System SW Architecture - ML Acceleration Lead Engineer
Welcome to the exciting world of Qualcomm, where cutting-edge technology and innovation drive our success. We are currently seeking a talented System SW Architecture - ML Acceleration Lead Engineer to join our team and help us shape the future of mobile computing. In this role, you will play a crucial role in developing and optimizing machine learning acceleration solutions for our flagship mobile platforms. We are looking for a highly motivated individual with a strong background in system software architecture and a passion for pushing the boundaries of machine learning on mobile devices. If you are a self-starter, have excellent communication and problem-solving skills, and thrive in a fast-paced, collaborative environment, we want to hear from you. Join us in shaping the next generation of mobile technology at Qualcomm.
- Develop and optimize machine learning acceleration solutions for flagship mobile platforms.
- Collaborate with cross-functional teams to define system software architecture requirements and design specifications.
- Lead the development of machine learning acceleration technologies for mobile devices.
- Conduct research and analysis to identify new opportunities for machine learning on mobile platforms.
- Design, implement, and test software solutions to enhance machine learning performance on mobile devices.
- Participate in code reviews and provide technical guidance to team members.
- Stay up-to-date with the latest advancements in machine learning and mobile technology to drive innovation.
- Communicate project progress and provide regular updates to management.
- Troubleshoot and resolve any system software issues related to machine learning acceleration.
- Collaborate with external partners and vendors to integrate their solutions into our mobile platforms.
- Mentor and train team members to enhance their skills in system software architecture and machine learning.
- Ensure compliance with industry standards and best practices for system software development.
- Conduct performance analysis and optimization to improve the overall efficiency of machine learning acceleration solutions.
- Act as a subject matter expert and provide technical support to other teams within the company.
- Continuously identify and implement process improvements to streamline development and increase efficiency.
Extensive Experience In System Software Architecture And Design, Particularly In The Area Of Machine Learning Acceleration.
Strong Knowledge Of Machine Learning Frameworks And Algorithms, Such As Tensorflow, Pytorch, And Keras.
Proficiency In Developing Optimized Software For Hardware Accelerators, Such As Gpus, Fpgas, And Dsps.
In-Depth Understanding Of Low-Level Software Design And Implementation, Including Device Drivers, Firmware, And System-Level Apis.
Proven Track Record Of Leading And Mentoring Cross-Functional Teams To Deliver Complex Software Projects On Time And Within Budget.
Machine Learning
Performance optimization
Algorithm development
Embedded systems
System Design
Neural Networks
System Validation
Firmware development
Software Architecture
Hardware Integration
Parallel Processing
Ml Acceleration
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a System SW Architecture - ML Acceleration Lead Engineer in San Diego, CA, USA is $145,000 - $175,000 per year. However, this can vary depending on the specific company, experience level, and other factors.
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Qualcomm Incorporated is an American multinational semiconductor and telecommunications equipment company that designs and markets wireless telecommunications products and services.
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