Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW )
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Mjukvaruutveckling · Inbyggda system
I korthet
Qualcomm AI Research is looking for experienced AI software engineers to develop and optimize AI technologies for edge devices. This role involves creating end-to-end embedded AI software, enhancing the ML/AI SW stack, and collaborating with hardware teams to deploy state-of-the-art GenAI models on industry-leading chips.
Ansvarsområden
- Develop end-to-end embedded AI software to train and finetune neural network models on Qualcomm hardware with optimal resources.
- Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
- Collaborate with the AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors.
- Develop debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases.
Krav
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of relevant work experience.
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of relevant work experience.
- PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of relevant work experience.
- 5+ years of experience with Machine Learning frameworks and Deep Learning (Pytorch).
- 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, C, C++).
- Strong software design, development, and debugging skills.
Önskade kvalifikationer
- Knowledge of Android programming is a plus.
- Optimization of algebraic operations in algorithms for HW cores is a plus.
- Knowledge in neural network model training is a big plus.
- Knowledge in neural network model quantization is a big plus.
- Experience with Qualcomm QNN SDK is a big plus.
Förmåner
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package designed to support success at work, at home, and at play.
Färdigheter
Machine LearningDeep LearningPytorchPythonC++CAndroidQNN SDK
#Machine Learning#AI#GenAI#On-device Learning#Software Engineering#Embedded Systems
Om Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Företag
QualcommPublicerade jobb
för 1 vecka sedan
Anställningstyp
Heltid
Arbetsform
På plats
Lön
194 400–291 600 US$ / år
Erfarenhetsnivå
Senior
Platser
San Diego, United States of America
Kvalifikation
Kandidatexamen, Masterexamen, Doktorand
Sökande
Ansök tidigt
Liknande jobb
Ericsson
Budapest, HungaryStudent Data Engineer
Heltid Ansök tidigt Publicerad för 4 dagar sedan
Alstom
Charleroi, BelgiumSoftware Designer
Heltid Ansök tidigt Publicerad för 4 dagar sedan
Sandvik
Tampere, FinlandSenior Electrical Engineer
Heltid Ansök tidigt Publicerad för 4 dagar sedan
Microsoft
London, United KingdomPrincipal Corporate Counsel
100–150 tn GBP/år Heltid Ansök tidigt Publicerad för 3 dagar sedan
Accenture
Copenhagen, DenmarkUtilities Strategy Manager
Heltid Ansök tidigt Publicerad för 3 dagar sedan
Ericsson
Łódź, PolandJunior Software Developer
Heltid Ansök tidigt Publicerad för 3 dagar sedan