Software Engineer Jobs in Santa Clara, CA

Design, build, and optimize multi-hop data center fabrics for large-scale AI inference. Work across userspace, kernel, drivers, ASIC SDKs, firmware, and optics to tune latency, bandwidth, and reliability. Lead fabric bring-up, telemetry, automation, validation, and operational best practices while mentoring teammates and partnering with hardware, platform, and manufacturing teams.

Develop AI-powered agentic workflows and intelligent automation to improve build, CI/CD, release management, and developer productivity for NVIDIA DRIVE OS. Build LLM-native solutions (RAG, prompt engineering, tool calling), integrate AI with build and DevOps tools, detect and remediate build failures, and collaborate with engineering teams to modernize workflows and set technical standards.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

Design, develop and verify next-generation GPU kernel drivers and embedded software. Collaborate with hardware and software engineers to identify and resolve performance bottlenecks for datacenter and gaming workloads. Communicate and coordinate with global teams to deliver production-quality system-level features.

Senior back-end engineer for CrowdStrike Identity product. Build and scale cloud-deployed, distributed systems, design architecture, mentor junior engineers, collaborate with UI and Sensor teams, manage priorities, drive data-informed decisions, and communicate effectively across the organization and with senior leadership.

Design, develop, and verify next-generation GPU driver and embedded software features. Diagnose and resolve performance bottlenecks for datacenter and gaming workloads. Collaborate with global hardware and software teams to deliver scalable, reliable GPU system-level solutions.

Design, build, and operate large-scale observability and telemetry platforms with focus on performance, availability, automation, capacity management, monitoring, incident response, and lifecycle support. Improve reliability through tuning, automation, on-call participation, postmortems, and tool development to maintain GPU cloud services at scale.

Design, build, and maintain production platforms and services that automate and operate CoreWeave's network (config generation, provisioning, workflow automation, observability, CLIs/APIs). Lead technical direction, plan multi-month projects, write high-quality Python and Go software, define SLOs/SLIs, reduce manual toil, participate in on-call, mentor engineers, and collaborate across Network, Observability, Fleet, and HPC teams.

Develop and modernize a Windows GUI application: implement a resizable main dialog, responsive controls and fonts, persist settings on exit, ensure HPE-compliant UI elements, and perform additional GUI-related enhancements using WinAPI, MFC, C/C++ in Visual Studio.

As a Software Engineer II, you will build and scale AI-powered compliance systems, design and develop RESTful APIs, and mentor junior engineers while managing end-to-end feature ownership.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

Develop and maintain EDA tools for transistor-level analysis. Enhance architecture for timing analysis and implement machine learning technologies for improved solutions.

As an MLOps engineer, you will develop optimized data pipelines, enhance data engine architecture, and integrate foundation models while working closely with DoD customers.

The role involves designing, developing, testing, and optimizing software for NVIDIA's SoCs, focusing on performance enhancements and addressing architectural bottlenecks. Responsibilities include competitive analysis and driving performance optimizations across software products.

Seeking Embedded Software Engineer to develop high-reliability real-time systems using Modern C++ and Python. Responsibilities include writing drivers, debugging hardware interfaces, and ensuring resilient design.

As a Senior Performance Characterization Engineer, you will develop performance analysis tools for a custom ML accelerator, improving understanding of workload behavior and optimization. Responsibilities include tool architecture, data collection, performance analysis, and collaboration with various engineering teams.

Design, implement, and optimize Intel's neuromorphic AI compiler and runtime. Build tooling for performance analysis, verification, debugging, and optimization. Integrate the software stack with robotics and edge AI ecosystems. Collaborate with hardware, compiler, and systems teams and external customers to deliver production-grade, high-performance software.

Develop demo applications for Mac and iPhone, create user-space libraries, and build command-line tools to control drivers and device firmware/hardware. Work primarily on Apple platforms using Objective-C/Swift, with C/C++ development; Python is a plus.

Bring up, benchmark, tune, and debug large-scale distributed LLM training and inference on multi-GPU/multi-node NVIDIA platforms. Build benchmarking, automation, triage, and failure-attribution tooling; perform root-cause analysis and deliver data-driven performance recommendations.

Design, implement, and maintain TT-Fabric, a low-level high-performance networking library for large-scale AI clusters. Build scalable communication protocols, optimize synchronization and data movement for thousands of processors, integrate APIs with AI and hardware teams, and help define the distributed systems architecture to maximize hardware performance.

Lead design and implementation of Switch Abstraction Interface (SAI) software for network switches, align SONiC models with SAI goals, drive architecture, optimize performance and serviceability, represent Cisco in the SAI open-source community, and mentor engineers while collaborating with hardware teams.

Design, build, extend, test, deploy, and maintain a centralized CI/CD infrastructure for open-source accelerated computing projects. Collaborate across teams, define CI/CD best practices, debug production issues, support other teams, and mentor junior engineers while setting technical direction and standards.

Develop and maintain high-performance Linux sensor components in C/C++ to secure containerized cloud workloads. Design and implement eBPF-based features, ensure reliability and performance, debug and test at scale, collaborate across teams, lead container and orchestrator security initiatives, and participate in code reviews and CI/CD practices.