Software Engineer Jobs in Santa Clara, CA

As a Staff Software Engineer at Arc, you will lead the design and development of a new AI-native banking platform, focusing on reliability and scalable systems for cash management and treasury solutions, while influencing product direction and mentoring team members.

Lead software integration for high-speed optical transceivers on advanced switch architectures, ensuring automation and system debugging, collaborating with cross-functional teams.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

The candidate will design and develop a multi-threaded physical synthesis core engine, collaborating with a global R&D team to provide engineering solutions.

Lead the design and implementation of complex software systems in the Endoscopy division, mentoring engineers and collaborating cross-functionally.

As a Senior Software Engineer, you will own the OS UI platform, architect features, optimize performance, mentor engineers, and collaborate on user experiences.

The Senior Viewer Product Software Engineer will design, build, and operate scalable distributed services, mentor engineers, and collaborate on features.

Lead AI software resiliency development, implementing features for reliability and fault tolerance in large-scale AI supercomputers, requiring hands-on coding and collaboration.

As a Senior Software Engineer, you will design software architecture for humanoid robotics, integrating hardware/software, leading profiling, and providing technical guidance while collaborating globally.

The Senior Embedded Software Engineer will design and develop software solutions for NVIDIA's autonomous vehicle platforms, collaborating with multi-functional teams, debugging systems, and ensuring hardware and software integration across vehicle subsystems.

The Principal Software Engineer will develop backend systems using Rust or Go, debug integrations, manage middleware components, and optimize data flows while following SDLC practices and collaborating with teams.

The Principal Software Engineer will design and optimize backend services using Rust or Go, debug complex issues, and collaborate on system integrations while adhering to disciplined engineering practices.

The Sr. Staff Software Engineer, Automation will develop tools for automating reliability testing and analysis, collaborating with various teams to optimize workflows and improve product reliability.

Design, develop, and optimize high-performance, low-latency network systems software in C. Build shared framework components for routing, switching, VPNs, and overlays; design packet processing pipelines, routing/forwarding databases, and protocol state machines. Work across the full product lifecycle, troubleshoot system-level performance and concurrency issues, and collaborate with protocol, QA, and cross-functional teams to deliver scalable networking solutions.

Design, develop, and optimize embedded Linux platform software including U-Boot, kernel porting, and custom Ethernet/peripheral drivers. Perform ARM board bring-up, debug complex issues, collaborate cross-functionally, and produce design documentation for network timing and synchronization products.

Design, build, and operate exascale distributed systems and orchestration for AI research. Implement storage and compute scheduling across multi-region clusters, improve reliability and observability, collaborate with security and platform teams, and translate researcher requirements into scalable, high-performance infrastructure.

Architect and implement low-latency sensor-to-GPU data pipelines, develop system software, drivers, and APIs, work across FPGA, networking, and CUDA stacks, integrate diverse sensors into Holoscan, and debug and optimize real-time distributed systems under strict latency and throughput constraints while collaborating with hardware, firmware, and AI teams.

Lead design and development of infrastructure, automation frameworks, and internal developer tools. Build scalable services, APIs, dashboards, workflow engines, and LLM-powered workflows integrated with CI/CD, source control, test infrastructure, and observability. Define architecture and reliability practices, mentor engineers, review designs, and provide technical leadership for automation and tooling projects.

Lead backend platform engineering for Venmo CFS, setting technical direction for authentication, authorization, fraud and compliance systems. Drive cross-team architecture, mentor senior engineers, define standards, translate regulatory requirements into technical solutions, own service reliability and participate in on-call and incident response.

Design, develop, and productize robust multi-frame, multi-sensor tracking and fusion algorithms for obstacle perception. Improve accuracy, robustness, and efficiency while meeting product safety, latency, and software robustness requirements. Define performance metrics and collaborate with data and ground-truth teams to validate and iterate algorithms at scale.

Build and scale simulation infrastructure and test frameworks to validate autonomous driving systems at large scale. Design metrics and test sets for KPIs, automate and improve test tooling and data quality, collaborate across teams, troubleshoot system-level issues, and mentor junior engineers.

Lead architecture, design, and implementation of scalable streaming TV frontends across connected TV platforms. Drive frontend strategy, collaborate with product and UX, champion AI-assisted engineering, and improve reliability, performance, and user experience for large-scale consumer applications.

Design and implement software modules for autonomous systems, optimize performance, and provide architectural guidance for other teams.

Design and implement large-scale automated test infrastructure and orchestration for confidential computing on NVIDIA GPUs. Develop test plans, automate test execution, improve coverage, collaborate across teams, and validate CUDA/driver features in distributed, heterogeneous environments using AI-assisted tools.

Lead design, implementation, and automation of large-scale cloud and data center test infrastructure. Develop CI/CD pipelines, validate performance, scalability, and reliability, debug clusters (network, storage, security), manage Kubernetes and cloud environments, leverage AI tools to accelerate testing, and coordinate cross-team bring-up and issue resolution.