Software Engineer Jobs in Sunnyvale, CA

Serve as technical lead between NVIDIA and hyperscale CSPs on GPU firmware and system software. Drive firmware update orchestration, recovery procedures, multi-GPU coordination, telemetry/health monitoring, and incorporate CSP feedback into NVIDIAs roadmap to improve fleet-scale manageability and reliability.

Lead technical engagements with cloud service providers on rack-scale system software and firmware. Drive architecture alignment, integration readiness, error handling and recovery, health telemetry, firmware orchestration, and serviceability. Capture CSP feedback, influence NVIDIA system software design, improve tooling and tests, and mitigate execution risks through early collaboration.

Responsible for implementing metrics to evaluate the driving behavior of the Nuro Driver, ensuring safety and performance through collaboration and technical expertise.

Lead the architecture and development of high-performance onboard systems for Nuro's autonomous vehicles, mentoring engineers and ensuring technical excellence.

Improve distributed input data pipelines for large-scale ML training workloads, collaborating with researchers to enhance data processing systems and implement advanced ML infrastructure tools.

The role involves designing, building, and maintaining scalable core services, ensuring reliability for user-facing services, and collaborating with cross-functional teams.

The role focuses on enhancing customer data security, leading security engineering initiatives, and promoting data security practices throughout the organization.

Design and automate networking foundations for large-scale compute clusters. Lead development of secure, scalable connectivity across cloud providers to support data and AI workloads.

Develop and deploy perception ML models for autonomous vehicles (detection, sensor fusion, tracking, classification, intent). Own end-to-end lifecycle: POC, model iteration, onboard deployment, monitoring, and optimization for latency and scale.

Design and build backend services that run AI/model inference on real-time streaming data. Own end-to-end features, make cross-team architectural decisions, ensure reliability and operability, participate in on-call, and mentor engineers while driving production-grade rollout and testing.

Build and maintain infrastructure automation, integrations, and SRE tooling. Develop backend services, infrastructure-as-code, observability, and provisioning for bare metal, VMs, and Kubernetes. Collaborate with hardware, software, and AI teams, drive operational excellence, and provide technical leadership.

Design, implement, and enhance cloud backend services for Netskope Client; build high-throughput, scalable APIs; deploy and manage containerized workloads on Kubernetes; collaborate with product, QA, and stakeholders; write tests, debug distributed systems, and ensure reliability, scalability, and observability for cloud security solutions.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly detection, visualization and analysis tools, and frameworks for failure classification and regression detection. Extend compilers, runtimes, and instrumentation for advanced profiling. Improve bring-up and low-level debug workflows, partner cross-functionally across hardware, firmware, compiler and runtime teams, lead high-impact initiatives, and support incident response and long-term corrective actions.

Design and implement C++11+ software across the full stack, infrastructure, robotics, and graphics for autonomy products. Own technical and product decisions, write design documents, mentor engineers, and collaborate with domain experts to build tools and features for customers' autonomy workflows.

Design, build, and scale open-source data infrastructure across collection, ingestion, storage, querying, and retrieval. Improve ingestion pipelines, expose performant query interfaces and integration hooks, and deploy reliable data platform features across cloud, hybrid, and on‑prem environments.

Design and implement full-stack, infrastructure, robotics, and graphics solutions for autonomy development workflows. Scope and lead complex architectural work, influence technical strategy, deliver new products and features across the stack, and mentor other engineers while interacting closely with users.

Architect and develop reliable embedded software for vehicle platforms. Integrate vendor components and low-level peripherals, implement RTOS and Android/AOSP services, perform deep hardware and Android debugging, bring up and productionize custom device software, and collaborate cross-functionally to maintain product releases.

Design and implement embedded firmware for vehicle platforms: integrate vendor components (CAN, LIN, I2C, SPI, UART), develop RTOS applications, write high-quality C code for real-time and safety-critical systems, support hardware bring-up and SoC debug, and collaborate with cross-functional teams to productionize and maintain products.

Build and operate end-to-end ML infrastructure: distributed cloud GPU training, datasets, training frameworks, evaluation, deployment, and integrate pipelines into product workflows while collaborating with modeling teams.

Lead end-to-end feature development across the full stack, collaborate with product, design, and customer engineering, mentor and review code for a team of engineers, and incorporate customer feedback to iteratively improve automotive software products.

Design and implement full‑stack, infrastructure, robotics, and graphics solutions for autonomy workflows. Develop new products and features, write design documents, mentor engineers, own technical and product decisions, and collaborate with domain experts and customers to shorten time to market.

Design and implement a full-stack operating system: kernel, system services, runtime, application framework, BSPs, HALs, and device drivers. Write and review performance-critical code, implement IPC, memory management, security sandboxing, networking, and power/performance features. Collaborate with hardware partners/OEMs, engage with open-source projects, and mentor engineering peers.

Design and optimize real-time C++ systems that stream live video, kinematics, and sensor data into computer vision and ML inference for robotic surgical navigation. Implement low-latency data pipelines, registration/calibration algorithms, integrate ML models, collaborate with UI/graphics teams, and own the navigation software lifecycle from requirements through verification and release in a regulated medical-device environment.

Develop and execute automated software tests and test protocols for a robotic surgical platform; contribute to CI/CD pipelines, test plans, reliability verification, data analysis, issue logging, cross-functional debugging, and generate dashboards and executive summaries.

Design, develop, and optimize scalable full-stack software systems; contribute hands-on code; implement agile processes; collaborate with hardware, AI, and cloud teams to deliver integrated GenAI solutions; stay current with tools and best practices.