Software Engineer Jobs in Santa Clara, CA

Develops EDA and CAD tools that improve custom circuit design productivity. Responsibilities include software development across the tool lifecycle, GUI and database design, testing, deployment, maintenance, silicon data and timing analysis support, infrastructure improvements, and collaboration with backend, hardware, and design automation teams.

Build production-grade agentic AI systems for Cisco Security’s SOC, including agent execution, orchestration, governed tool use, memory, evaluation, telemetry, and trace analysis. Design secure capabilities for cloud, on-premises, sovereign cloud, and air-gapped environments. Own features end to end, improve AI quality and reliability through experimentation and production evidence, collaborate across Cisco and Splunk, contribute to architecture, and mentor engineers.

Designs, builds, and maintains real-time surgical visualization and augmented reality software for the da Vinci robotic surgical system. The role involves prototyping clinical concepts, architecting distributed-system interfaces, collaborating with multidisciplinary teams, conducting hazard analysis, and supporting regulated verification, validation, and documentation. Required expertise includes production C++, computer graphics, graphics APIs, system integration, software testing practices, and Linux. Preferred experience includes surgical robotics, medical imaging, Qt/QML, Unity, CUDA, computer vision, and machine learning.

Own and evolve Kubernetes networking for GPU superclusters spanning multiple clouds and thousands of nodes. Design and operate CNI data planes, overlay meshes, VPNs, gateways, load balancers, and tunnels. Identify scale limitations, build network validation environments, diagnose distributed networking failures, and partner with cloud providers on topology. Provide technical leadership while using strong Linux networking, systems programming, and large-scale debugging expertise.

Design and build rendering infrastructure to run GPU-accelerated, physically-based sensor simulation at cluster scale. Integrate the renderer with AV stacks and ML training, ensure deterministic execution and timing fidelity, optimize GPU memory and throughput, implement multi-world execution and asset delivery, reduce cold-starts, and maintain profiling, testing, and cross-team collaboration.

Own Picarro’s Android and iOS mobile experience for field-facing apps connected to physical instruments and cloud systems. Design offline-first applications, synchronization architecture, Bluetooth and sensor integrations, and reliable background data collection. Manage production performance, crash rates, sync failures, releases, monitoring, and root-cause fixes. Collaborate with backend engineers on field-ready APIs and mentor engineers on mobile architecture and platform best practices.

Design, develop, and maintain scalable capabilities across on-premises and SaaS platforms. Architect resilient distributed systems, optimize performance, uphold engineering quality and reliability, and collaborate with Product Management and engineering teams on technical strategy and roadmap planning. Provide technical leadership, foster ownership and continuous improvement, and participate in Agile development while delivering enterprise-grade solutions for demanding scalability and performance requirements.

Lead architecture and implementation of AI-security products, define technical direction, drive cross-team initiatives, design secure scalable backend systems, and address systemic risks while remaining hands-on in coding, prototyping, and debugging.

The role involves designing and developing core features for the Linux sensor in CrowdStrike's security platform, collaborating with teams across the company, and maintaining software quality for cross-platform delivery.

The Staff Software Engineer will design and implement the backend architecture for Marimo's molab, focusing on high availability, low latency, and system stability, while utilizing CoreWeave's infrastructure.

As a Staff Software Engineer on the Inference team, you'll lead architecture and optimization for Kubernetes-native AI workloads, enhancing performance and reliability across services.

Lead development of low-power verification software for Cadence Palladium and Protium platforms. Responsibilities include enhancing UPF debugging, event logging, violation detection, IEEE 1801 support, documentation, AI-assisted debugging tools, and unified workflows across emulation and prototyping environments. The role requires collaboration with R&D, product engineering, and applications engineering teams, along with strong debugging, C++ code comprehension, RTL language knowledge, technical writing, and communication skills.

Develop and execute software test plans, cases, and suites across complex systems. Build automated testing frameworks, validate APIs and integrations, integrate tests into CI/CD pipelines, isolate defects, perform root cause analysis, document findings, and collaborate with software engineers on corrective actions and quality improvements.

Develop and optimize large-scale data ingestion and serving infrastructure for autonomous vehicle systems. Build reliable pipelines, real-time and batch data services, validation checks, monitoring, and scalable distributed systems. Collaborate with AV development teams to improve data processing efficiency, latency, availability, and quality while documenting ingestion processes.

Designs, develops, and operationalizes enterprise architecture operations and technology intelligence capabilities. Builds AI-powered process automations, data pipelines, metadata models, and digital-twin repositories using Python, cloud platforms, SaaS architecture tools, and analytics platforms. Develops scalable microservices, APIs, CI/CD pipelines, and secure solutions for regulated environments while providing technical leadership, influencing architecture decisions, and collaborating with product, business, risk, and security stakeholders.

Build and maintain a portfolio of native Android applications and public SDKs for Clover POS devices, primarily using Kotlin. Contribute to Java backend microservices, define client-server API contracts, enforce payment security (PCI, EMV, tokenization), and own fleet stability and release operations across a large device network while supporting third-party integrations.

Develop and optimize trace-driven power and thermal simulation engines. Integrate IP-level power macromodels, workload traces, thermal solvers, and reduced-order models into scalable system-level simulation flows. Generate transient power maps, analyze spatiotemporal hotspots, and ensure performance, reproducibility, and maintainability. The role requires strong C++ software engineering, simulation framework development, time-indexed or event-driven architectures, debugging, software design, and performance optimization.

Build and maintain an agentic platform that transforms high-stakes medical and legal casework into structured context. Work across the full stack: agent architectures, eval frameworks, data ingestion/indexing, and user-facing tooling. Ship workflows, design reliability-focused evals and guardrails, iterate with user feedback, and set patterns for AI-native development in a healthcare context.

Design and implement reliable, scalable full‑stack web tools (backend and frontend) to automate and optimize chip design and verification workflows. Build web applications in Go, TypeScript, and JavaScript, model hardware-level product definitions, research solutions to improve engineering efficiency, and support hundreds of global users.

Design, develop, and verify Tegra core boot firmware for safety- and security-critical platforms. Define and decompose functional/safety requirements, perform FMEA/DFA on bootloader features, validate on pre-silicon simulation platforms, support silicon bring-up and post-silicon issues, and collaborate with cross-functional teams to meet automotive and datacenter quality and verification standards.

Develop and maintain open-source GPU-accelerated inference software for LLMs. Enable disaggregated serving across vLLM, SGLang, and TensorRT-LLM for agentic inference (long-horizon reasoning, tool calling, multi-turn state). Optimize inference-state management, GPU memory and cache reuse, and distributed frontend performance, while prioritizing latency, throughput, and integration with upstream APIs and agent harnesses.

Develop and optimize embedded Linux software for da Vinci surgical robotics systems. Build platform APIs, SDKs, distributed data-processing and ML inference frameworks, hardware and network interfaces, and user-facing integrations using C++, Python, and shell scripting. Evaluate system architecture and performance across CPU, GPU, edge, and cloud environments while producing reliable, testable, production-ready code and technical documentation.

Design and build AI-driven web products and platform infrastructure for chip design workflows. Implement high-performance APIs, backend services, data pipelines, and distributed systems. Own technical strategy, collaborate with product and engineering teams, and work across frontend and backend to deliver scalable, maintainable tools.

Develop PILOT software that captures hardware data, integrates local and cloud data pipelines, and produces rigorous reliability insights. Build visualizations, analyze real-world data, document tools and findings, and collaborate with optical engineers, firmware engineers, and data center operators to define meaningful performance metrics and improve products and customer operations.

Lead development of scalable lab automation and validation infrastructure for 800G and 1.6T optical modules. Architect Python and C++ frameworks, integrate optical and electrical test instrumentation, automate signal and traffic testing, build data pipelines and dashboards, and orchestrate distributed laboratories with CI/CD integration across major networking platforms.