Software Engineer Jobs in Santa Clara, CA

Develop and maintain web and desktop applications using .NET technologies. Requires strong programming skills, experience with databases, and project management.

The Software Test Engineer will automate and validate systems, build testing frameworks, and ensure software reliability with hardware integration.

Lead the design and implementation of a robust subscriptions platform across cloud environments while coding 80% of the time. Collaborate with multiple teams to enhance service reliability and scalability.

The Software Test Engineer will conduct CNA testing, find bugs, design test cases, automate testing, and validate software fixes, requiring 5 years of experience.

The Senior Software Engineer will own feature development from design to deployment, focusing on user feedback and collaboration with ML researchers.

The Principal Software Engineer leads cloud platform projects, mentors junior engineers, and oversees the design and development of scalable applications.

As a Principal Engineer, you will design and implement components of a scalable e-Commerce platform, mentor junior engineers, and lead large projects.

The PCIe Senior/Lead Software Engineer will manage high-speed communication between hardware components, develop PCIe software, tune parameters, and create automated tests to ensure system reliability and performance.

Design, implement, and maintain automated tests and test infrastructure to validate NVIDIA enterprise offerings (NIM, NeMo, BioNeMo). Collaborate with developers to triage issues, perform root-cause analysis, verify fixes, and improve test plans. Leverage AI capabilities to accelerate QA processes and investigate LLM/AI model testing approaches.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

Create developer-focused technical content, demos, reference examples, deployment guides, and docs-as-code workflows to accelerate adoption of NVIDIA enterprise AI software. Work across engineering, product, field, and partners to design developer journeys, build sample applications and notebooks, enable sales and partners, capture feedback, and engage the open source and cloud-native communities.

The role involves architecting and operating NVIDIA's cloud-native attestation platform, developing high-availability services, collaborating with cross-functional teams, and mentoring engineers.

Design and scale large-scale autonomous driving simulation platforms and workflows. Develop Real2Sim/Sim2Real domain adaptation, neural rendering and synthetic data pipelines, optimize performance and distributed infrastructure, collaborate with researchers and product teams, and drive production technology transfer for AV validation and training.

Develop and invent parallel, graph-based RTL analysis and optimization methods. Analyze RTL impacts on latency, power, DFT, clocking, and power delivery. Explore ML (LLMs, GNNs, GANs, RL) and high-performance algorithms for logic synthesis, clustering, and implementation. Drive end-to-end tool development and collaborate with design teams to deploy optimizations.

The role involves developing an inference framework for large language models and optimizing performance on embedded platforms, collaborating across teams and contributing to CUDA kernel development.

Lead the design and implementation of high-performance PoP infrastructure, optimize networking software, and mentor engineering teams at Blue Origin.

Design, implement, and test hard real-time algorithms, state machines, and application logic for a robotic medical platform. Develop C++/Python production code on Linux and RTOS, collaborate with cross-functional teams, contribute to testing and simulation environments, participate in design reviews, and ensure safety-critical software quality.

The Software Quality Assurance Engineer will develop and implement QA processes for the Self-Driving System, ensuring compliance with ASPICE and ISO standards, conducting audits, and driving continuous improvement in quality assurance practices.

Maintain and modernize UI, server, persistence, and integration layers of a fraud detection platform; diagnose production issues; implement product enhancements; keep frameworks patched and secure; improve test coverage and engineering quality; lead reviews, mentor engineers, and participate in releases and on-call rotations.

The Robotics Software QA/Test Engineer will ensure software quality through testing practices, monitor test robots, triage issues, and improve testing tools.

Seeking an experienced Sr. Principal Software Engineer to design and develop platform-level software for networking devices, requiring extensive embedded systems knowledge and strong programming skills.

Lead design, development, automation, and execution of network software test plans. Debug software, reproduce customer issues, use packet captures and monitoring tools, collaborate with hardware/software teams, and mentor junior engineers to ensure product quality across platforms.

Design and maintain DevOps tooling, manage Kubernetes clusters, develop scripts in Python, and ensure strong SDLC discipline. Collaborate with engineering teams.

Develop motion planning software for autonomous trucks, utilizing sensor data to enhance planning algorithms and collaborate with engineers.