Software Engineer Jobs in San Jose, CA

Architect and deliver high-performance C/C++ networking software for enterprise storage platforms. Implement Layer 2/3 features, integrate with ASICs and switch SDKs, enable non-disruptive upgrades, customize SONiC, and lead cross-functional hardware-software efforts while mentoring engineers.

Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.

Design and implement low-level embedded software for x86/ARM platforms in C/C++; collaborate with hardware and software teams to spec, test, and debug vehicle subsystems and sensors (camera, radar, lidar, IMU); work on network devices and time synchronization; perform hands-on hardware bring-up and on-vehicle debugging of buses like I2C, CAN, SPI, UART; ensure reliability and safety for autonomous trucking systems.

Design, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSPs, I/O virtualization, drivers, boot and diagnostics for mixed-criticality NVIDIA SoC platforms. Apply formal methods and safety standards (ISO 26262/21434), optimize platform bring-up, and implement debugging, tracing, logging, and performance-analysis solutions. Collaborate with ASIC, firmware, OS, safety, security, and platform teams.

Lead performance and scalability analysis of the Kubernetes-based accelerated runtime stack, design upstream control-plane changes for hyperscale clusters, optimize container startup and inference latency, advance confidential container performance, model large AI-factory deployments with simulations, build at-scale tests and monitoring, and collaborate with researchers and upstream communities to validate and publish results.

Design and implement cloud-native data management services (catalog, metadata, dataset/checkpoint lifecycle) for exabyte-scale GPU workloads. Build backend systems on Kubernetes and major cloud providers, collaborate with research and cross-functional teams, document architecture, and drive integration with storage/compute innovations (GPU Direct Storage, DPU).

Architect, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSP, boot, drivers, I/O virtualization, and platform software for NVIDIA SoCs. Ensure safety and security compliance (ISO 26262/21434), use formal methods, optimize platform performance, and collaborate with ASIC, firmware, OS, safety, and security teams. Employ AI-assisted engineering tools to accelerate development, testing, and documentation.

Lead design and execution of scalable, automation- and AI-enabled quality engineering strategies. Develop complex test plans and frameworks, apply data analytics to predict and prevent defects, debug and validate complex software systems, drive cross-functional initiatives, and provide technical leadership on product quality and corrective actions.

Design, develop, and maintain Salesforce solutions including Apex, Visualforce, LWC, integrations (REST/SOAP), and CI/CD. Lead technical best practices, troubleshoot issues, collaborate with business partners, document designs, and adopt new Salesforce features and AI tooling to support GTM IT initiatives.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.

Join the AI team to develop and deploy real-time perception and deep learning models for autonomous vehicles. Build and optimize data pipelines, research object detection, segmentation, road understanding, motion prediction, and apply multi-modal sensor fusion for robust onboard perception.

Responsible for building decision-making frameworks for multi-aircraft wildfire suppression, developing algorithms, and ensuring real-time software performance. Collaborates with engineers and firefighters for system validation.

The Senior Software Engineer will develop mission simulation infrastructure, integrating various systems and ensuring safety-critical features for autonomous firefighting operations.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

Lead design and implementation of production-line machine control software and operator interfaces. Architect equipment-to-factory communications, integrate industrial protocols and PLCs, develop C#/C++ GUIs, implement motion and vision systems, build robust automation state machines, perform system/component testing, and maintain documentation and Agile workflows.

The role involves optimizing and developing software for NVIDIA's deep learning inference ecosystem, requiring collaboration and performance analysis on various models and frameworks.

Lead integration of core system software with autonomous vehicle functions, drive vehicle bring-ups and fleet productization, debug sensors and OS/GPU stacks, develop HIL/SIL testing, and architect tooling from root-cause analysis to improve performance and stability.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.

Early-career software engineering roles across systems tools, applications, data analytics, firmware, and systems integration. Design, develop, test, and optimize software and tools, collaborate with hardware and software teams, build data pipelines and dashboards, and develop embedded firmware. Roles support product development, tooling, and integration in storage and systems contexts.

Develop AI agents and software fixes to automate defect intake, triage, assignment, and pipeline handling. Collaborate with QA to reproduce defects, implement timely fixes, and improve AI-driven feedback loops for open-source cloud development.

Collaborate with teams to develop software, write specifications, maintain modules, and troubleshoot issues, while ensuring quality and alignment with business objectives.

Lead development of core client systems and engine-level infrastructure in Unity/C#. Diagnose and fix cross-cutting performance issues, upgrade third-party SDKs, evolve build tooling, produce design docs, scope multi-week infrastructure initiatives, mentor engineers, and drive profiling, optimization, and architecture changes to enable future features.

Design, develop, and maintain instrument-control software and hardware-interface layers for LC/MS and QToF platforms. Build device communication, drivers, synchronization, and real-time data-acquisition systems; integrate with electronics, FPGA, firmware, and embedded controllers; diagnose hardware/software issues; optimize performance, reliability, and deterministic operation; support verification, validation, and long-term architecture decisions.

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

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