GPU Research Engineer- AI
3 weeks ago
Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Qualcomm’s GPU Research Team is seeking innovative GPU architects to advance state‑of‑the‑art capabilities in Artificial Intelligence (AI), Machine Learning (ML), and General‑Purpose GPU (GPGPU) computing. This is a unique opportunity to design next‑generation GPU architectures that power everything from mobile devices to Windows on Snapdragon (WoS) compute platforms and large‑scale data center GPUs. What You’ll Do Collaborate with other GPU architects to design new hardware features and enhance existing GPU architectures for accelerating GPGPU, ML, and AI workloads. Develop architectural solutions for diverse platforms, including mobile, WoS, and data center GPUs. Work closely with software teams, hardware design teams, standardization bodies, and internal/external partners to deliver cutting‑edge solutions. Participate in open‑source GPGPU/ML/AI projects and contribute to industry‑leading initiatives. Influence the evolution of GPU capabilities for advanced use cases such as large language models (LLMs) and large vision models (LVMs). Required Skills Strong understanding of GPU architectures, programming models, and application domains. Proficiency with APIs such as OpenCL, CUDA, Vulkan, or Direct3D 12. Solid programming skills in C/C++. Familiarity with Python is a strong plus. Preferred Skills Hands‑on experience in development, debugging, and optimization of CUDA and OpenCL kernels, as well as GPU compute shaders. Deep understanding of quantization techniques and data types for large language models (LLMs) and large vision models (LVMs). Experience designing GPU hardware features for ML/AI acceleration. Contributions to well‑known open‑source projects with a proven track record. Experience with open‑source projects such as llama.cpp, vLLM, or similar frameworks is a big plus. Minimum Qualifications Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of relevant experience. Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of relevant experience. PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of relevant experience. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. For accommodation inquiries, email disability-accomodations@qualcomm.com. Qualcomm will provide reasonable accommodations as requested. Pay range and Other Compensation & Benefits: $161,800.00 - $242,600.00 The above pay scale reflects the broad, minimum to maximum pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr
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GPU Research Engineer- AI
2 weeks ago
San Diego, United States Qualcomm Full timeGPU Research Engineer- AI at Qualcomm Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > GPU ASICS Engineering General Summary Qualcomm’s GPU Research Team is seeking innovative GPU architects to advance state-of-the-art capabilities in Artificial Intelligence (AI), Machine Learning (ML), and General-Purpose GPU (GPGPU)...
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GPU Research Engineer- AI
1 week ago
San Diego, California, United States Qualcomm Full time $161,000 - $242,600 per yearCompanyQualcomm Technologies, Inc.Job AreaEngineering Group, Engineering Group > GPU ASICS EngineeringGeneral SummaryQualcomm's GPU Research Team is seekinginnovative GPU architectsto advance state-of-the-art capabilities inArtificial Intelligence (AI),Machine Learning (ML), andGeneral-Purpose GPU (GPGPU)computing. This is a unique opportunity to design...
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Systems Research Engineer, GPU Programming
4 weeks ago
San Francisco, United States Together AI Full timeAbout the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI...
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Systems Research Engineer, GPU Programming
3 weeks ago
San Francisco, United States Together AI Full timeRoleAs a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems....
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GPU AI Research Engineer: Next-Gen ML Hardware
2 weeks ago
San Diego, United States Qualcomm Full timeA leading technology company in California is seeking an innovative GPU Research Engineer to advance capabilities in AI and ML. The role involves designing GPU architectures, collaborating with diverse teams, and contributing to open-source projects. Candidates must have a strong understanding of GPU architectures, programming skills in C/C++, and relevant...
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Systems/GPU Research Engineer
4 weeks ago
San Francisco, United States Vast Full timeAbout Us Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing-reshaping our future for the benefit of humanity. We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly...
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Systems/GPU Research Engineer
1 week ago
San Francisco, California, United States Vast Full time $160,000 - $320,000 per yearAbout Us's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the...
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Systems/GPU Research Engineer
3 days ago
San Francisco, CA, United States Vast Full timeAbout Us Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing-reshaping our future for the benefit of humanity. We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly...
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Systems/GPU Research Engineer
20 hours ago
San Francisco, CA, United States Vast Full timeAbout Us Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing-reshaping our future for the benefit of humanity. We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly...
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GPU Research Engineer
3 weeks ago
San Diego, United States Qualcomm Full timeCompany: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU...
