Software Engineer Jobs in Sunnyvale, CA

Sets technical direction for counterfactual autonomy behavior validation, including scene reconstruction, human and road-user response modeling, controlled scenario variation, simulation pipelines, outcome estimation, and validation. Converts real incidents into reproducible, auditable scenarios and establishes confidence, traceability, and appropriate use of simulation results. Leads cross-functional work across safety, simulation, human factors, legal, product, and operations to produce engineering actions, safety-case evidence, and release recommendations.

Build and ship driver-facing AI experiences for GM vehicles using Kotlin and Android Automotive. Own features end to end across conversational behavior, on-device fulfillment, vehicle integration, UI, connected services, validation, and iteration. Prototype and productionize intelligent capabilities, diagnose issues across application and cloud boundaries, establish engineering patterns, collaborate cross-functionally, mentor engineers, and influence the roadmap for in-vehicle AI products.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build and own distributed runtime infrastructure for Moveworks’ AI agents, including agent orchestration, long-running session management, event-driven messaging, structured concurrency, observability, caching, and state layers. Design reliable, scalable backend systems supporting multi-step workflows, tool calls, human interactions, crash recovery, real-time streaming, and low-latency responses for enterprise users.

Build and own distributed runtime infrastructure for Moveworks AI agents, including orchestration state machines, session leasing and recovery, event-driven messaging, asynchronous concurrency, observability, caching, and state layers. Design production backend systems that handle high-scale real-time traffic while ensuring correctness, low latency, fault tolerance, traceability, and graceful recovery across long-running agent workflows.

Build and own distributed runtime infrastructure for AI agents, including orchestration state machines, session management, event-driven pipelines, structured concurrency, observability, caching, and state layers. Design highly reliable, low-latency backend systems using Python or Go, DynamoDB, SQS, Kafka, Redis, gRPC, and OpenTelemetry. Handle long-running workflows, leases, checkpointing, concurrency, streaming, tracing, and production-scale traffic.

Build and own distributed runtime infrastructure for AI agents, including orchestration engines, long-running session management, event-driven pipelines, concurrency systems, observability, caching, and state layers. Design highly reliable, low-latency backend systems using Python or Go, DynamoDB, SQS, Kafka, Redis, gRPC, and OpenTelemetry. Handle distributed coordination, crash recovery, streaming, tracing, and production traffic at scale.

Build and operate reliable, high-performance distributed backend systems for Nuro’s autonomous ride-hailing product. Responsibilities include ride planning, vehicle matching, real-time trip execution, partner API integrations, and telemetry pipelines displaying live vehicle data. The role requires end-to-end product ownership, strong GCP experience, system design expertise, and technical leadership through mentoring and architectural decision-making.

Troubleshoot complex software issues on customer sites, manage expectations and prioritize requests, validate customer scenarios, engage with product teams for readiness, develop and deliver software training, and mentor junior engineers.

Build production-grade automation for diagnosing and resolving CI/CD failures, identifying regressions and problematic merges, and improving developer time-to-signal. Design scalable compute and storage across cloud and on-premises environments, lead release engineering practices, integrate AI with deterministic automation, and promote tooling and engineering best practices across development and quality teams.

Design and build scalable backend and data systems supporting Uber’s global marketplace. Lead high-impact engineering projects, establish frameworks and best practices, resolve architectural challenges, oversee incident management, and collaborate across Product, Science, and Operations. Mentor engineers, drive technical roadmaps, and deliver reliable systems optimized for performance, correctness, and large-scale distributed workloads.

Develop platform and system software for NVIDIA GPU and SOC products, including kernel device drivers, firmware interactions, health monitoring, observability platforms, backend data pipelines, and production applications. Build scalable metrics, logging, and tracing systems while collaborating across software, cloud, data center, and product teams. Apply expertise in Linux internals, operating systems, computer architecture, concurrency, performance profiling, CPU-GPU interactions, PCIe, memory hierarchy, and AI workloads.

Build and operate production-grade AI, data, and distributed systems for fraud intelligence. Responsibilities include real-time data pipelines, high-throughput architecture, LLM-powered agentic workflows, AI tooling, rule and label automation, ML pipeline productionization, privacy safeguards, and cross-functional collaboration. The role requires strong Python engineering, distributed systems, cloud infrastructure, big data technologies, and machine learning fundamentals.

Lead Windows low-level software development for silicon bring-up, platform validation, and product enablement. Prototype and evaluate hardware/software designs, debug system-level issues across silicon/firmware/drivers, analyze performance, and build scalable automation, diagnostic, and regression test frameworks in collaboration with cross-functional and external partners.

Develop platform software for SOCs, including drivers, BSP, CI/CD automation, OS and multimedia driver bring-up, debugging, and system-level triage. Collaborate with OEMs and global engineering teams across the full product lifecycle from pre-silicon modeling through production. Contribute to architecture definition, boot, security, reliability, resiliency, and embedded-system software for Windows and Linux platforms.

Design and implement control plane software spanning SDN, ground systems, satellites, and terminals. Build scalable services and APIs for provisioning, configuration, automation, telemetry, and network operations. Address dynamic network conditions and integrate with cloud and on-premises platforms. Collaborate across data plane, platform, embedded systems, product, and quality teams while contributing to architecture, implementation, testing, debugging, and system integration.

Lead the technical vision, architecture, and implementation of the Data Ocean platform, building high-performance distributed storage capabilities across object, file, and block storage. Develop production C/C++ systems for caching, namespaces, tiering, replication, metadata, and data mobility. Drive architecture reviews, performance optimization, testing, and operational excellence while mentoring engineers and coordinating technical execution across global Engineering, Product, Architecture, cloud, and DevOps teams.

Build and maintain full-stack internal tools, web applications, backend services, APIs, automation, and cloud infrastructure supporting Honda engineering and QA teams. Work across AWS and Google Cloud Platform, integrate databases and source control systems, troubleshoot issues across the technology stack, automate workflows, and evaluate technologies that improve software development and testing productivity.

Develop high-performance dataplane software for TeraWave satellite communications points of presence. Responsibilities include building C/C++ packet-processing applications, optimizing 100G/400G line-rate performance, implementing routing and tunneling protocols, integrating SmartNIC and FPGA accelerators, architecting distributed systems, conducting code reviews, mentoring engineers, and collaborating with hardware, platform, and networking teams.

Develops and validates autonomous driving software across perception, localization, planning, prediction, and control modules. Responsibilities include software implementation, ML data pipeline development, driving log analysis, simulation and emulation, vehicle testing, algorithm research, and collaboration with Isuzu teams, partners, and research institutions. The role requires Python and C++, machine learning frameworks, robotic middleware, embedded deployment, real-time validation, and familiarity with automotive systems, CAN, functional safety, and autonomous driving architectures.

Lead architecture, design, and implementation of scalable MyAccount web and platform capabilities. Drive technical strategy across teams, develop applications and APIs, improve reliability, performance, observability, and security, and ensure robust automated testing. Mentor engineers, influence architectural decisions, connect technical initiatives to business goals, and maintain operational ownership of customer-facing systems.

Design, build, and operate secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; integrate container runtimes, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, GPU, and security architecture.

Design and develop platform driver code across kernel and user space to model, stress, and verify hardware. Collaborate with hardware, software, and mechanical engineering teams to create test suites, support prototype bring-up, and enable large-scale AI datacenter deployments. Contribute to platform software architecture, system validation, and a collaborative startup culture.

Architect and develop highly scalable Android experiences and backend platforms for Uber One membership across UberEats and UberX. Lead technical strategy, Android feature development, platform evolution, microservices and API design, architectural improvements, testing and monitoring standards, incident management, and end-to-end delivery of complex technical projects. Collaborate with engineers, product managers, data scientists, designers, and external partners to deliver reliable products used globally.

Design and implement high-performance datapath features for load balancing, firewall rules, and Layer 7 protocols. Build scalable networking and security systems using C or C++, data structures, algorithms, and Unix/Linux optimization. Own architectural projects from conception through large-scale deployment while applying advanced knowledge of DNS, HTTP, TCP/IP, and SSL/TLS. Use AI tools to improve engineering workflows and problem-solving.