2 Ai Accelerators Jobs

The Technical Lead AI, Embedded & Edge Systems is responsible for leading cross-functional engineering efforts in the design, development, and integration of AI-powered solutions across embedded hardware, edge/server devices, system software, and infrastructure components. This role involves bridging hardware-software co-design, system architecture, and execution leadership to ensure the delivery of scalable, high-performance, and secure computer vision, artificial intelligence, and robotics products. The key responsibilities of this role include leading end-to-end system design covering embedded hardware, edge/server platforms, and AI model integration. It also involves defining scalable and secure architectural frameworks for hardware-software interoperability, real-time processing, and data flow. Additionally, the Technical Lead will architect and develop embedded hardware systems for edge and server products, supervise schematic reviews, PCB design validation, and bring-up of edge devices aligned with AI/CV use cases. Furthermore, the Technical Lead will coordinate with ML engineers to deploy and optimize computer vision models on heterogeneous hardware and support model quantization, inference optimization, and real-time processing strategies on edge platforms. They will also oversee the development of core applications, services, middleware, and utilities on both embedded and server systems, ensuring fault-tolerant, modular, and interoperable implementations across deployment environments. In terms of infrastructure, the Technical Lead will recommend compute, storage, and networking infrastructure for on-prem, hybrid, or cloud deployments based on application demands. Collaborating with DevOps and infra teams to establish deployment pipelines, configuration profiles, and monitoring strategies is also part of the responsibilities. Team leadership and mentorship are essential aspects of this role, where the Technical Lead will lead and mentor a team of embedded engineers, application developers, and integration specialists. Conducting technical reviews, guiding debugging sessions, and promoting engineering best practices are key elements of team leadership. Effective communication and negotiation with product managers, architects, QA, and peers in other organizations to ensure aligned development and seamless integration is also crucial. Preferred skills for this role include a Bachelor's or Master's degree in Electronics, Electrical, Computer Engineering, or a related field, with at least 5 years of product development experience, preferably with embedded systems design and systems programming. Strong expertise in embedded systems, circuit design, board bring-up, and firmware development is required, along with proficiency in Python, C/C++, and system-level programming with real-time constraints. Hands-on experience with edge AI deployment frameworks, embedded Linux, and driver development is also preferred. Preferred attributes for this role include experience working on mission-critical or real-time AI/CV products, the ability to navigate between low-level hardware issues and high-level application architecture, strong documentation, communication, and team coordination skills, and exposure to regulatory or compliance-heavy product domains. This is a full-time permanent position that requires in-person work.,

Qualcomm India Private Limited is seeking Developer Advocates to support developers in creating generative AI and AI-driven hardware applications. As a Developer Advocate, you will engage with the community, develop resources to onboard developers onto Qualcomm platforms that are utilized in various industries and applications including mobile, laptops, mixed-reality, robotics, and industrial IoT. Collaboration with product, engineering, and regional sales teams is essential to drive awareness and engagement for Qualcomm platforms. The ideal candidate should possess experience in building end-to-end applications in areas such as Computer Vision, Audio, LVM, LLM using AI/ML tools on Linux/Windows for CPU, GPU, and AI accelerators. A passion for developing AI models and integrating them into different applications is crucial. Responsibilities include developing plans to engage with external developers in IoT, Automotive, and the Microsoft device ecosystem, collaborating across software and hardware engineering teams, understanding ML model design trends, and contributing new features to the Qualcomm AI toolkit. The role involves interfacing with 3rd party developers to create easy-to-use sample applications and documentation for Windows on Snapdragon. Minimum Qualifications: - Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. - 6+ years of Software Engineering, Systems Engineering, or related work experience. Preferred Qualifications: - In-depth knowledge of AI frameworks like TensorFlow, PyTorch, GPU programming, and parallel computing. - Proficiency in AI software stack, AI performance tuning techniques, and development of AI applications on Windows. - Experience with training and deployment of models on servers and client Windows compute platforms. - Strong programming skills in Python, C++. - Excellent communication and leadership abilities. - Proficient in problem-solving, analytical thinking, and adaptation to a fast-changing environment. - Familiarity with software development methodologies, version control systems, and agile project management practices. - 12+ years of experience in application development with a focus on High-Performance Computing and 5+ years in AI application development on Windows. Qualcomm is an equal opportunity employer and is committed to providing accommodations for individuals with disabilities during the application process. If you need assistance, you can email disability-accommodations@qualcomm.com or call Qualcomm's toll-free number. Note: The above email address is specifically for disability accommodations and not for updates on applications or resume inquiries.,