Modem Machine Learning Engineer

Qualcomm

Actively hiring Posted this week
San Diego, CA Posted 6 days ago $104,000–$156,000 / year
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At a glance

AI generated

TL;DR

As a Senior Modem Machine Learning Engineer at Qualcomm Technologies, Inc., you will collaborate with modem, systems, and software teams to develop and deploy advanced machine learning solutions for next-generation wireless technologies. Your daily tasks include identifying high-impact ML use cases, designing robust models using deep learning architectures like CNNs and RNNs, and building scalable MLOps frameworks. You’ll work on automating end-to-end ML pipelines from data ingestion to model deployment while ensuring continuous performance monitoring in dynamic production environments. Key technologies involve Python/C++, PyTorch/TensorFlow, AWS services (S3, Glue, EMR), Docker/Kubernetes, Kafka/RabbitMQ, and observability tools like Prometheus/Grafana. This role demands expertise in handling large-scale datasets, optimizing models for on-device deployment with strict latency constraints, and implementing robust governance pipelines across cloud and on-premises environments.

Skills

Python PyTorch TensorFlow Keras AWS S3 Glue EMR Docker Kubernetes Apache Spark Databricks Delta Lake Postgres Prometheus Grafana CI/CD MLOps Kafka RabbitMQ

What you'll do

  • Identify and prioritize high-impact machine learning use cases for modem systems.
  • Develop robust ML/DL models using advanced deep learning architectures.
  • Build automated end-to-end ML pipelines for data ingestion to deployment.
  • Design MLOps infrastructure for reproducible experimentation and model versioning.
  • Optimize ML models for on-device targets with strict latency constraints.
  • Implement continuous monitoring of model performance in production environments.
  • Integrate ETL, data platform, and observability pipelines across cloud environments.

What we're looking for

  • Strong hands-on experience in Python or C/C++ programming.
  • Solid understanding of machine learning algorithms, probability, statistics, and software engineering principles.
  • Experience with deep learning architectures like CNNs, RNNs, GRUs, LSTMs, Transformers.
  • Proficiency in ML frameworks such as PyTorch, TensorFlow, Keras.
  • Expertise in building production-grade ML pipelines for large-scale datasets.
  • Deep experience with MLOps systems including CI/CD for ML and cloud/on-device co-development environments.
  • Strong software engineering skills, including debugging complex integrated systems under real-time constraints.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 595 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 540 roles with salary data.

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