Software Engineer Jobs in Santa Clara, CA

Lead architecture, implementation, and operation of a highly available, fault-tolerant payments and billing platform across AWS and GCP. Build shared platform layers, scalable services, and features for streaming, APIs, notifications, and batch workloads while coding approximately 80% of the time. Provide technical leadership, conduct design and code reviews, guide cross-team architecture, adopt AI-assisted coding tools, and drive CI/CD automation, platform reuse, and engineering excellence.

Architect and build highly available control-plane network services for TeraWave’s satellite communications network. Design microservices for subscriber provisioning and session management, develop stateful distributed systems across terrestrial data centers and orbital nodes, and optimize SQL, NoSQL, and time-series databases handling billions of telemetry points. The role also involves cloud-native Kubernetes deployments, service mesh, resiliency patterns, event-driven architecture, and large-scale observability.

Lead development and support of Intuitive’s da Vinci surgical-system emulator and hardware-in-the-loop environments. Expand emulator capabilities by modeling microcontrollers, sensors, FPGAs, and physics; investigate evolving system software and firmware; promote simulation-first development; and collaborate with engineers to deliver feature requests, fixes, and integrations. The role requires debugging complex systems, balancing new development with support, and guiding emulation-team practices.

Build and own manufacturing test and factory software: backend services, APIs, data pipelines, release and versioning systems, test station applications, and integrations with MES/SFIS. Support NPI and production ramp, productionize prototypes, and travel to domestic and international manufacturing partners for factory bring-up and deployments.

The role involves integrating CUDA features into AI frameworks, optimizing performance, and collaborating with teams on AI model development. Responsibilities include design, analysis, and enhancement of AI tools and frameworks.

Design and build resilient, high-throughput distributed systems in C++ to achieve six 9s reliability. Own platform components end-to-end, drive features from design to production, resolve consensus, resource-allocation, and fault-tolerance issues, and collaborate across engineering teams on architecture and code quality.

Build production-grade AI workflows, automations, and voice AI agent systems for internal and customer-facing use. Ship code to production, work cross-functionally with founders and engineers, and design integrations, tooling, and infrastructure that scale company operations and customer experience.

Build production-grade AI workflows, automations, and agent systems to power recruiting, security/compliance automation, finance and onboarding tooling, CRM integrations, and growth automations. Work across product, engineering, and operations to design API-based integrations and LLM-powered systems using modern models and automation tools.

Build and automate multi-cloud network provisioning using Ansible, Go, and Python. Implement task engines, integrate VNFs, create CLI/tools, extend configuration models, debug production provisioning issues, and participate in on-call rotation. Work hybrid from San Jose twice weekly.

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

Design and build scalable backend services and APIs for HPE EdgeConnect Orchestrator, integrate AI/LLM-driven workflows and Copilot capabilities, work with analytics and telemetry for real-time insights, and ensure quality through testing, debugging, and performance optimization.

As a Staff Software Engineer, you will develop solutions in the autonomy space, tackle complex engineering challenges, and mentor others.

Lead development of Luminai’s core platform, including shared frameworks, developer tooling, CI/CD, test infrastructure, observability, reliability, and IDE improvements. Architect high-performance backend systems, remove engineering bottlenecks, and establish secure defaults for authentication, authorization, and secrets management. Drive foundational technical initiatives and improve developer experience across the engineering organization.

Design, build, and maintain Luminai’s core platform infrastructure, backend services, shared libraries, internal APIs, and deployment systems. Lead projects that improve scalability, reliability, developer workflows, CI/CD, testing, and local development. Strengthen production systems through secure authentication, access controls, secrets management, code review, testing, and maintainable engineering practices.

Develop Linux-based diagnostic test suites and BSPs for Cisco switches, perform hardware bring-up and system integration, collaborate with ASIC/hardware teams and vendors, debug hardware issues, and support manufacturing test and failure analysis to improve yield and test time.

Build and maintain software for GPU/CPU compute infrastructure, implement bare-metal and VM provisioning, develop distributed orchestration, troubleshoot production systems, own incidents and on-call duties, and collaborate cross-functionally to improve developer and customer compute experiences.

Lead design and development of system-level services, diagnostics, and tooling for an AI inference platform. Support board/firmware bring-up, kernel and driver development, hardware/software co-design, manufacturing test integration, and system-level performance and power optimization. Collaborate with silicon, hardware, and manufacturing teams to debug and validate platform software.

Build and maintain GPU/CPU compute infrastructure for bare-metal and VM provisioning. Implement distributed systems to orchestrate compute resources, troubleshoot production issues, own on-call incidents, and collaborate across teams to improve developer and customer compute experiences.

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.

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.

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.

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.