Software Engineer Jobs in Santa Clara, CA

Design and implement deterministic, safety-critical motion planners for autonomous vehicles, ensuring safe operation under uncertainty and degraded perception. Collaborate with diverse teams and conduct large-scale evaluations.

Develop a data-oriented frontend UI/UX platform for Defense applications, collaborating with design teams and integrating with systems.

Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs.

Develop and optimize software for NVIDIA's autonomous vehicle platform, collaborating with teams and providing technical support for productization.

Conduct performance analysis on large multi-GPU clusters, evaluate interactions between libraries and hardware, and develop tools for performance visualization and data analysis.

The Senior Systems Software Engineer will enhance software architecture, modularization, and integration of ADAS systems, ensuring scalability and efficiency within NVIDIA's platform.

Designs, implements, and validates autonomous driving software (perception, localization, planning/prediction, or control). Develops ML models and data pipelines, runs simulation and vehicle tests, collaborates with global partners, and optimizes systems for embedded/automotive deployment and safety compliance.

Design and implement perception capabilities within a core simulation engine to detect uncertainty, degradation, and failures. Build multi-fidelity sensor simulation and workflows, define uncertainty signals that trigger safe fallback behavior, collaborate with infrastructure and sensor teams, and deploy production systems affecting vehicle safety and ODD expansion.

As a Software Engineer at SpaceX, you will develop reliable real-time software for the Starlink network, conducting testing and deployment across various environments, while ensuring effective feedback loops between software design and performance.

As a Software Engineer for Starlink, you'll develop reliable real-time software for satellite-based internet, participate in design reviews, and manage software testing.

Develop and integrate autonomous software for on-vehicle platforms, focusing on performance, fault detection, and validation strategies.

Design, implement, and maintain reliable embedded software for in-vehicle systems. Integrate vendor components and sensors, develop RTOS and Linux/Android applications, bring up custom devices, implement OTA and infotainment solutions, and use modern build tools and CI/CD to productionize products.

Design, implement, and deploy software and ML components for behavior prediction, state estimation, and decision planning. Build scalable data pipelines, transform raw sensor logs for training, and develop evaluation frameworks and tooling for model visualization, experiment tracking, and continuous delivery. Integrate models into low-latency production systems and maintain high code quality with rigorous testing.

Operate, monitor, and optimize large-scale AI compute clusters built on the Wafer-Scale Engine. Develop and own software for cluster operations (monitoring, automation, APIs, dashboards), deploy and debug Docker-based services, troubleshoot distributed systems, maximize compute capacity, and participate in a 24/7 on-call rotation while collaborating cross-functionally to improve operational visibility and reliability.

Lead development and migration to a workflow-as-code management plane (Temporal) to provision and operate a global fleet (100k+). Build idempotent, replay-safe workflows, orchestration-ready platform APIs, AI/ML-driven SRE features, and deep telemetry for explainable, auditable fleet operations.

As a Senior Software Engineer, you'll develop Go-based services for managing large-scale GPU data center infrastructure, focusing on automation, APIs, and monitoring tools.

Develop and optimize trace-driven power and thermal simulation engines, integrate IP-level power macromodels into system-level flows, manage time-indexed simulations across power and thermal domains, generate transient power maps and spatiotemporal hotspot analysis, interface with reduced-order thermal models and CFD-calibrated solvers, and ensure simulation performance, scalability, and reproducibility.

Senior software engineer leading backend and platform architecture across cloud and on-premises deployments. Responsibilities include developing scalable distributed systems, optimizing databases and queries, owning technical roadmaps, resolving production issues, improving security and observability, mentoring engineers, and partnering with product, architecture, UX, cross-functional teams, and customers. The role focuses on security monitoring, threat detection, compliance workflows, and reliable data-processing services.

Architect, develop, deploy, and support scalable APIs, integrations, data pipelines, orchestrated services, and microservices for Matterport’s enterprise business platform. The role involves cross-functional collaboration, customer-facing and internal system integration, production issue resolution, monitoring live environments, and building maintainable, testable software. Candidates should have extensive cloud integration and enterprise application services experience, with expertise in modern object-oriented programming languages and familiarity with UI frameworks, ERP/CRM platforms, databases, containers, and CI/CD.

Lead the design, development, deployment, and monitoring of scalable platform features, APIs, backend services, integrations, and microservices. Work with relational and non-relational databases in a cloud environment, collaborate cross-functionally, promote engineering best practices, troubleshoot production issues, and mentor junior engineers.

Lead quality engineering and test automation for Zscaler's distributed security cloud. Use AI-assisted frameworks to generate and execute test plans, validate bug fixes, and collaborate with developers and product. Support core cloud operations including phased rollouts, feature enablement, alert handling, capacity planning, performance benchmarking, chaos testing, and diagnosing complex distributed failures to maintain high availability.

Lead architecture and development of embedded networking software for surgical robotic systems. Own multi-year technical direction across the network stack, including reliability, low-latency switching, traffic shaping, messaging, session management, Ethernet drivers, and real-time safety-critical paths. Mentor engineers, lead reviews, resolve complex hardware-software failures, guide technology selections, and collaborate across engineering, clinical, and manufacturing teams.

Develops software, algorithms, and infrastructure for automated electro-mechanical equipment used to manufacture and test robotic surgical systems and medical devices. Responsibilities include hardware integration, manufacturing process optimization, validation activities, production software support, software architecture, diagnostic strategy, cross-functional project leadership, and mentoring engineers. The role requires strong software design, system-level thinking, analytical problem-solving, and technical leadership in a regulated manufacturing environment.

Build and support simulation services, integrate physical models into products, develop automated and off-nominal test scenarios, and improve simulation tools through stakeholder feedback. The role contributes to architecture, technical proposals, planning, cross-functional delivery, and mentoring engineers. Strong Python and C++ experience is required, with preferred experience in numerical simulation, statistical analysis, Julia, Linux, Docker, Kubernetes, cloud deployment, Software-in-the-Loop simulation, and CI/CD.

Own the technical vision and multi-year architecture for hyperscale build infrastructure, including build orchestration, containerized environments, remote execution, caching, and reproducible C/C++ builds. Improve build performance, reliability, correctness, and developer experience; establish operational metrics and standards; guide migrations; influence engineering leaders; mentor engineers; and represent build infrastructure expertise across the organization.