Software Engineer Jobs in Visalia, CA

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.

The Staff Software Engineer will architect and build scalable solutions for Cloudera's Data Platform, contribute to Apache Spark, enhance engineering processes, and work with large-scale distributed systems.

Lead software quality systems and SDLC governance for digital, SaaS, cloud, and connected products. Establish scalable QMS processes, drive risk management, audit and compliance readiness (SOC2/ISO/HIPAA/FDA), support audits, mentor cross-functional teams, and integrate quality into Agile/DevOps/CI-CD workflows.

Lead software quality systems for SaaS, cloud, and connected products. Establish SDLC governance, risk management, audit readiness, and scalable quality processes. Partner with R&D, security, regulatory, and quality teams to translate regulatory requirements into compliant development practices and support audits, gap remediation, and continuous improvement.

Develops and maintains complex enterprise ERP solutions supporting HR, payroll, supply chain, finance, nurse scheduling, and information systems. Designs, enhances, implements, and supports Oracle ERP applications, contributes to business transformation initiatives, and may lead medium-sized project or work teams. Responsibilities include application lifecycle management, deployment, support, maintenance, and delivery of medium to complex development projects.

Build and operate NVIDIA’s attestation and trust services for confidential computing and GPU platforms. Develop cloud services, verifiers, SDKs, CLI integrations, APIs, and customer-hosted capabilities. Own features from design through deployment, testing, observability, incident response, and maintenance. Improve reliability and security, create conformance tooling, investigate production issues, participate in reviews and on-call rotations, and mentor newer engineers.

Lead the architecture and development of scalable computer systems and application software. Make technology and design decisions, solve complex technical problems, mentor junior developers, conduct code reviews, and promote engineering best practices. The role requires cloud expertise across Azure and AWS, AI agent integration, data system architecture, and microservices experience, with opportunities to collaborate cross-functionally and guide technical direction.

Serve as technical lead between NVIDIA and hyperscale CSPs on GPU firmware and system software. Drive firmware update orchestration, recovery procedures, multi-GPU coordination, telemetry/health monitoring, and incorporate CSP feedback into NVIDIAs roadmap to improve fleet-scale manageability and reliability.

Lead technical engagements with cloud service providers on rack-scale system software and firmware. Drive architecture alignment, integration readiness, error handling and recovery, health telemetry, firmware orchestration, and serviceability. Capture CSP feedback, influence NVIDIA system software design, improve tooling and tests, and mitigate execution risks through early collaboration.

Serve as NVIDIA's CSP-facing principal for end-to-end performance: drive characterization with hyperscaler engineering teams, gather and synthesize workload feedback, prioritize optimizations across CUDA/NCCL/driver/firmware, validate benchmarks and tools, update stress/profiling tooling, define test strategies, and ensure performance integration and acceptance for customer-representative configurations.

Lead design and implementation of security systems and controls for large-scale AI and HPC cluster infrastructure. Drive incident response, risk assessment, system hardening, governance, audit readiness, and cross-team collaboration to protect hardware, software, and datacenter platforms.

Develop foundational XR support in the Unity Engine by integrating third-party SDKs, collaborating with platform partners, and implementing performant rendering and platform-compatibility solutions. Investigate and fix bugs, write automated tests, participate in code reviews, and mentor other engineers to maintain high code quality.

Lead development and maintenance of infrastructure tooling and services for core backend systems, champion SRE best practices, design cross-cutting reliability initiatives, guide teams on robust system design, and perform security reviews for new projects and technologies.

Design and optimize high-performance C++/CUDA libraries for GPU-based data processing. Improve multi-node GPU communication (UcxExchange), optimize Presto GPU query performance, and lead enhancements across Presto, Velox, and cuDF projects for efficient DataFrame and database acceleration.

Lead end-to-end design, development, and quality of enterprise cloud solutions. Estimate costs, define quality criteria, implement complex systems, manage engineering processes, risks, and dependencies, and mentor teams. Serve as technical lead across large, cross-functional projects to deliver measurable, user-centric healthcare technology solutions.

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 technical direction for foundational web capabilities with a focus on data fetching. Improve frameworks, tooling, and patterns across GraphQL/REST ecosystems, drive platform investments, establish best practices, mentor engineers, and enable scalable, maintainable web development for millions of users.

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

Lead the development and maintenance of high-performance cross-platform desktop and mobile applications for HiFi audio. Drive technical direction, mentor team members, and innovate audio streaming solutions while ensuring product scalability and performance.

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, and optimize GPU- and CPU-accelerated image and data-processing libraries. Perform performance tuning, benchmarking, and optimization across architectures; collaborate with product management and partners; provide technical leadership and guidance to library engineers; and improve library performance and maintainability.

Design, build, deploy, and run large-scale infrastructure services on NVIDIA hardware. Define SLOs and observability, automate toil, participate in on-call incident response, and consult with peer teams on systems design and reliability.

As a senior software engineer at NVIDIA, you will design and build tools for performance analysis of AI workloads, lead automation efforts, and enhance workflows for engineers.

As a Senior/Lead Software Engineer, you'll develop full-stack product features, focusing on AI integration and user experience, while collaborating with cross-functional teams.

Seeking a Senior Software Engineer to design and build a microservices-based SaaS platform, focusing on Java and AWS technologies while ensuring robust deployment and customer satisfaction.