Software Engineer Jobs in Santa Clara, CA

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.

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 develop scalable cloud-based systems for GeForce NOW. Collaborate on features, enhance reliability, and mentor teams.

Develop and maintain components of a functional simulator for Cisco SiliconOne ASICs. Implement features per architecture specs, collaborate with ASIC architecture, software, and hardware teams, and participate in troubleshooting, testing, and validation. Apply industry best practices in model development and integration while learning from senior engineers.

Build and enhance native GFiber iOS app features using Swift and SwiftUI. Collaborate with product and design, implement modern concurrency patterns, maintain automated tests, mentor engineers, perform code reviews, and improve mobile architecture and CI/CD practices to deliver reliable customer experiences.

Design and deliver scalable backend microservices in Go on Kubernetes/EKS; build event-driven pipelines with Kafka/MQTT; optimize data ingest and queries across MySQL, Neo4j, and Elasticsearch; ensure production readiness, observability, and reliability; lead cross-team delivery and technical direction.

Lead and mentor engineers to build, scale, and maintain logging, tracing, and metrics platforms across global datacenters. Improve monitoring, alerting, automate compute integrations, manage production clusters, and advise teams on observability best practices to ensure reliability and security.

Design, build, and scale cloud-side detection systems for large distributed data streams. Implement backend services (primarily in Go), integrate ML models, work with distributed datastores and streaming systems, mentor engineers, and ensure reliable, testable production deployments in cloud environments.

Lead a team building full‑stack, cloud‑based microservices to meet regulatory and cybersecurity needs. Mentor engineers, collaborate with product managers, and deliver solutions using modern languages, databases, container orchestration, and AWS services.

Lead backend engineering projects and a development team to build cloud-based, distributed microservice solutions. Collaborate with product managers, mentor engineers, evaluate and write code, and use languages and tools like Python, Java, Scala, Spark, Docker, Kubernetes, and cloud platforms to meet regulatory and customer needs.

As a Senior Software Engineer at Taara, you will design and implement scalable cloud-native software for managing global optical terminals, build telemetry pipelines, automate infrastructure, and ensure effective communication between hardware and cloud services.

Develop system-level software for wireless broadband networks, collaborate with backend engineers, and troubleshoot large-scale deployments.

You will enhance the performance and reliability of SambaNova's AI inference platform, collaborating with teams to develop and maintain backend components in Python, Go, and Rust, while building testing frameworks.

As a Data Science and Machine Learning Software Engineer at NetApp, you will develop algorithms for real-time personalized search and recommendation using IoT data, while working on cloud-based services and analytics.

Develop and manage features for Screensavers, Wallpapers, Trivia, and AI initiatives while collaborating with cross-functional teams to create user-enhancing experiments.

Lead the development of Terra AI's backend system, collaborate with AI and ML engineers, and manage feature development and deployment. Build application pipelines and support team hiring.

Design and build the Neki control plane to provision, scale, and heal sharded PostgreSQL clusters. Implement high-availability, disaster recovery, backup/restore, and migration tooling. Operate distributed, fault-tolerant services on Kubernetes, participate in on-call rotations, and work with customers to translate workloads into platform improvements.

The Systems Software Engineer will design and maintain software systems for scientific instrumentation, optimizing components on Linux and using Python, while collaborating on Agile development projects.

Design, develop, and debug complex software for semiconductor equipment. Create documentation, test procedures, specifications and test plans. Troubleshoot issues, implement fixes, and collaborate with internal and external customers on requirements and scheduling.

The Software Engineer V will design, develop, and troubleshoot software solutions for semiconductor equipment, lead projects, and communicate with customers to meet requirements.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.

The Software Engineer II will design, develop, and troubleshoot software programs for physical synthesis in a collaborative R&D environment. They will work closely with product engineers and technical sales to provide engineering solutions for customers.

As a Software Engineer, you will enhance the data infrastructure by building new concurrency controls, indexing schemes, and optimizing distributed data processing algorithms.