Software Engineer Jobs in Sunnyvale, CA

Develop and maintain web applications using JavaScript, HTML5, and CSS. Build with JavaScript MVC frameworks (Ember.js, jQuery), SASS, and Git. Integrate RESTful APIs, produce documentation and well-commented code, collaborate with designers, and work independently on projects.

Develop software to manage a fleet of Linux systems. Requires Linux internals, release/change-engineering development, C-like large-scale programming (C99), OpenSSL, Git/Gerrit, and use of Linux toolchain (gcc, make, rpm). Knowledge of systemd and sysv init required; AIX init is a plus.

Develop Linux system software in C with knowledge of the Linux boot process. Work on RPM-based distros (Red Hat/OEL), systemd and sysvinit, and OpenSSL; Golang and cross-platform experience are nice-to-haves.

Troubleshoot and resolve customer issues by collaborating with customer service and technical teams. Develop and maintain web applications using Perl, front-end technologies (HTML/CSS/JavaScript), shell scripting on Linux, and SQL. Use JIRA, Git, and Apache for issue tracking and deployment support.

Develop embedded real-time systems software for autonomous vehicle safety services. Optimize solutions for performance and compliance while collaborating with multifaceted teams to integrate technologies into NVIDIA's self-driving platform.

The role involves building and modernizing the RTL-to-GDS flow infrastructure for semiconductor design, improving EDA tool automation, and ensuring system resilience while debugging and collaborating with design teams.

Develop and improve C++ systems interacting with hardware sensors, build scalable data pipelines, and design deep learning algorithms for chemical data insights.

The role involves deploying and optimizing LLMs, designing the ML serving stack, and ensuring high-performance GPU services for production readiness.

Design and develop software for Wi-Fi access points, collaborate with hardware teams, and enhance firmware for new devices while resolving technical issues.

Design, build, and optimize cloud infrastructure and deployment systems. Improve IaC, CI/CD, GitOps workflows, observability, and tooling to enhance scalability, security, and operational efficiency across cloud platforms.

The Software Engineer will design and enhance software products for Financial Services, collaborate with teams, and resolve technical issues.

Lead SoC and platform bring-up for edge AI products, owning Linux system software roadmap, developing and debugging bootloaders, kernels, drivers, and factory provisioning tools. Coordinate cross-functional teams, run execution reviews, track risks and schedules, analyze lab/factory/field data to improve stability and yield, and mentor junior engineers to scale delivery.

Design, develop, and validate SoC and GPU boot and security firmware across automotive, embedded, and data center platforms. Participate in pre-silicon simulation/emulation through silicon bring-up, debug and resolve boot stack issues, and collaborate with architecture, software, and hardware teams to improve next-generation NVIDIA SoCs.

The Software Engineer, Developer Productivity will design and optimize build systems, CI/CD pipelines, and developer tools to enhance engineer workflows and leverage AI productivity tools.

Design and implement MAC control-plane software for satellite point-to-point and point-to-multipoint links. Develop schedulers, admission-control, state machines, QoS, flow control, and link-adaptation logic. Define interfaces to PHY/modem/hardware, evaluate centralized vs. distributed architectures, build simulation and test capabilities, and lead development through hardware integration, qualification, and deployment.

Design and develop software for networking platforms, focusing on embedded systems and device drivers, collaborating with hardware and software teams.

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.

Develop and support firmware and embedded software for data acquisition and instrument control of laser-based measurement platforms. Integrate DAQ hardware, build communication interfaces, automate calibration/testing, debug real-time performance, and support prototype-to-production system integration.

Build and maintain automation for bare-metal cluster deployments: provisioning, configuration, validation, and operational handoff. Convert manual steps into tested pushbutton workflows, troubleshoot Linux, networking, storage, and Kubernetes issues, and add observability and health checks to improve deployment reliability.

Build and maintain the inference orchestration layer across datacenter clusters. Design and implement highly available, low-latency systems, define platform direction (Kubernetes CRDs/operators), lead production incident response, optimize performance and capacity, drive observability and security, and collaborate with ML, product, and cloud teams to productionize scalable inference services.

Build and maintain CI/CD pipelines and artifact lifecycle systems, provision and optimize cloud (AWS) CI infrastructure, troubleshoot build and pipeline issues, improve developer tooling and build/test infrastructure, support code review/workflow improvements, participate in on-call incident response, and contribute to AI tooling to boost engineering productivity.

Design and implement embedded and system-level software for the Wafer Scale Engine, including Linux BSP, administrative services, hardware monitoring, debugging, and cross-team collaboration to improve reliability, observability, and operability at datacenter scale.

Design, prototype, and productionize applied AI/ML solutions for simulation and engineering workflows. Build high-performance inference pipelines, fine-tune and optimize multimodal and 3D models, integrate models into simulation or perception stacks, and lead projects end-to-end while collaborating with simulation, data, and engineering teams.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

Build and maintain production-grade Python ETL pipelines, data models, and integrations. Apply agentic AI workflows for automated data engineering and root-cause analysis. Work directly with customers to integrate and deploy the platform, translate data requirements into technical solutions, and document feedback for product improvements.