About the position
As a Cellular 4G/5G Firmware Data & Automation Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for crafting and productizing powerful Cellular SoCs. You will be responsible for developing new features to enhance the test automation system for improving test efficiency and stability. Furthermore, you will participate in developing innovative data processing pipelines and demonstrating data science algorithms and machine learning models to parse massive data and logs in a timely manner to automatically solve issues or provide recommendations for the next step. You will closely partner with firmware engineering teams in integrating and deploying models and data processing pipelines as part of the entire automation system to deliver analysis results that benefit firmware engineers in debugging issues. You will work with an amazing team to brainstorm new insights and develop models and algorithms to solve complicated problems that have a meaningful impact.
Responsibilities
- Develop new features to enhance the test automation system for improving test efficiency and stability.
- Participate in developing innovative data processing pipelines.
- Demonstrate data science algorithms and machine learning models to parse massive data and logs.
- Automatically solve issues or provide recommendations based on data analysis.
- Integrate and deploy models and data processing pipelines with firmware engineering teams.
- Deliver analysis results to benefit firmware engineers in debugging issues.
- Brainstorm new insights and develop models and algorithms to solve complex problems.
Requirements
- Minimum BS and 3+ years proven programming skills using Python, Pandas and other key related tools.
- Solid knowledge and experience with relational databases (e.g., Postgres) and non-relational databases (e.g., MongoDB).
- Ability to write complex queries with SQL is required.
- Solid understanding of data science, machine learning, deep learning (including LLMs), and natural language processing.
- Ability to use data science algorithms and machine learning models to solve various kinds of issues.
- Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes.
Nice-to-haves
- Master's or Ph.D. degree in machine learning, data science, or computer science with 5+ years proven programming skills using standard ML tools such as PyTorch, TensorFlow, and HuggingFace.
- Experience in applying analytics and statistical methods to transform data into useful insights and actionable results.
- Sophisticated SQL skills with the ability to write complex joins and nested queries.
- Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies.
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Reimbursement for certain educational expenses, including tuition
- Eligibility for discretionary bonuses or commission payments
- Opportunity to participate in Apple's discretionary employee stock programs
- Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan
- Relocation assistance may be available.
