Software Engineer Jobs in Santa Clara, CA

Design, develop, and debug high-performance system software (C/C++, Python) for storage platforms. Own control plane features, driver development, hardware-software integration, firmware management, and L2/L3 networking. Mentor engineers, define hardware interfaces, and ensure high availability for customer deployments. On-site in Santa Clara, CA.

Develop and optimize Linux kernel features and device drivers for enterprise storage arrays. Maintain and patch kernel code, diagnose hardware-software boundary issues, optimize performance (NUMA, interrupts, threading, CPU instruction sets), lead architecture and development from concept to release, mentor peers, participate in code reviews, and collaborate with partners and vendors.

Design and implement high-performance, highly reliable distributed storage systems. Own features end-to-end from design through deployment, solve challenges in distributed consensus, resource management, and data integrity, and collaborate on architecture and code quality to deliver scalable, production-grade platform features.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

Design, build, and modernize full‑stack web applications and microservices for a real‑time event-driven data and visualization platform. Develop and optimize streaming data pipelines (Kafka, Flink, Spark), integrate observability, caching (Redis), and AI agents, and collaborate with hardware verification teams for scalable, low-latency solutions.

Design and implement internal software and data-collection tools for eHDD validation. Build ETL pipelines, web apps, analytics/ML models, and tooling that interface with firmware and low-level system layers. Work across Windows/Linux environments, databases, and distributed systems to automate tests, analyze servo-mechanical behavior, and accelerate HDD product development.

Lead development of Python-based tools and automation frameworks for optical transceiver validation. Automate test execution, instrument control, data collection/analysis, CMIS and EEPROM verification, and support qualification of PAM4, LPO/LRO, and coherent optics for 1.6T and 12.8T platforms.

Design and build scalable automation, testing, and infrastructure for NVIDIA deep learning libraries across platforms. Develop full-stack tools from UIs to cluster and database layers, configure CI/CD, and advance industry-standard tooling to improve build, test, integration, and release workflows.

Designs, implements, and validates autonomous driving software (perception, localization, planning/prediction, or control). Develops ML models and data pipelines, runs simulation and vehicle tests, collaborates with global partners, and optimizes systems for embedded/automotive deployment and safety compliance.

Develop, integrate, debug, and test Cisco Silicon One software and datapath applications. Collaborate with hardware, systems, partners, and customers on networking protocols, system integration, and diagnostics; add features, tests, and documentation to support product quality and customer deployment.

Design and implement DPU-based packet-processing pipelines and SDK integrations. Build firewall, ACL, NAT, tunneling, load-balancing, telemetry and host offload features. Develop across firmware/SDK, host drivers, Arm services, and user-space control. Debug across host/DPU/firmware/kernel boundaries, validate performance and scale, own features end-to-end, and contribute to reviews, documentation, and mentoring.

This role involves ensuring the quality of autonomous vehicle simulation platforms through coding, developing metrics, and automated regression monitoring. Responsibilities include maintaining simulation systems, debugging validation measures, and collaborating with cross-functional teams.

Develop and test embedded and network/security software for hardware and virtual/containerized systems. Collaborate with product, QA, and platform teams to resolve issues, build high-performance networking and security features, and apply basic AI tools to engineering tasks.

The Software Engineer will work on Command Center and Meeting/Webinar product development, provide mentorship, and establish engineering best practices while designing scalable platforms using cloud technologies.

Develop and maintain the Linux kernel in EOS, integrate new CPU support, debug issues, and lead projects. Collaborate with customers and engineers, and mentor junior staff.

The role involves developing Layer1 software for physical connectivity in networking, working with engineers to create new features, and providing technical leadership and support.

Develop and maintain CPU firmware, BIOS, and Boot Loader software. Collaborate with hardware teams, conduct validations, and mentor junior engineers.

The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.

Design and implement deterministic, safety-critical motion planners for autonomous vehicles, ensuring safe operation under uncertainty and degraded perception. Collaborate with diverse teams and conduct large-scale evaluations.

Build infrastructure and tools for large-scale E2E autonomy research. Collaborate with AI teams to productionize self-driving software and scale training aspects.

Design and improve core libraries and frameworks for a developer ecosystem, enhance infrastructure reliability, and collaborate across teams to boost productivity.

Develop a data-oriented frontend UI/UX platform for Defense applications, collaborating with design teams and integrating with systems.

As a Cloud Infrastructure Engineer, you'll enhance deployment, monitor software, and improve CI/CD tooling for large-scale simulations.

Support data preparation, labeling, training workflows, and validation processes for machine learning systems. Execute and monitor ML pipelines, organize datasets, and evaluate model performance.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.