Software Engineer Jobs in San Jose, CA

Lead hardware/software bring-up of analog/mixed-signal and sensor ICs on customer MCUs/SoCs. Write driver-level firmware and application demos, debug full signal-chain issues, build reusable driver frameworks, document architectures and bring-up guides, lead technical integrations with partners, mentor engineers, and support customer lab demos and trade-show deadlines.

Design, develop, and operate large-scale SDN control and data plane software (OVS/OVN/OpenFlow) for NVIDIA AI Cloud. Build network orchestration and IaC (gRPC/REST, Ansible, Terraform, ArgoCD/Flux), maintain CI/CD pipelines, implement observability/monitoring, drive upstream open-source contributions, and collaborate with SRE/DevOps to ensure production reliability and performance SLAs.

Lead software safety for deep learning systems in autonomous driving: ensure development processes meet ISO 26262, promote safety culture, influence hardware/software architecture, drive safety activities across concept-to-validation phases, and support internal/external ISO 26262 audits and conformance.

Lead end-to-end design and delivery of backend, API, and authentication systems for a high-scale real-time calling platform. Architect APIs and auth models, write design docs, improve observability and DevEx, mentor engineers, collaborate with Product and Design, participate in on-call, and ensure reliability and performance.

Develop full-stack web applications and integration tools for aerospace engineering, ensuring scalability and reliability while collaborating with hardware engineers and embedded software developers.

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.

The Software QA Engineer will manage test automation and validate software using various tools and programming languages, focusing on both manual and automated testing.

Design and implement algorithms and tools for chip-level placement, reshaping, and global routing. Develop computational geometry, placement, routing and graph-optimization solutions, apply machine learning for design space exploration, extend GUIs for debugging/visualization, and collaborate with design teams to deploy high-performance C++ tools impacting next-generation AI chip physical layouts.

Develop CAD software and methodologies for high performance chip design and verification at NVIDIA. Collaborate on EDA tools and provide project support.

The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.

Lead and architect AI agent applications by improving reliability, performance, and scalability. This role focuses on full-stack development, operational excellence, and collaboration across teams to build robust production systems.

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

Design and maintain system software for GPU communication, develop architectural solutions for computing platforms, and work with cross-disciplinary teams.

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

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.

Lead software engineer responsible for designing high-level and detailed architectures, performance tuning, and building distributed systems. Work with LLM/ML and big-data technologies (e.g., Langchain, Spark), develop in Python and C++, and design data solutions with strong SQL and database fundamentals. Collaborate across teams and integrate diverse frameworks into practical solutions.

Develop and integrate autonomous software for on-vehicle platforms, focusing on performance, fault detection, and validation strategies.

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

Lead and grow a software engineering team focused on RISC-V software ecosystem, collaborating with teams to establish RISC-V as the standard.

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.

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.

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.