DSP/AI/ML Staff Engineer - Power Management

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves diverse high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our diverse and innovative team is helping connect, protect and power our planet.

 

The High Performance Analog Systems and Research Group is seeking a Staff Signal Processing/AI/ML Engineer to develop innovative embedded machine learning applications for power management applications, including Qorvo’s intelligent battery management systems and intelligent motor control systems.  The role requires working with business and engineering teams to identify key application areas, algorithm performance, software and hardware requirements, and ML development flows. This role also requires technical contributions through collection/acquisition of training/test data, ML model selection and training, and test and deployment of proof-of-concept solutions.  The ideal candidate would have prior experience in signal processing, power management systems, ML algorithms, and embedded software.  Strong communication and team building skills are necessary for this role.

 

Qorvo locations: Richardson, TX, San Jose, CA or Fort Lauderdale, FL

 

Primary Responsibilities:

• Leads the definition and development of embedded ML algorithms for power management applications
• Contributes to the technical development of embedded ML algorithms, including data collection, model training, model testing, and deployment
• Contributes to the development of custom software and hardware to support ML applications
• Aligns with business unit team on deployment and roadmaps in support of corporate strategies to enable ML applications
• Coordinates with research and engineering teams on ML tools and workflows
• Facilitates support and ML training for engineering and applications teams
• Ensures security and compliance with relevant corporate standards and regulations

 

Key Requirements:

• Master’s or Ph.D. degree in computer science, electrical or computer engineering or related field
• 10-15 years of experience in ML development role, preferably in battery management or motor control applications
• Knowledge of commercial and open-source ML packages and AutoML tools
• Experience with common embedded ML models SVN, CNN, DNN, kNN, K-means, decision trees, random forests, ensemble methods, and familiarity with the math behind ML
• Familiar with ML data flows, pipelines, and MLOps development cycles
• A keen interest in ML and the ability to lead efforts to quickly prototype and evaluate the performance of ML powered solutions
• Experience with signal processing algorithms and implementation
• Understanding of microprocessor and microcontroller systems
• Experience and understanding of battery management systems, fuel gauging techniques
• Experience and understanding of motor control systems, motor fault detection
• Software experience with C, python, and Matlab
• Ability to quickly master new technologies, languages, and development environments as needed
• Excellent communication and problem-solving skills with the ability to work with customers and across business and engineering teams

Preferred:

• Understanding of digital and analog signal processing techniques such as filtering, spectrum analysis, A/D and D/A conversion, and statistical signal analysis
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