction, and test synthesis. Establish Human-in-the-Loop verification, automated CI/CD and testing pipelines, and ensure secure, performant AI-generated code while collaborating cross-functionally.

The Principal Software Development Engineer will design, develop and automate testing frameworks for embedded instrument software, ensuring quality and compliance across development stages, while collaborating with global teams.

Debugs complex software products through systematic testing, develops and maintains quality standards, writes test procedures, documents results, analyzes failures, and recommends corrective actions. Collaborates with development engineers to resolve issues and supports software integration across scientific computation, data acquisition, and processing systems. May lead small software test projects and serve as a resource for less-experienced colleagues.

Develops and maintains software quality standards through systematic testing of complex software products. Responsibilities include executing tests, writing test procedures, documenting and analyzing results, identifying corrective actions, collaborating with developers to resolve issues, and supporting software integration with scientific computation, data acquisition, and processing systems. May lead small software test projects and provide technical guidance to less experienced colleagues.

Lead end-to-end system software bring-up for NVIDIA DRIVE AV platforms, spanning hardware power-on to production deployment. Develop agentic AI/LLM tools to accelerate bring-up, lead cross-functional debugging and optimization across embedded hardware-software stacks, and align system requirements across teams.

Design, expand, and productize hardware-in-the-loop (HIL) infrastructure and agentic AI tools to scale autonomous vehicle platforms. Lead cross-functional HIL system design across hardware, embedded software, and application tooling, and drive deployment, lifecycle management, and CI/CD integration for mission-critical embedded systems.

Design and implement high-performance Vision AI pipelines and large-scale distributed services for processing video, image, and 3D data across edge and cloud. Build multi-modal perception, use simulation/synthetic data for testing, profile and optimize GPU-accelerated inference, collaborate with research and product teams, drive code quality and reviews, and mentor engineers to productionize vision models at scale.

Design, develop, and optimize embedded Linux platform software including U-Boot, kernel porting, and custom Ethernet/peripheral drivers. Perform ARM board bring-up, debug complex issues, collaborate cross-functionally, and produce design documentation for network timing and synchronization products.

Develop and extend functional and performance test strategies for NVIDIA DriveOS. Build software to automate verification across DriveOS components, collaborate with development and customer-facing teams, analyze defects to the code level, and lead effective fixes. The role requires software development experience in Python or C++, embedded systems and automotive sensor expertise, Linux proficiency, source control experience, and strong analytical and communication skills.

Build and operate internal AI platform services: chat/agent frontends, retrieval over code/docs, AI-native developer workflows, sandboxed execution, model routing, telemetry, and compliance-minded design for regulated aerospace environments.

Design and develop software validation frameworks for SOC systems, improve software efficiency, and conduct debugging for complex system failures while collaborating cross-functionally.

Build scalable backend systems, develop LLM agents, and ensure fast adaptation in a dynamic environment at Sentra.

Design and implement scalable inference systems for AI models, optimizing performance across various platforms while ensuring software quality and integration with hardware teams.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.