Software Engineer Jobs in Visalia, CA

Design and develop system software for Tegra SoCs, working with hardware and software teams to enable new platforms and products while also performing complex system-level debugging.

Design, implement, and extend compute debugger tools and libraries for NVIDIA GPUs across Windows, Linux, and embedded RTOS. Apply debugger, binary-instrumentation, and computer-architecture expertise to integrate new features, collaborate with cross-functional teams, document designs, estimate work, perform peer reviews, and mentor junior engineers.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

Design and operate secure authentication and identity services, manage integrations with identity providers, and ensure high availability and system observability.

The role involves designing, developing, testing, and optimizing software for NVIDIA's SoCs, focusing on performance enhancements and addressing architectural bottlenecks. Responsibilities include competitive analysis and driving performance optimizations across software products.

Design and develop real-time applications for desktop and mobile platforms, ensuring reliability and scalability. Collaborate with teams to enhance user experience and maintain code quality.

As a Software Engineer, you will design and build backend services for Relativity's generative AI platform, focusing on scalability and reliability in distributed systems.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

This role involves optimizing deep learning inference performance using TensorRT, collaborating on benchmarking, developing new pipelines, and addressing performance issues across NVIDIA accelerators.

Build and maintain user-facing features using React and TypeScript, collaborate with teams on growth experiments, and improve frontend architecture.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

Design and implement high-performance, parallel algorithms in C++ and CUDA to accelerate dataframe and database operations. Contribute to open-source projects (cuDF, Velox, Presto, Spark), profile and optimize code, and collaborate with GPU hardware and software experts to build scalable data-processing libraries.

Design, build, and maintain TypeScript/NestJS backend services and scalable APIs. Implement event-driven, asynchronous processing with queues and workers, integrate third-party APIs and webhooks, and improve platform reliability through observability, performance optimization, and production troubleshooting. Collaborate cross-functionally, own projects end-to-end, and influence long-term architecture and developer experience.

Design, build, and maintain scalable backend services and APIs using TypeScript and NestJS. Implement event-driven, high-throughput workflows, integrations, queues/workers, and observability; collaborate across teams and own projects from design to deployment.

Design and build scalable PyTorch components for supercomputers (thousands to 100ks GPUs), collaborate with hardware and software teams to improve GPU performance, support production AI solutions for enterprise customers, and work with researchers to enhance AI tooling.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

The Senior Software Engineer II will design and implement complex backend systems for a data streaming platform, lead technical projects, and mentor engineers in a cloud-native environment.

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.

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.

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.

As a Principal Software Development Engineer, you will architect and optimize SSD platforms, lead system integration, and influence industry trends.