Qualcomm · 4 months ago
GPU Machine Learning Engineer, Senior
San Diego, CA
Full-time
Onsite
Mid, Senior Level
$141K/yr - $211K/yr
2+ years expQualcomm Technologies, Inc. is seeking a Senior GPU Machine Learning Engineer to join their GPU Software team. The role involves developing software for Machine Learning models on Snapdragon chipsets, optimizing GPU drivers, and collaborating closely with hardware designers.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
Writes code for well-defined features, drivers, and APIs using different languages (e.g., C, C++, Python)
Assists in identifying deficiencies in designs and works with team members to develop solutions to improve designs
Collaborates with team members to understand new features and functionality that align with needs and goals for implementation and customization
Writes detailed design documentation and feature descriptions for projects
Qualification
Required
Strong C/C++ programming skills
Strong knowledge of Machine Learning Theory
Familiarity with a Deep Learning Framework such as Pytorch
Familiarity with a GPGPU API such as CUDA or OpenCL
Understanding of data structures and algorithms, including object-oriented programming
Excellent interpersonal and analytical skills with the ability to work independently
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
OR PhD in Computer Science, Engineering, Information Systems, or related field
Preferred
Device driver development, including GPU or CPU
Programming experience with Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12
Knowledge of GPGPU application development including Mathematical Operations and Image Processing
Exposure to Embedded systems and Real-time operating systems
Experience working with ARM architecture
Familiarity with Git or other SCM tools
Master's Degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field
3+ years' experience with software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
3+ years' experience with C++ programming experience
Optimizing algorithms for GPU hardware using OpenCL or CUDA
Experience with different NN architectures such as CNNs, LLMs, LVMs, etc
Background in mathematical operations (e.g. linear algebra, fast math libraries, etc.)
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President & CEO
I
Isaac Eteminan
CEO
Recent News
2026-01-16
2026-01-16
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