Qualcomm seeks a Staff Product Data Manager for AI Platforms & Systems Solutions to define product strategy and drive cross-functional decision-making for edge AI/ML platforms, inference runtimes, and agentic frameworks. The role requires deep technical expertise in Windows-ecosystem AI platforms, LLM/VLM models (1B–150B range), edge AI APIs/SDKs, and AI middleware frameworks, combined with the ability to work independently, influence senior leadership, and manage complex multi-year initiatives across matrixed organizations.… Responsibilities include assessing feasibility, translating innovation into shippable solutions, negotiating partnerships, and authoring technical specifications—all with minimal supervision and significant organizational impact. The ideal candidate brings 10+ years in product management or technical roles, experience shipping AI platforms, familiarity with standards bodies, and strong communication skills to convey complex information to diverse audiences.
sdks jobs in San Diego
Cloudflare seeks a Senior Customer Engineer to serve major accounts in the Southwest, acting as a trusted technical advisor on enterprise network and security architectures. The role combines deep consultative skills with hands-on technical expertise across Internet fundamentals, security, performance, and developer platforms—translating complex technical concepts into business outcomes for both engineering teams and C-suite executives.… The engineer will demonstrate architectural breadth in at least four domains (OSI layers, BGP, WAF, Zero Trust, caching, AI/LLM workflows, scripting, or cloud-native development) and drive customer adoption through technical enablement, custom integrations, and solutions design. This is a quota-carrying, revenue-aligned customer-facing role requiring exceptional communication, SaaS business acumen, and the ability to navigate full-lifecycle enterprise sales cycles.
Lead the Firestorm OS team—a Linux-based common software platform across modular autonomous aircraft. You will own technical direction, platform architecture, and execution while coordinating across autonomy, avionics, electrical, mechanical, and systems engineering.… Responsibilities include defining system boundaries and interfaces, building reusable Linux services and SDKs, driving integration of new hardware and payloads, and establishing engineering practices for testing, debugging, and release. You must have 8+ years shipping embedded/Linux software, 3+ years leading engineering teams, deep C/C++ and Linux fundamentals, and experience designing platforms and APIs used across multiple products.
Lead Shield AI's Shared Services Engineering team, building and operating common APIs, SDKs, and customer-facing applications across the product portfolio. This is a hands-on technical management role requiring 7+ years of software engineering experience including team leadership, where you'll guide architecture and delivery of full-stack systems, establish secure and versioned interfaces for internal and external customers, and balance roadmap priorities across product needs and operational health.
A senior software integration engineer responsible for debugging complex systems spanning Linux, networking, hardware interfaces, and distributed software components. The role involves building Docker-based deployment workflows, participating in field testing and demonstrations, and collaborating with core teams to integrate payloads and external systems through APIs, SDKs, and communication protocols.… Requires 5+ years of software engineering experience with strong fundamentals across the stack, proficiency in modern languages (C++, Python, Rust, Go, Java, TypeScript), and deep Linux and networking knowledge. The position emphasizes production-ready reliability, ability to modify large codebases quickly, and hands-on support for fielded systems.
Staff AI Engineer
ExpiredThis Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.… Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.
As a Product Manager for Hexagon and RISC-V embedded software, you will define product strategy and roadmaps for edge AI and heterogeneous compute platforms, drive developer experience across toolchains and RTOS ecosystems, and lead Qualcomm's engagement in open-source communities like Zephyr. You will translate market requirements into differentiated product direction, partnering with engineering, sales, and customers to identify opportunities in mobile, automotive, IoT, and compute markets.… The role requires deep technical expertise in embedded processor architectures, compilers, debuggers, profilers, and real-time operating systems, with hands-on familiarity with ARM, RISC-V, or similar architectures.
Lead the design and deployment of AI-powered marketing automation workflows, predictive analytics frameworks, and performance dashboards across Intuit's marketing organization. Build production-grade automation infrastructure on cloud platforms (GCP/AWS/Azure) that integrates AI tools into the marketing tech stack, operationalizes customer segmentation models, and scales intelligent automation globally.… Develop dashboards, attribution models, and automated reporting pipelines that quantify adoption, cost savings, and performance lift. Partner cross-functionally with product, engineering, data science, and marketing teams to architect, validate, and transition high-impact AI pilots into enterprise capabilities.
As a Staff Product Data Manager for AI Platforms & Systems Solutions at Qualcomm, you will own the product strategy, definition, and lifecycle for AI platform products and specifications spanning model enablement, agentic systems, orchestration runtimes, and open protocols. You will develop comprehensive plans of record including schedules, budgets, and resources, directing products from conception through end of life while functioning as a central resource across systems, engineering, standards, quality, marketing, and partner teams.… The role requires deep fluency in the Windows edge-AI stack, with technical depth across AI/ML models, agentic systems, orchestration engines, standards development, and hands-on experience delivering Windows-based AI products leveraging local accelerators (CPU, GPU, NPU). You will translate emerging model, agentic, and orchestration trends into differentiated product and specification roadmaps.