Software Engineer Jobs in San Jose, CA

Lead design, development and maintenance of cross-platform C/C++/Qt build systems and toolchains. Automate workflows with Python and scripting, manage GCC/MSVC toolchains, maintain gmake/Bazel builds, integrate CI/CD (Jenkins/GitLab/Bitbucket), troubleshoot complex issues, and mentor junior engineers.

As an Accelerator Software Engineer, you will develop firmware and software for an ASIC, collaborating on design and implementation across multiple domains, including host-side drivers and microcontroller architecture.

Develop and optimize high-performance CUDA kernels and distributed AI systems for deep learning applications, collaborating with researchers to enhance model performance and efficiency.

NVIDIA seeks a Senior Software Engineer to enhance its AI platform using JAX, focusing on performance optimization in deep learning frameworks while collaborating with applied researchers. The role requires strong programming, system design skills, and a proven ability to develop customer-facing solutions.

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

Lead the design and implementation of complex software systems, mentor engineers, and ensure delivery of high-quality software solutions in medical device technology.

The role is for a Senior Software Engineer responsible for building and maintaining foundational services and SDKs for Speechify's product, collaborating with product teams, optimizing systems, and shipping cloud functions using Kotlin.

Design, build, and validate agent-focused robotics infrastructure across simulation, training, and on-robot deployment. Own CI/CD (CMake, Bazel, Python), Docker/Linux runners, evaluation pipelines, and documentation; create agent skills and tooling to drive adoption and ensure agentic workflows are tested and production-ready.

Lead design and implementation of agentic code-generation systems, scale distributed high-performance production infrastructure, develop AI evaluation frameworks and benchmarks, optimize agent outputs for NVIDIA GPUs, and drive engineering standards for production-grade agentic AI.

As a Senior Full Stack Software Engineer at Orum, you will own product features end-to-end, design scalable systems, collaborate with cross-functional teams, and drive technical excellence while mentoring your teammates.

Lead and hands-on build key PaaS features: design, implement, and operate distributed systems on Kubernetes and multi-cloud (AWS/Azure/GCP). Manage and mentor a small engineering team, drive architecture and technical decisions, own feature lifecycles, recruit, and partner with product to deliver scalable, secure network-routing capabilities.

Design, develop, and optimize high-performance algorithms and electromagnetic field solvers. Improve performance, accuracy, and scalability of tools, participate in architecture decisions, and collaborate with cross-functional teams to deliver robust R&D software solutions.

Own and evolve the core platform for model APIs and agentic products: build high-throughput, low-latency distributed services, data pipelines, SDKs, context retrieval, observability, and collaborate with ML/product teams to meet strict latency and reliability SLIs.

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

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 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.

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.

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

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.

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.

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.

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.