Software Engineer Jobs in Santa Clara, CA

Lead architecture and development of scalable, secure, cloud-native software platforms for intelligent networking, distributed data processing, real-time analytics, and AI agent experiences. Design high-volume, low-latency systems; guide software development across the full lifecycle; mentor engineers; and solve complex technical problems involving microservices, network telemetry, cloud infrastructure, and generative AI.

The Staff Software Engineer will lead the strategy and development of metrics to evaluate autonomous driving software performance, collaborating across teams and inventing new ML methods for performance evaluation.

As a Senior Software Engineer, you will design metrics, analyze autonomous systems, develop algorithms, and build evaluation dashboards while collaborating with multiple teams to ensure AV quality and performance.

Design and maintain test infrastructure for simulation validation in autonomous vehicles, collaborating across teams to enhance reliability and efficiency.

Design, develop, test, and extend NVIDIA’s large-scale object storage platform. Responsibilities include improving availability, reliability, durability, fault tolerance, and performance across deployments exceeding 10,000 nodes and exabytes of data. The role also automates storage infrastructure provisioning, management, and monitoring; supports AI/ML research teams; owns product delivery through support; and contributes to open-source storage projects.

The Software Engineer will develop and maintain scalable backend systems, manage big data systems, and integrate cloud services, especially AWS, ensuring security and performance while providing mentorship to junior engineers.

Develop scalable front-end systems for complex web applications, ensuring security and performance while collaborating with teams.

The Software Engineer will design, build, and deploy scalable applications, ensuring application security and resolving performance issues in collaboration with cross-functional teams.

Design and optimize low-latency C/C++ systems for real-time streaming over 5G, Wi‑Fi, and other wireless networks. Integrate with cellular and platform APIs, analyze packet captures and telemetry to fix latency and packet loss, develop KPIs and test frameworks, build realistic wireless simulations, and partner with cloud, automotive, carrier, and platform teams to deliver scalable connectivity solutions.

Design, build, and optimize production-quality systems for interactive world models, simulation, rendering, and real-time GPU inference. Integrate generated worlds, reconstructed scenes, and evaluation loops into scalable, reliable end-to-end systems while collaborating across research and product teams to move prototypes to production.

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

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.

Design and implement onboard application software in modern C++, collaborate with cross-functional teams to align interfaces and execution models across the autonomy stack, and contribute to building autonomy systems for on-road and off-road vehicles.

Develop core middleware components for an SDV platform using C++; implement high-performance communication services (SOME/IP, DDS, Protobuf/gRPC), work on AUTOSAR Adaptive clusters, optimize multithreading and networking on Ethernet, and design system management (health, diagnostics) for safety-critical distributed vehicle systems.

Design and implement low-speed motion planning and control modules for autonomous vehicles, characterize vehicle dynamics to close sim-to-real gaps, evaluate academic research, and build optimal-control solutions (e.g., nonlinear MPC, MPPI) deployable on production vehicle platforms.

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.

Design and ship deterministic, safety-critical classical or ML motion planners for fallback and minimal-risk maneuvers. Build planners for degraded perception and partial observability, evaluate behavior at scale using simulation and real-world data, develop metrics and analysis tools, and collaborate with perception, prediction, controls, safety, and remote assistance teams to deliver a reusable fallback platform.

Build tools and infrastructure to enable large-scale end-to-end autonomy research and productionize self-driving software. Scale training, manage large datasets, identify and remove bottlenecks across GPU compute, data curation, and evaluation systems while collaborating with AI research and engineering 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, implement, and evaluate perception algorithms and 4D world representations for autonomous vehicles. Train and deploy ML and computer vision models from data collection to production, test on real vehicles, and collaborate with data, behavior, and research teams to deliver production-ready autonomy software.

Own and maintain HD maps infrastructure across products. Define map storage formats, distribute map data for UIs, data pipelines, storage, and SDKs. Collaborate with engineers and customers to design and build mapping and localization features for autonomous vehicle and simulation applications.

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.

Design and implement scalable, secure Over-the-Air update platforms in C++ and Go. Build cloud-native infrastructure, package management, CDNs/PDNs, secure delivery pipelines (cryptographic signing, encrypted channels), containerized deployment, monitoring and analytics, and support large-scale device fleets across embedded Linux and RTOS devices.

Build scalable telematics backend systems and data pipelines to ingest, process, and analyze high-volume real-time telemetry from millions of devices. Design microservices, cloud storage, D2D communication, and integrate analytics/ML for predictive maintenance and fleet insights. Collaborate cross-functionally to deliver production-grade, high-availability telematics solutions.

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.