Software Engineer Jobs in San Jose, CA

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

Develop and maintain components of a functional simulator for Cisco SiliconOne ASICs. Implement features per architecture specs, collaborate with ASIC architecture, software, and hardware teams, and participate in troubleshooting, testing, and validation. Apply industry best practices in model development and integration while learning from senior engineers.

Design and build the Neki control plane to provision, scale, and heal sharded PostgreSQL clusters. Implement high-availability, disaster recovery, backup/restore, and migration tooling. Operate distributed, fault-tolerant services on Kubernetes, participate in on-call rotations, and work with customers to translate workloads into platform improvements.

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.

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

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

Develop software solutions for reactor design and analysis, optimize data storage, and build tools for engineers at Oklo, a nuclear startup.

You will port models to new architectures, optimize runtime and communication layers, and develop performance profiling tools for inference operations.

Build critical infrastructure and custom applications, collaborate cross-functionally, and address operational challenges with a strong focus on delivering production-level code rapidly.

As a Senior Staff Software Engineer, you will develop and maintain AI deployment software, optimizing hardware-software co-design, and work closely with various experts to enhance infrastructure.

Develop and deliver CUDA driver features across pre-silicon simulation, silicon bring-up, and production software. Collaborate with hardware and software teams to design, implement, test, and stabilize GPU compute and graphics functionality across multiple operating systems.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

Develop, debug, and harden kernel-mode GPU and SoC system software across design, emulation, bringup, and production. Focus on performance, power optimization, robustness, and cross-team collaboration for datacenter, desktop, workstation, and console platforms.

Lead development and integration of instrumentation software for digital pathology and robotic systems. Design scalable C#/C++/.NET/Linux applications, develop firmware, implement unit/subsystem/integration tests, collaborate in Agile teams, mentor engineers, prototype new systems, and drive reuse of shared architecture components to deliver high-quality diagnostic products.

Develop and deploy AI agents and agentic workflows to automate test execution and scheduling. Implement MCP integrations, build Ansible playbooks, maintain test environments and lab equipment, run automation, triage failures, and report results.

Own cloud software and data platform services end to end, including architecture, APIs, data models, pipelines, production operations, monitoring, incident response, and reliability. Build scalable systems for sensor-generated data, use AI-assisted development tools, mentor engineers, and collaborate with product managers to turn ambiguous requirements into production software. The role requires strong backend or full-stack engineering, cloud infrastructure experience, and ownership of systems from prototype through production.

Develop Java-based REST services and APIs for the Low/No Connectivity project. Implement service endpoints, write unit tests, fix defects and enhancements, participate in design/code reviews and Agile team ceremonies, and mentor junior engineers.

Work on an agile team to design and implement an iOS SDK for third-party developers. Develop interfaces, write unit tests, and collaborate with a tech lead, testers, and team members to deliver production-quality SDK components.

Develop and maintain datapath software using C/C++ for high-performance networking on Linux. Work with IP protocols (TCP/UDP), packet routing, drivers, and system configuration. Optional contributions to OpenStack/Neutron plugins, virtualization (VMware/NSX), DPDK or other packet I/O SDKs, and security tools (IDS/IPS, firewalls).

Implement and enhance Android applications for wearable devices: translate product requirements, design and maintain mobile architecture, add customer-specific features, optimize security, performance and scalability, participate in code reviews, collaborate across teams, and support testing and deployment.

Lead architecture and technical strategy for Cisco's Identity platform: design scalable, secure distributed systems, drive cross‑domain initiatives, influence executives, mentor senior engineers, and represent Cisco externally.

Design, implement and verify boot firmware for flagship CPU SoCs. Define and decompose functional and safety requirements, perform FMEA/DFA, validate on pre-silicon simulation, support silicon bring-up and productization, and collaborate across teams to meet safety and security standards.

Design, deploy, and operate large-scale workflow orchestration platforms (Argo/Airflow/hybrid) for simulation, ML training, data pipelines and CI/CD. Build SDKs, abstractions, and self-service tooling; ensure reliability, observability, cost-efficiency, GPU and cross-cluster scheduling on Kubernetes across cloud and on-prem; integrate with storage, streaming, registries, and CI/CD; document best practices and mentor engineers.

Build and operate core control-plane services for Lambda's GPU cloud: APIs, orchestration, schedulers, and host lifecycle workflows. Improve reliability, observability, deployment readiness, testing, and operational tooling. Debug production issues across distributed systems, partner with cross-functional teams, contribute to architecture and runbooks, and mentor engineers.

Build and operate core control-plane services for Lambda's GPU cloud: APIs, orchestration, schedulers, and bare-metal lifecycle workflows. Improve reliability, observability, testing, and on-call readiness; debug distributed production issues; collaborate across infrastructure, networking, fleet, security, and product teams; contribute design, code reviews, and mentoring.