Qualcomm · 1 day ago
Principal Engineer, Machine Learning Engineering (Heterogenous SW, Adreno GPU)
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$201K/yr - $301K/yr
6+ years expQualcomm Technologies, Inc. is the world's leading mobile computing platform provider, committed to enabling the deployment of intelligent solutions across various devices. In this role, you will work in a dynamic research environment, architecting, designing, developing, testing, and deploying frameworks that optimize on-device AI solutions.
Telecom & CommunicationsArtificial Intelligence (AI)SoftwareGenerative AITelecommunicationsWireless
Responsibilities
Strong theoretical background in AI and general ML techniques
Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics
ML Accelerator architecture knowledge & experience with ML Accelerators – GPU/NPU
Proven hands-on experience building LLM stacks to solve real-world problems
Strong Python and modern C++ design and implementation skills
Strong command of Machine Learning training frameworks (i.e. PyTorch )
Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.)
Strong Linux command line skills
Strong general analytical and debugging skills
Prior experience working in agile environments
Prior experience in collaborating with multi-disciplinary teams across time zones
Strong team player, communicator, presenter, mentor, and teacher
Hands-on experience developing software for heterogenous platforms with OpenCL
Experience developing solutions that target a variety of hardware ( CPU, GPU, NSP …) along with their respective SW development environments
Prior experience with model quantization, profiling and running models on edge devices
Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows)
Previous experience with Docker and Git
Qualification
Required
Strong theoretical background in AI and general ML techniques
Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics
ML Accelerator architecture knowledge & experience with ML Accelerators – GPU/NPU
Proven hands-on experience building LLM stacks to solve real-world problems
Strong Python and modern C++ design and implementation skills
Strong command of Machine Learning training frameworks (i.e. PyTorch)
Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.)
Strong Linux command line skills
Strong general analytical and debugging skills
Prior experience working in agile environments
Prior experience in collaborating with multi-disciplinary teams across time zones
Strong team player, communicator, presenter, mentor, and teacher
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Preferred
Hands-on experience developing software for heterogenous platforms with OpenCL
Experience developing solutions that target a variety of hardware (CPU, GPU, NSP …) along with their respective SW development environments
Prior experience with model quantization, profiling and running models on edge devices
Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows)
Previous experience with Docker and Git
Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related
Benefits
Competitive annual discretionary bonus program
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
2026-02-12
San Diego Union-Tribune
2026-02-12
2026-02-12
Company data provided by crunchbase