Software Engineer Jobs in Santa Clara, CA

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

Develop packet forwarding features for PTX Series Routers, engage with customers, and collaborate with product and testing teams. Sustain existing features.

The role involves improving Picture and Audio Quality using Machine Learning, applying advanced techniques to enhance streaming experiences, and collaborating with engineering teams.

As a Senior System Software Engineer at NVIDIA, you will develop and optimize system software for Autonomous Vehicle products, collaborating with cross-functional teams and utilizing your expertise in C, C++, and Python.

Develop and maintain core tools for microprocessor design, including simulation and build tools. Requires systems-level programming and tool validation experience.

Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.

Build and maintain embedded and system-level software for the wafer-scale AI processor, including administrative services, Linux BSP support, hardware monitoring, diagnostics, and cross-team collaboration to improve reliability and observability.

The role involves designing and implementing a PHY validation framework, collaborating with teams for automation, integrating systems, and mentoring engineers while optimizing validation processes.

Lead design and delivery of scalable backend systems, APIs, and data orchestration for global compliance. Own features end-to-end, ensure reliability, mentor engineers, participate in on-call, and collaborate cross-functionally to drive product and architecture decisions.

Lead design and execution of scalable, automation- and AI-enabled quality engineering strategies. Develop complex test plans and frameworks, apply data analytics to predict and prevent defects, debug and validate complex software systems, drive cross-functional initiatives, and provide technical leadership on product quality and corrective actions.

Design and build end-to-end user features and multi-step AI workflows. Architect reliable, private, high-performance systems and infrastructure. Fine-tune and evaluate LLMs, mitigate hallucinations, and translate research into production. Drive product-focused engineering decisions and benchmarks to improve data and model performance.

Develop and refine a next-generation medical robotics platform: learn and extend existing codebase, collaborate with controls/mechanical teams, design experiments to characterize performance, turn prototypes into production-quality software, architect modular distributed systems, and maintain design-control documentation to meet medical device standards.

Design, build, and operate large-scale distributed systems in Go to ingest, process, and analyze file-based threat data. Work across storage, message queues, APIs, and data pipelines; improve reliability, observability, and performance; and integrate AI-augmented development practices with security researchers and engineers.

Lead architecture and implementation of embedded software for a novel surgical robotic platform. Drive cross-functional requirements, prototype development, FPGA/PCB bring-up, risk analyses, and system integration for multi-processor, real-time systems compliant with medical device regulations.

Design and implement front-end and back-end systems for a regulated BCI clinical UX and cloud platform. Build real-time and offline rendering engines for high-frequency physiological data, develop APIs and data models, perform rapid prototyping, follow IEC 62304-compliant SDLC, produce documentation, and support clinical teams (travel up to 10%).

Design and implement full-stack, infrastructure, robotics, and graphics software for autonomy products. Own technical and product decisions, collaborate with domain experts and customers, and deliver features and tools to accelerate autonomy development workflows.

Develop and maintain internal, mission-critical software and platforms to automate processes and reduce manual work. Own end-to-end delivery, contribute to systems architecture and technology selection, and assist integration of core systems (ERP, PLM, MES, Supply Chain) to streamline handoffs across teams.

Build and maintain large-scale data and ML platforms to ingest, process, store, label, and transform petabytes of multimodal sensor data. Develop high-performance distributed processing systems and data curation/tagging tooling. Collaborate with cross-functional teams to enable dataset discovery and training-ready pipelines using modern data stack technologies.

Design, develop, integrate, and test flight and firmware for satellite systems. Implement application, platform, and driver code for ARM Cortex-M embedded devices (bare-metal/RTOS), collaborate with hardware and software teams, select technologies, and develop hardware-in-the-loop test strategies through on-orbit operations.

Build and improve core libraries, frameworks, and developer tooling to increase engineering velocity. Work on build and CI infrastructure (Bazel, Buildkite), collaborate cross-functionally to improve code quality, testability, and release processes, and define best practices for developer workflows.

Develop and integrate Unreal Engine-based realtime 3D simulation features, bridge the core simulation engine with Unreal, utilize Cesium for large-scale environments, customize plugins and content ingestion, deploy engines on local and cloud platforms, and optimize simulation performance and accuracy.

Build a configurable, stable frontend platform for Defense autonomy tooling including 2D/3D map rendering, mission planning, monitoring, and debrief UIs; integrate with simulators, data pipelines, and autonomous systems; collaborate with Design and cross-functional teams.

Build and maintain Android/Android Automotive OS middleware from front-end to HAL. Collaborate across application, middleware, and hardware layers to design, implement, and ship platform features and tools for vehicle software at scale.

Develop and deploy on-road behavior and planning software for autonomous vehicles, leveraging ML and perception outputs with SD maps. Implement planning modules, deploy to production hardware, test on-road, and collaborate with customer engineers.

Optimize application-layer software for embedded autonomy platforms by profiling and tuning runtime performance, resolving resource contention, ensuring efficient concurrent execution, and deploying production code on QNX/Linux/RTOS targets while collaborating with ML runtime teams.