Software Engineer Jobs in Sunnyvale, CA

Design, build, and scale agentic AI platforms using LLMs, RAG, and multi-agent frameworks. Integrate agents with enterprise data, microservices, and ServiceNow. Ensure reliability, observability, and guardrails, mentor engineers, and collaborate with Cloud and AI teams to deliver production-grade autonomous systems.

Own and architect the L4 trucking fallback stack: define interfaces to perception, planning, control and remote assistance; design degraded driving and minimal risk maneuvers; specify detection algorithms for autonomy degradation; collaborate with cross-functional teams and provide technical leadership and mentorship.

Research and productionize emerging AI capabilities for healthcare: build orchestration infrastructure and channel adapters, chain LLM tool calls, deploy browser agents and self-improving harnesses, and turn prototypes into production. Own product lifecycle from ideation to customer delivery, establish best practices for quality, testing, deployment, and observability, and collaborate with product, design, and clinical teams in a fast-moving environment.

Develop and maintain firmware and embedded software for aircraft and station systems (microcontrollers and embedded Linux). Lead board bring-up, device drivers, sensor and peripheral integration, hardware/software debugging, verification, and field support. Collaborate across Electrical, Mechanical, Onboard Software, Operations, Safety, and Production to deploy and harden embedded subsystems for production fleets.

Develop core components of the CUTLASS platform, contribute to the MLIR-based backend compiler stack, and author example kernels while collaborating with GPU architecture teams.

Design and build next-generation autonomous vehicle systems spanning prediction, decision, planning, and control. Integrate classical safety stacks with large-scale AI foundation models and inference architectures. Develop world-model based planning, end-to-end driving pipelines, system-level safety and fallback strategies, and production-grade AV software from perception through control.

Design and implement idiomatic, safe Rust libraries and APIs for CUDA GPU computing; build Rust abstractions over native C/C++ interfaces; develop and maintain supporting C/C++ components; ensure FFI and Python interoperability; optimize cross-language and GPU performance; own features end-to-end including testing, profiling, benchmarking, documentation, packaging, and maintenance; collaborate with compiler, runtime, and Python teams; investigate and resolve safety, correctness, compatibility, and performance issues.

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.

Serve as NVIDIA's CSP-facing principal for end-to-end performance: drive characterization with hyperscaler engineering teams, gather and synthesize workload feedback, prioritize optimizations across CUDA/NCCL/driver/firmware, validate benchmarks and tools, update stress/profiling tooling, define test strategies, and ensure performance integration and acceptance for customer-representative configurations.

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.

The role involves benchmarking deep learning models on NVIDIA GPUs, improving software performance, and developing automation tools for performance optimization.

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.

Lead architecture and development of a high-scale experimentation platform for AI products. Drive cross-team technical direction, ensure scalability, reliability, security, and mentor senior engineers while owning live-site operations and incident retrospectives.

Lead design and implementation of security systems and controls for large-scale AI and HPC cluster infrastructure. Drive incident response, risk assessment, system hardening, governance, audit readiness, and cross-team collaboration to protect hardware, software, and datacenter platforms.

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 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.