Software Engineer Jobs in Sunnyvale, CA

Build and maintain cloud-native, large-scale services for deploying, running, fine-tuning, and observing AI agents. Contribute to distributed systems, backend services, tooling, debugging, design discussions, and delivery of production-ready features with strong testing and reliability practices.

Develop software, frameworks, data pipelines, and quantitative methods to measure confidence in autonomous vehicle validation. Analyze simulation and real-world test data, evaluate coverage and predictive validity, detect regressions, define metrics and decision criteria, and improve validation workflows. The role requires collaboration across simulation, safety, autonomy, and release teams to support risk, readiness, and release decisions with defensible evidence.

Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.

Develop and maintain CrowdStrike's macOS sensor using C/C++ and Swift. Design and deliver core endpoint features across OS subsystems (file system, memory, process, networking), optimize for concurrency, performance, and reliability, own features end-to-end, collaborate with distributed teams, and troubleshoot customer-reported issues.

Design, build, operate, and own scalable backend services and APIs for internal and customer-facing applications. Improve performance, observability, security, and reliability; lead architecture and API standards; troubleshoot production issues; support CI/CD and automation; mentor engineers and drive backend best practices across teams.

Develop and integrate embedded vehicle software across workstation, SIL, HIL, and target hardware. Own customer integration projects, integrate AUTOSAR software components and ARXML against generated RTE contracts, collaborate across software and hardware teams, and troubleshoot system reliability issues. The role requires embedded C/C++, electronic systems debugging, Linux, and Bash, with automotive protocols, AUTOSAR, Python, and CI/CD experience preferred.

Build and maintain scalable 3D simulation software for digital twins and synthetic data generation. Develop backend services, AI agents, distributed computing solutions, cloud applications, and frontend components. Optimize performance and reliability, collaborate with product and cross-functional teams, participate in code reviews, and guide innovative solutions involving physical AI, computer graphics, and deep learning.

Design, build, and operate large-scale, highly available platform services across GitHub (Actions, Enterprise AI, Identity, Billing, Git systems, database infrastructure). Provide technical leadership, mentor engineers, own architecture and APIs, participate in on-call incident response, drive reliability, security, testing, and roadmap decisions across cross-functional teams.

Defines technical vision and architecture for agentic engineering across Windows Silicon and System Integration. Leads AI systems from experimentation through production, creating closed-loop workflows for telemetry-driven issue detection, diagnostics, debugging, remediation, and validation. Establishes standards for orchestration, evaluation, observability, reliability, security, privacy, and responsible AI. Influences technical leaders, drives cross-organizational adoption, measures engineering impact, mentors teams, and expands successful agentic capabilities across Microsoft.

Build and productize agentic AI systems for GPU software development. Responsibilities include developing LLM-powered pipelines for code generation, bug triage, regression detection, and test analysis; creating MCP-based integrations with developer systems; owning agent lifecycle and evaluation; measuring quality metrics; and partnering with GPU kernel engineers to deploy reliable automation across software teams.

Design, build, and maintain high-performance backend systems and RESTful APIs using C# and .NET. Develop and optimize raw MySQL queries, support legacy .NET Framework code, manage multi-tenant databases, and integrate third-party platforms through REST APIs, webhooks, JSON, and OAuth 2.0. Use Visual Studio, Git, Azure DevOps, Docker, and cloud environments such as AWS and GCP. React, TypeScript, and Java experience are beneficial.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Design platform APIs, plugins, SDKs, job orchestration, authentication, RBAC, observability, testing, and reliability features. Provide technical leadership through architecture and code reviews, mentoring, and ownership of complex cross-component problems.

Design, develop, and deliver scalable software systems and APIs across the full lifecycle. Lead architecture, integrate AI/ML components, implement microservices/serverless and CI/CD, ensure security, observability, and performance, mentor engineers, and collaborate with product and business stakeholders to meet timelines and quality standards.

Develop and own containerized microservices for a distributed, multi-tenant cybersecurity platform. Build real-time data and telemetry pipelines using Go and SQL, deploy services on Kubernetes and public clouds, and manage the full software development lifecycle. Responsibilities include system design, implementation, testing, deployment, operations, customer-focused requirements refinement, and mentoring junior engineers and interns.

Design and build NVIDIA’s enterprise AI agent platform, including agent blueprints, runtime safety and policy enforcement, multi-agent orchestration, credential brokering, checkpointing, observability, evaluation, and self-improvement loops. Deploy reliable long-running services at scale, integrate enterprise systems, support secure execution, and participate in on-call operations. The role requires extensive distributed systems or infrastructure experience and hands-on agent development.

Provides customer-facing technical support for SiFive processor IP and datacenter platforms. Resolves software issues involving simulations, toolchains, firmware, operating systems, and hardware development platforms; performs benchmarking and performance analysis; delivers customer training and demonstrations; creates documentation and application notes; and collaborates with engineering, sales, and marketing as a technical escalation point.

Build and operate a security data platform connecting SIEM, identity, asset, threat intelligence, and knowledge graph systems. Design core APIs, distributed data pipelines, schemas, risk scoring, entity resolution, and coverage queries. Own architecture and platform workstreams from scoping through delivery, collaborate with detection and identity teams, review code, mentor engineers, and drive partner adoption. The role requires expert Python, deep Splunk expertise, cybersecurity experience, and senior-level project ownership.

Build and operate critical software for power-campus design, construction, simulation, optimization, equipment integration, and energy management. Own technical areas, shape roadmaps, make architectural decisions, debug production systems, establish data models and interfaces, improve testing and observability, and mentor engineers. The role collaborates across power systems, construction, robotics, and company leadership to deliver reliable software interacting with physical infrastructure.

Lead a team developing software metrics and evaluation systems for autonomous-driving quality. Define strategy and roadmaps, analyze simulation and real-world driving data, improve code health, and collaborate with engineers, data scientists, statisticians, and leadership to deliver data-driven evaluation products.

Develop collision avoidance and detection software for Nuro’s autonomous driving platform. The role spans perception, planning, and control, with emphasis on high-precision, low-latency systems, rare-event validation, ML-based perception, object tracking, data curation, and compute optimization. Candidates will deploy robotics software and contribute to safety-critical parallel autonomy systems.

Own the Linux user-mode runtime, driver, and HAL interfaces for a Fabric accelerator. Responsibilities include runtime library design, compiler and kernel-driver integration, memory and resource management, ML framework backends, pre-silicon bring-up using simulation, emulation, QEMU, and FPGAs, and comprehensive runtime testing. Collaborate across compiler, architecture, verification, and kernel teams to support first-silicon deployment.

Develop and maintain end-to-end LiDAR and camera perception software for robotics platforms. Responsibilities include sensor drivers, ROS 2 packages, GPU-accelerated processing, calibration, synchronization, recording and playback tools, Docker environments, packaging, CI/CD, hardware-in-the-loop testing, and production release automation. The engineer will support integration issues and collaborate closely with hardware, silicon, algorithm, manufacturing, and customer teams.

Design and build scalable neural simulation systems that transform real-world driving data into high-fidelity simulation environments and synthetic labeled data. Develop distributed data-processing systems, ML training, evaluation, validation, and inference pipelines, plus storage solutions for multimodal data. Improve reliability, observability, and performance while collaborating with infrastructure, autonomy, research, and product teams.

Own and deliver full-stack software components supporting autonomous vehicle fleet operations. Design APIs, microservices, data pipelines, and operator interfaces; lead technical projects; improve system reliability, performance, testing, and code quality; and collaborate with operations, autonomy, and cloud infrastructure teams. The role also involves architectural decisions, cross-functional advising, technology adoption, and mentoring.

Design and own geometric map-generation algorithms processing large-scale lidar data into automated 3D maps. Improve distributed map-building pipeline runtime, scalability, and data quality; diagnose failure modes and deliver measurable algorithmic fixes. Collaborate on data contracts and integrations while applying geometric optimization, spatial transforms, point-cloud processing, and mapping techniques for autonomous vehicles.