Software Engineer Jobs in San Jose, CA

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Founding Software Engineer will build and enhance crisis-intervention software, focusing on mobile and web applications for government welfare, ensuring compliance and integrating data securely. Responsibilities include feature development, security enhancements, and managing interns.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

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.

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.

Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs.

Develop and optimize software for NVIDIA's autonomous vehicle platform, collaborating with teams and providing technical support for productization.

As a GPU Simulation System Software Engineer, you'll develop infrastructure for GPU simulations, coordinate with architects, and improve workflows for next-gen GPUs.

Contribute to the development of high-performance AI inference software using C++. Collaborate on technology improvements and support testing and documentation efforts.

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.

The role involves defining architecture for NVLink Fusion, collaborating with customers, mentoring teams, and managing software abstraction layers.

Conduct performance analysis on large multi-GPU clusters, evaluate interactions between libraries and hardware, and develop tools for performance visualization and data analysis.

Develop and maintain software for Tegra Diagnostics, including drivers and frameworks to stress SOC systems, while collaborating to improve software efficiency and debugging complex failures.

The Senior Systems Software Engineer will enhance software architecture, modularization, and integration of ADAS systems, ensuring scalability and efficiency within NVIDIA's platform.

Lead design and implement a global public cloud SRE platform for AI and compute workloads. Own architecture and production engineering for observability, cluster health, remediation, lifecycle, secrets, CI/CD, backup/DR, and automation. Collaborate with cross-functional teams to build scalable, reliable multi-region services and run them in production (on-call).

Design and implement developer tools for GPU-based 3D graphics and neural rendering. Improve existing tooling, collaborate with compiler/driver/research teams, write high-performance C/C++ code, document designs, estimate tasks, and develop test plans with QA.

Lead development and migration to a workflow-as-code management plane (Temporal) to provision and operate a global fleet (100k+). Build idempotent, replay-safe workflows, orchestration-ready platform APIs, AI/ML-driven SRE features, and deep telemetry for explainable, auditable fleet operations.

Lead quality engineering and test automation for Zscaler's distributed security cloud. Use AI-assisted frameworks to generate and execute test plans, validate bug fixes, and collaborate with developers and product. Support core cloud operations including phased rollouts, feature enablement, alert handling, capacity planning, performance benchmarking, chaos testing, and diagnosing complex distributed failures to maintain high availability.

Build, test, and maintain software across full-stack, backend, infrastructure, data pipelines, and ML infrastructure to support autonomous trucking. Develop web interfaces, backend services, APIs, and tooling; improve reliability, observability, CI/CD, and deployment; participate in code reviews, debugging, and cross-team collaboration while learning new technologies.

Build and maintain end-to-end mobile systems for iOS and Android, shipping production-quality code, collaborating cross-functionally, applying blockchain/crypto knowledge, using AI tools to improve workflows, conducting code reviews, and mentoring and onboarding team members.

Design and implement real-time MAC data-plane software for high-throughput satellite links. Build packet-processing pipelines, queue and buffer management, retransmission and loss recovery, and integrate with PHY, modem, FPGA, DMA, and SoC hardware. Optimize for low latency and high throughput using zero-copy, scatter-gather, lock-free structures, and hardware offload. Lead architecture through prototyping, hardware integration, performance qualification, and operational deployment while diagnosing timing and synchronization issues.

Develop and prototype high-performance CUDA-based deep learning systems and custom kernels. Architect and optimize distributed, cluster-scale training and inference pipelines, analyze hardware-software performance bottlenecks, build profiling and runtime tools, and collaborate with researchers, compiler and driver teams to transition prototypes into frameworks or products.

Lead a portfolio of cloud-native, full‑stack projects and a team of developers to build distributed microservices and regulatory solutions. Collaborate with product managers, mentor engineers, evaluate and write code, and deliver scalable AWS/GCP/Azure-based systems using languages like Java, Python, Go, Node, and Scala with Docker and Kubernetes.