Tensor

60 Tensor Jobs Hiring Near You

Lead the definition of mechanisms for efficient movement of tensor activations, weights, and outputs through on-chip and off-chip memory pathways and high-throughput DMA architecture. * Partner ...

Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures. * Optimize kernels ...

Lead the definition of mechanisms for efficient movement of tensor activations, weights, and outputs through on-chip and off-chip memory pathways and high-throughput DMA architecture. * Partner ...

Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures. * Optimize kernels ...

Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures. * Optimize kernels ...

Showing results 21-40

Senior Software Engineer - Edge AI/GenAI & Multimedia

Qualcomm

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Re-posted 25 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. The Senior Software Engineer will design, develop, and validate embedded and cloud edge software applications focusing on AI/Gen AI, Multimedia, and Computer Vision, collaborating with various teams to meet customer needs.
Responsibilities:
• Design and development of AI, GenAI, and multimedia SDKs that enable application developers to build commercial-quality applications.
• Design and develop GenAI large language model (LLMs) and vision-language model (VLMs) inference workflows, including pre-processing, inference, post-processing, and orchestration.
• Design and develop multi-stream AI and chained AI/GenAI pipelines for real-world IoT products and applications.
• Drive feature design, implementation, debugging, and system integration to ensure high-quality delivery on schedule.
• Participate in code reviews, regression testing, and issue triage to uphold strong engineering standards and product quality.
• Collaborate effectively with cross-functional stakeholders and project teams to align technical execution with broader product and program objectives.
• Author and review technical documentation for software components and features to support development, integration, and long-term maintainability.
Qualifications:
Required:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• OR PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Preferred:
• 2+ years of experience programming in C and C++, with a strong track record of building high-performance software for embedded and industrial systems.
• 2+ years of experience designing and leading real-time embedded and industrial software solutions, with strong hands-on technical execution.
• Strong experience with AI and GenAI inference frameworks such as PyTorch, TensorFlow, ONNX Runtime, Llama.cpp, and LiteRT, along with a solid foundation in AI concepts, model architectures, tensor layouts, tensor transformations, and tensor-processing mathematics.
• Hands-on experience with GenAI orchestration frameworks such as LangChain and LlamaIndex, including building agent-based systems and retrieval-augmented generation (RAG) pipelines and applications.
• Hands-on experience with multimedia frameworks across Android, Tizen, and other operating systems, with deep understanding of hardware abstraction layers (HALs) for camera, audio, video, graphics/display, computer vision, and USB/UVC.
• Strong knowledge of Android system architecture, including AIDL/HIDL, Binder, system and vendor services, and Java/JNI integration.
• Experience building AI applications for vision and audio use cases, including classification, object detection, segmentation, and pose estimation, as well as GenAI-powered applications. Strong ability to handle tensor pre-processing and post-processing and integrate AI models into end-to-end pipelines across inputs such as camera, audio, and text.
• Strong background in Linux system-level programming, including multithreading, concurrency, memory handling, standard IPC mechanisms, and zero-copy architectures.
• Hands-on experience writing OpenGL ES (GLES) and GLSL shaders and working with programmable graphics/GPU pipelines.
• Hands-on experience with Docker and container technologies, including familiarity with OCI container standards and specifications.
• Proven development experience across embedded Linux, Ubuntu, and Android software stacks.
• End-to-end experience across the software development lifecycle, including architecture, design, implementation, deployment, and support.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985