
Sr Engineer, Machine Learning Engineering (On-device SW)
Are you a highly skilled and experienced engineer with a passion for machine learning and on-device software? Do you thrive in a fast-paced and innovative environment? Then we have the perfect opportunity for you! Join our team at Qualcomm as a Senior Engineer in Machine Learning Engineering, where you will play a crucial role in developing cutting-edge technologies for on-device software solutions. We are looking for individuals who are driven, creative, and have a strong background in machine learning and software engineering. If you are ready to take on new challenges and make an impact in the industry, then we want to hear from you!
- Develop and implement machine learning algorithms and models for on-device software solutions.
- Collaborate with cross-functional teams to design and optimize machine learning solutions.
- Conduct research and stay current on industry trends and advancements in machine learning.
- Identify and troubleshoot issues in existing machine learning models and propose solutions.
- Participate in code reviews and provide feedback to team members.
- Utilize software engineering best practices to ensure high-quality and efficient code.
- Work closely with product managers and stakeholders to understand project requirements and translate them into technical solutions.
- Mentor and support junior engineers in the team.
- Communicate project progress and updates to stakeholders and management.
- Continuously improve and optimize machine learning processes and workflows.
- Collaborate with hardware engineers to integrate machine learning solutions into Qualcomm's devices.
- Keep up-to-date with emerging technologies and industry advancements in machine learning and software engineering.
- Participate in the development and maintenance of software documentation.
- Conduct performance analysis and optimization of machine learning models.
- Ensure compliance with industry standards and regulations.
Extensive Experience In Machine Learning And Deep Learning Algorithms, Particularly For On-Device Deployment.
Strong Proficiency In Programming Languages Such As Python, C++, And Tensorflow.
In-Depth Knowledge Of On-Device Sw Architectures And Frameworks, Including Arm, Dsp, And Gpu.
Proven Track Record In Developing And Deploying Machine Learning Models For On-Device Applications, Such As Natural Language Processing Or Computer Vision.
Experience With Mobile And Iot Platforms, And Ability To Optimize Machine Learning Algorithms For Resource-Constrained Devices.
Software Development
statistical analysis
Data Modeling
Deep Learning
Computer Vision
Natural language processing
Algorithm development
Image Processing
Python programming
C++ programming
Neural Networks
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
collaboration
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Sr Engineer, Machine Learning Engineering (On-device SW) in San Diego, CA, USA is between $130,000 to $150,000 per year. However, this can vary depending on factors such as years of experience, specific skills and qualifications, and the company's size and industry.
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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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