Software Engineer Jobs in Santa Clara, CA

Design, implement, and deploy scalable API-driven features and services for the Matterport Platform using Kotlin, Python, and front-end technologies. Work with relational and non-relational datastores, microservices, monitoring, and cross-functional teams. Mentor junior engineers and advocate for strong engineering practices.

Lead a team of firmware engineers for CXL and PCIe End Point device development. Responsible for planning, execution, and delivery of software, collaborating across cross-functional groups, and mentoring team members.

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.

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.

Design, develop, and maintain engineering solutions to validate, monitor, and operate GPU clusters for ML researchers. Research and apply AIOps/Agentic AI to reduce operational toil, enable self-service reliability and performance improvements, and participate in on-call support for platform systems.

The Senior Software Engineer at NVIDIA will design and build CI/CD pipelines, implement testing frameworks, and drive automation initiatives across developer and release workflows.

Design, develop, and extend test strategies and automation for NVIDIA DriveOS. Build software to automate verification, analyze and root-cause issues to code level, and collaborate with development, verification, and customer teams to ensure functional and performance quality.

As a Senior Frontend Engineer, you'll develop UI features for the AI voice platform, working with React and TypeScript while collaborating on backend systems and leading projects from concept to launch.

Senior front-end engineer responsible for developing products end-to-end, owning projects from concept through launch, and shaping company direction to drive growth across portfolio companies.

The Software Design Engineer will develop and analyze complex software programs, assist in product specification determination, and design projects.

Design and implement map-based driving algorithms and in-vehicle systems, integrate map and perception data, develop transformer-based graph models and LLM evaluation frameworks, build automated map content analysis and scalable distributed map-building workflows.

The Principal Software Engineer leads large-scale cloud application projects, mentors junior engineers, and handles critical production issues. Extensive experience in software development is required.

Design and build scalable, semantically consistent 360 entity data models and transformation pipelines. Implement cleansing, enrichment, KPIs, scoring, and business rules in SQL and Python/Scala, ensure data quality, lineage, and performance at scale. Use AI coding assistants and SDD to accelerate development, create tests and documentation, and collaborate with domain experts, data scientists, and product teams to deliver trusted, reusable data assets.

Design, build, and maintain large-scale data pipelines and APIs for Ventura OS. Optimize data processing workflows, integrate ML models into production, ensure data quality and observability, and collaborate across teams to drive architecture and data infrastructure decisions for streaming and content recommendation use cases.

Develop core backend components for a blockchain network, focusing on reliability and scalability, mainly using Rust. Ensure code quality through testing and debugging.

Design, build, and operate core distributed systems in Rust powering messaging, storage, eventing, and fanout across a global real-time platform. Focus on reliability, performance, observability, incident response, capacity planning, and running services in Kubernetes-based production environments.

The Senior Software Engineer will design and develop core features for YugabyteDB, focusing on scalability, performance, and distributed systems. Responsibilities include coding in C/C++, solving complex issues, mentoring junior engineers, and contributing to the open-source project.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

As a Software Quality Engineer, you'll ensure product quality by collaborating with development teams, developing test plans, performing testing, and improving quality processes in a regulated environment.

The role involves designing, automating, and executing tests for networking products, validating customer deployments, and analyzing test results for reliability and performance.

The Staff Full Stack Software Engineer will design, develop, and maintain internal tooling, collaborate with teams on data handling, and deploy Gen AI solutions, enhancing workflows across the organization.

Develop, verify, and integrate safety-critical embedded software for aircraft battery management systems. Implement low-level drivers, battery controls, fault detection, DSP filtering, and board bring-up. Work with systems engineers to decompose requirements and support DO-178C certification, collaborating cross-functionally to test, verify, and certify hardware/software systems.

Lead software-hardware co-design to optimize LLM and agentic AI inference. Profile and optimize model execution for memory bottlenecks, influence memory and accelerator architecture, and develop/benchmark inference and serving solutions using PyTorch and vLLM while mentoring teams on best practices.