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Modem Machine Learning EngineerQualcomm • San Diego, California, United States
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Modem Machine Learning Engineer

Qualcomm
  • US
    San Diego, California, United States
  • US
    San Diego, California, United States
Jetzt Bewerben

Über

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group > Modem Technologies Software General Summary The Modem Machine Learning Engineer applies advanced machine learning techniques to next‑generation modem systems, collaborating across data engineering, model development, deployment, and lifecycle management. The role focuses on deep learning architectures, building scalable MLOps frameworks, and continuous model health monitoring in dynamic production environments. Key Responsibilities Identify, scope, and prioritize high‑impact machine learning use cases within modem and wireless systems. Design, develop, and train robust ML/DL models tailored for modem applications, leveraging time‑series forecasting and sequence modeling. Build and integrate automated, end‑to‑end ML pipelines encompassing data ingestion, feature generation, model training, evaluation, and deployment. Design and maintain state‑of‑the‑art MLOps infrastructure to enable reproducible experimentation, strict model versioning, automation, and scalable onboarding of new ML use cases. Deploy and heavily optimize ML models for on‑device and modem targets, focusing on hardware and firmware integrated environments with strict latency, memory, and compute constraints. Implement robust model performance monitoring, establishing KPI regression tracking and automated detection for data and concept drift across both cloud and on‑target deployments. Collaborate closely across systems, test, and platform teams to ensure a seamless production rollout and sustained model performance over time. Design and implement ETL, data platform, MLOps, CI/CD, observability, and governance pipelines across on‑premises and cloud environments. Build and manage ML data platforms utilizing AWS (S3, Glue, EMR), containers (Docker, Kubernetes), streaming/messaging (Kafka, RabbitMQ), big data tools (Spark, Databricks, Delta Lake, Iceberg, Hudi, SQL, Postgres), and observability stacks (Prometheus, Grafana, Datadog, Splunk). Minimum Qualifications Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, with at least 1 year of relevant experience, or a Master’s degree. Strong hands‑on programming experience in Python and/or C/C++. Solid foundations in machine learning algorithms, probability, statistics, and software engineering principles. Preferred Qualifications Hands‑on experience with deep learning architectures including CNNs, RNNs, GRUs, LSTMs, Transformers, and related sequence models. Proficiency with industry‑standard ML frameworks such as PyTorch, TensorFlow, and Keras. Proven experience building production‑grade ML pipelines capable of handling large‑scale structured and unstructured datasets. Deep experience with MLOps systems, including experiment tracking, model lifecycle management, CI/CD for ML, and cloud/on‑device co‑development environments. Experience implementing data drift, concept drift, and model performance monitoring using well‑defined KPIs in a production setting. Strong software engineering skills, including object‑oriented design, debugging complex integrated systems, and working within real‑time execution constraints. Exposure to on‑device ML deployment, quantization, and neural network optimization tools. Familiarity with cloud ML platforms (e.g., AWS SageMaker), containerization (Docker/Kubernetes), and automation/orchestration tools. Pay and Benefits Pay range: $104,000 – $156,000. The role includes a competitive annual discretionary bonus program, RSU grants, and a comprehensive benefits package designed to support your success at work, at home, and in personal pursuits. Equal Opportunity Employment Qualcomm is an equal opportunity employer. Qualified applicants of all backgrounds are encouraged to apply. If you require accommodations during the application or hiring process, Qualcomm shall provide reasonable accommodations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected classification.
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  • San Diego, California, United States

Sprachkenntnisse

  • English
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