Software Engineer Jobs in Santa Clara, CA

Develop secured enterprise wireless products and features, perform Linux kernel and driver development for WiFi chipsets, implement WiFi security protocols, participate across the software development lifecycle, and collaborate with a team of embedded software engineers to deliver product launches and features.

Senior engineering role to design, implement, and maintain networking software and core systems. Hands-on development, debugging, integration of 3rd-party and proprietary code, REST API work, multi-process/thread programming, and collaboration with cross-functional teams to deliver high-quality features on schedule.

Develop and maintain scalable, cloud-native networking and security software. Implement features, fix bugs, optimize management/control/dataplane systems, and collaborate with DevOps and QA to deliver high-quality, containerized products.

Build and maintain developer platforms, CI/CD automation, and high-availability solutions. Develop services and tooling in Python/Go/Rust, extend CI frameworks (e.g., Jenkins), apply Linux fundamentals, embed security into pipelines, drive capacity planning, automate vulnerability remediation, and implement observability, incident management, and on-call practices to improve delivery velocity and reliability.

Develop and deliver end-to-end software integrations in C/C++ across software and hardware for automotive systems. Collaborate with hardware and electrical teams, design and bring up test rigs, perform on-vehicle validation, debug and troubleshoot integrations to meet customer requirements.

Design and implement real-time embedded C software for vehicle platforms, integrate vendor components over vehicle buses (CAN, LIN, I2C, SPI, UART), support hardware bring-up and low-level SoC debugging, develop RTOS applications, and collaborate cross-functionally to productionize and maintain products.

Design, develop, and maintain high-performance distributed storage software and protocols (file, block, object). Integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance and scalability, troubleshoot production data centers, collaborate with networking, compute, control plane and observability teams, and lead/mentor engineering teams.

Develop and maintain BIOS and firmware for CPU systems, ensuring software quality and reliability. Collaborate with hardware engineers and mentor junior engineers.

Develop and maintain Linux Kernel features for EOS, collaborate with hardware engineers, mentor juniors, and ensure quality deliverables.

Develop optimization engines for VLSI physical design at NVIDIA, focusing on algorithms in C++ for timing optimization, with significant hardware and software collaboration.

Develop and support RTL generation tools, automate workflows, enhance algorithms in C++ for logic insertion and Verilog processing, and improve tool quality.

The Sr Software Engineer will design and implement software applications and algorithms for robotic systems, ensuring reliability and scalability while collaborating with cross-functional teams in a medical context.

The Senior Software Engineer will lead software development for safety critical systems, collaborating with cross-functional teams to design, test, and validate software for an experimental airship, from concept to flight.

The Senior Software Engineer will enhance mapping infrastructure, develop large-scale map systems, optimize performance, and collaborate with cross-functional teams.

Design, develop, test and maintain data-forwarding and offload features for Ethernet switches and SmartNICs. Implement routing, ACLs, QoS, NAT, VxLAN-EVPN and other network functions, collaborate with architects, QA and support, and lead multi-functional teams on large feature development and delivery.

Lead development and adoption of Warp by implementing CUDA C++ and Python integrations, turning CUDA features into supported functionality, integrating CUDA-X libraries, partnering with internal teams for production integration, and designing APIs and abstractions to expand simulation, optimization, and AI workloads.

The Senior Software Performance Engineer will optimize NVIDIA's autonomous driving solutions, enhance software architecture efficiency, and develop performance-driven product code in C++, collaborating with multiple teams.

Design, implement, and deploy large-scale mapping and localization systems (offline management and online loading) in C++ and Python. Provide efficient runtime map query interfaces for perception, prediction, and planning. Improve mapping/localization CI, watchdogs, and event mining. Collaborate cross-functionally and with operations on data collection, preprocessing, labeling, testing, and analysis.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Design, develop, and optimize GPU- and CPU-accelerated image and data-processing libraries. Perform performance tuning, benchmarking, and optimization across architectures; collaborate with product management and partners; provide technical leadership and guidance to library engineers; and improve library performance and maintainability.

Develop, debug, and validate low-level firmware and sensor drivers for embedded robotics platforms. Bring up IMU, camera, LiDAR, and environmental sensors, implement communication protocols (I2C/SPI/UART/CAN), collaborate on board bring-up, build validation tools/tests, troubleshoot hardware-software integration, and contribute to firmware architecture and documentation.

Design, implement, test, and maintain production embedded C++ firmware and device drivers for robots. Own full software lifecycle, ensure time-critical reliability and safety, lead technical investigations, mentor engineers, and collaborate with hardware, systems, controls, safety, and test teams.

Architect and implement platform layer (bootloader through system software) for large embedded systems. Build SW lifecycle management (packaging, upgrades, HA), bare-metal provisioning, secure boot and SELinux policies, telemetry/observability, hardware validation/stress testing, and cloud orchestration integration (k8s/Helm/Ansible).

Lead architecture and core runtime foundations for a distributed scanner platform, driving reliability, observability, performance, and engineering rigor while collaborating with hardware and ML teams and mentoring engineers.

Develop and optimize LiDAR-based perception software for autonomous driving applications, utilizing edge AI platforms and machine learning algorithms, while collaborating with cross-functional teams.