sdk-development jobs in San Diego

Senior software engineer role developing ADAS and autonomous driving software for Qualcomm's Snapdragon Ride platform. Responsibilities include designing sensor data acquisition systems (IMU, GPS, camera, radar, LiDAR), ensuring sensor synchronization, system-level benchmarking, and collaborating with vehicle integration teams.…See more Requires strong C++/C and Python proficiency, embedded systems experience, and expertise in safety-critical software development (ISO 26262, ASIL, ASPICE).

Design, develop, and expand an SDK and Demo App ecosystem for identity document scanning hardware across Windows, Linux, and embedded systems. You'll architect core APIs integrating image processing, OCR, and barcode libraries, optimize low-latency image pipelines, and port solutions to cross-platform networked environments.…See more The role requires 3–5+ years of C++ and C#/.NET development with solid hands-on computer vision experience using OpenCV and hardware interface protocols (USB, Serial, PC/SC).

Design, develop, and maintain a multi-platform SDK and demo application for identity document scanning hardware, with responsibility for core image processing pipelines, OCR/barcode integration, and hardware communication protocols. The role requires expertise in C++, C#/.NET, and embedded systems programming, including low-latency image pre-processing, cross-platform porting to Linux and edge devices, and RESTful/WebSocket network architectures.…See more You will work closely with firmware engineers on hardware interfaces (USB, Serial, PC/SC) and produce technical documentation for global B2B clients.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. The engineer will lead the technical roadmap for agent management—from provisioning and orchestration to compliance and retirement—while ensuring AI agents are secure by design with built-in visibility and guardrails.…See more The role requires 8+ years of software architecture and backend systems experience, deep knowledge of autonomous agent frameworks (LangChain, AutoGen, CrewAI), and expertise in cloud infrastructure (AWS, Azure, GCP) and Kubernetes. You'll collaborate cross-functionally with researchers, platform engineers, and product teams to bring agentic AI capabilities to production while establishing best practices for agent safety, observability, and ethical deployment.

Build and maintain a native Go-based Identity SDK with feature parity to existing authentication libraries, including Client Bearer Token validation, cryptographic signature verification, token expiration and revocation handling, and security header injection. Integrate token validation within Go-based service mesh and proxy environments (Envoy, Istio), design migration strategies with progressive rollouts and rollback capabilities, and conduct performance benchmarking and latency optimization.…See more Collaborate cross-functionally to deliver secure, scalable identity solutions and create technical documentation for adoption by engineering teams.

Lead Shield AI's Shared Services Engineering team as a technical manager responsible for building, hiring, and coaching engineers who deliver cross-product infrastructure, SDKs, APIs, and customer-facing systems. Define and execute the team's roadmap while remaining hands-on in architecture and complex engineering decisions, balancing customer needs, operational health, and long-term technical investment.…See more Establish secure, reliable, and well-documented interfaces for internal and external users, and communicate plans and tradeoffs across engineering, product, and leadership.

Applications Engineer supporting Shield AI's autonomy software products, deployed globally (~50% travel) to integrate and support enterprise software with customers. You'll become expert in the Hivemind enterprise software stack and autonomy modules, provide technical training and support, develop AI/autonomy applications using the SDK, assist with sales demos and post-sales deployment, debug API integration issues, and collaborate with product engineering on customer feedback.…See more Requires 5+ years industry experience, 2+ years in applications/integration engineering and startup environments, strong C++ proficiency, intermediate Python, and a degree in Engineering or Computer Science.

Lead product strategy and roadmap for Intuit's next-generation Agentic AI Platform, designing core execution frameworks, agent libraries, and SDKs that enable complex reasoning and autonomous task execution across TurboTax, QuickBooks, Mailchimp, and Credit Karma. Define extensible platform architecture, drive multi-step planning and orchestration capabilities, and ensure agent observability and trust at scale.…See more Partner closely with engineering and architects to standardize agent development, deployment, and management while mentoring other product managers on technical fluency and platform thinking.

Staff engineer leading architecture and evolution of Qualcomm's Ambient Perception Platform for always-on, context-aware AI on power-constrained edge devices. Responsibilities include designing low-power AI runtime platforms, multimodal sensing systems, secure data architectures, and heterogeneous computing frameworks across Android, Linux, Windows, XR, automotive, and IoT.…See more Requires 4+ years software engineering experience (or equivalent with advanced degree), 2+ years with C, C++, Java, or Python, and expertise in embedded systems, ARM/DSP/NPU optimization, and edge AI workload efficiency. Strong preference for 8–12+ years in software architecture, platform frameworks, and heterogeneous SoC development.

Senior Software Engineer building foundational services and SDKs that power Speechify's cross-platform product experience. Responsibilities include collaborating with product teams on API design, optimizing existing functionality for performance and parsing efficiency, and shipping cloud functions and backend services in Kotlin.…See more The role requires systems thinking, rapid execution, and ability to navigate technical/UX tradeoffs across multiple product teams.

Design, develop, and expand an SDK and Demo App ecosystem for identity document scanning hardware, architecting core APIs that embed image processing, advanced calibration algorithms, and data capture libraries (OCR & barcode decoding). Optimize low-latency image pre-processing pipelines, integrate third-party recognition libraries, and port the SDK across multi-device and networked environments (Linux, embedded systems, tablets, edge devices).…See more Work closely with firmware engineers on device communication protocols (USB, Serial, PC/SC) and write technical documentation for global B2B clients. The role requires 3–5+ years of professional C++ and C#/.NET development with hands-on computer vision (OpenCV), embedded systems knowledge, and strong technical communication skills.

As a Staff Software Engineer on Qualcomm's AI Software team, you will lead design and development of core features in the Qualcomm AI Stack (QAIRT and Genie), optimizing deep neural networks and large language models for execution on Snapdragon mobile platforms. You will drive AI runtime framework components for resource-constrained mobile systems, working closely with OEM partners and customer teams to deliver features, optimizations, and bug fixes required for product launches.…See more The role demands expertise in optimizing for power, memory, and performance constraints while maintaining high code quality through design reviews and mentoring junior engineers. You will debug complex system issues across software-hardware boundaries and proactively improve developer workflows, tools, and documentation.

Lead ADAS R&D software engineering efforts for autonomous vehicle perception and decision systems at Qualcomm. Design, develop, and optimize embedded software blocks including deep-learning-based camera perception, lidar/radar perception, multi-sensor fusion, object tracking, behavior prediction, trajectory planning, and vehicle control.…See more Develop efficient middleware for sensor data sharing and SDKs enabling customer proof-of-concepts. Requires Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field plus 7 years of related experience.

As a Sr. Staff Software Engineer on Qualcomm's AI Software team, you will design and develop the Qualcomm AI Runtime (QAIRT) SDK for IoT platforms, enabling efficient execution of deep neural networks, LLMs, and modern AI architectures.…See more You will lead feature development, mentor junior engineers, and collaborate across cross-functional teams to deliver scalable AI software solutions. The role requires 8+ years of software development experience with strong C/C++ and Linux proficiency, hands-on technical leadership, and the ability to keep pace with rapid industry and academic advances in machine learning and software engineering.