Software Engineer Jobs in Sunnyvale, CA

The Senior Software Engineer will develop Flutter mobile applications, integrate GraphQL APIs, mentor junior engineers, and contribute to architectural decisions for the Afero Hubspace smart home product.

As a Privacy Engineer, you will design GDPR-compliant systems, develop data anonymization techniques, and collaborate on privacy-related engineering specifications and assessments.

Design and build instrumentation, diagnostics, and onboard architectures to prevent, detect, and debug compute reliability issues across heterogeneous platforms. Lead cross-functional initiatives addressing compiler, optimization, and model-induced faults. Create scalable tools for triage and mitigation of hardware and software failures (deadlocks, memory corruption, races, leaks, latency).

The Senior Software Engineer will enhance mapping infrastructure, develop large-scale map systems, optimize performance, and collaborate with cross-functional teams.

Design, develop, test and maintain data-forwarding and offload features for Ethernet switches and SmartNICs. Implement routing, ACLs, QoS, NAT, VxLAN-EVPN and other network functions, collaborate with architects, QA and support, and lead multi-functional teams on large feature development and delivery.

Lead development and adoption of Warp by implementing CUDA C++ and Python integrations, turning CUDA features into supported functionality, integrating CUDA-X libraries, partnering with internal teams for production integration, and designing APIs and abstractions to expand simulation, optimization, and AI workloads.

The Senior Software Performance Engineer will optimize NVIDIA's autonomous driving solutions, enhance software architecture efficiency, and develop performance-driven product code in C++, collaborating with multiple teams.

Design, implement, and deploy large-scale mapping and localization systems (offline management and online loading) in C++ and Python. Provide efficient runtime map query interfaces for perception, prediction, and planning. Improve mapping/localization CI, watchdogs, and event mining. Collaborate cross-functionally and with operations on data collection, preprocessing, labeling, testing, and analysis.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Design, develop, and optimize GPU- and CPU-accelerated image and data-processing libraries. Perform performance tuning, benchmarking, and optimization across architectures; collaborate with product management and partners; provide technical leadership and guidance to library engineers; and improve library performance and maintainability.

Develop, debug, and validate low-level firmware and sensor drivers for embedded robotics platforms. Bring up IMU, camera, LiDAR, and environmental sensors, implement communication protocols (I2C/SPI/UART/CAN), collaborate on board bring-up, build validation tools/tests, troubleshoot hardware-software integration, and contribute to firmware architecture and documentation.

Architect and implement platform layer (bootloader through system software) for large embedded systems. Build SW lifecycle management (packaging, upgrades, HA), bare-metal provisioning, secure boot and SELinux policies, telemetry/observability, hardware validation/stress testing, and cloud orchestration integration (k8s/Helm/Ansible).

Lead architecture and core runtime foundations for a distributed scanner platform, driving reliability, observability, performance, and engineering rigor while collaborating with hardware and ML teams and mentoring engineers.

Lead the development and improvement of simulations for the Waymo Driver by collaborating closely with engineers, enhancing performance, and scaling architecture.

Develop signals to measure the performance of the Waymo driver, analyze data, improve metric quality, and collaborate on evaluation products for autonomous driving software.

Develop and optimize LiDAR-based perception software for autonomous driving applications, utilizing edge AI platforms and machine learning algorithms, while collaborating with cross-functional teams.

Develop and deploy onboard autonomy software for self-driving vehicles, including real-time decision-making, behavior planning, and performance optimization.

The role involves developing and maintaining performance benchmarking infrastructure, ensuring platform reliability, and designing data pipelines, while collaborating across teams and driving technical vision.

The Sr. Software Engineer will own the perception data infrastructure for autonomous vehicles, dealing with large 3D datasets and ensuring high data quality for ML models. Responsibilities include architecting core data platforms, optimizing real-time data rendering, and collaborating across functions to enhance engineering efficiency.

Develop software and systems for embedded platforms at Aquabyte, focusing on sensor interfaces, network reliability, and hardware diagnostics while collaborating with research teams on machine learning models.

Design and architect cloud-native, high-scale microservice systems using Java and Spring. Build and operate cloud services (preferably AWS), apply DevOps and CI/CD practices, use AI-assisted development tools, provide technical leadership, solve complex problems, and collaborate with cross-functional teams.

Design and architect Java/Kotlin microservices for a multi-tenant SaaS platform. Collaborate on product development and establish deployment pipelines.

Seeking a Senior Software Engineer to design and build a microservices-based SaaS platform, focusing on Java and AWS technologies while ensuring robust deployment and customer satisfaction.

Design, develop, and execute functional and performance test plans and cases for VoIP, networking, mobile and application-based solutions. Build and maintain test labs, use automation and AI-assisted testing tools, track and drive defect resolution, report quality metrics, and collaborate with cross-functional teams to improve coverage and efficiency.

Lead improvements to behavior and trajectory prediction for autonomous vehicles. Own prediction work within Planning, collaborate with ML, Perception, Simulation, and Systems teams, refine prediction-planning interfaces, define metrics and evaluation frameworks, analyze failures via logs/simulation, and lead technical projects while mentoring junior engineers.