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Supports data pipeline development, data modeling, wrangling, semantic layers, dashboards, and reporting using SQL, Python, AWS, and Snowflake. Collaborates with cross-functional teams to translate business requirements into data solutions and applies data governance, security, and quality practices. This co-op is designed for a currently enrolled university student available January 11 through June 25, 2027, and willing to relocate to Framingham, Massachusetts.

Develop and test embedded software and firmware for Bose audio products, prototypes, and engineering tools. Responsibilities include writing C/C++ and Python code, integrating software with embedded processors, building automation tools, debugging and benchmarking performance, validating systems, documenting designs, and collaborating with software, DSP, acoustics, systems, and hardware engineers.

Develop, train, evaluate, and prototype machine learning and deep learning algorithms for audio applications. Research audio ML and digital signal processing methods, create datasets and evaluation tools, integrate models into software or hardware platforms, and collaborate with interdisciplinary researchers and engineers. The intern will present technical findings and may contribute to future Bose products, patents, and publications.

Research and develop machine learning and deep learning algorithms for audio applications, including speech enhancement, spatial audio, voice pickup, and hearing augmentation. The intern will build datasets, prototype and integrate models into software or hardware, evaluate audio algorithms, collaborate with interdisciplinary teams, and present findings. Work may contribute to Bose products, patents, and research publications.

Supports the development and maintenance of SQL and Python data pipelines, data models, semantic layers, dashboards, and reports. Performs data wrangling and preprocessing, collaborates with cross-functional teams to translate business needs into data solutions, and applies data governance, security, and quality practices. The role provides hands-on data analytics engineering experience supporting business analytics and AI initiatives.

Develop and test embedded software and firmware for Bose audio products, prototypes, and engineering tools. Responsibilities include writing C/C++ and Python code, integrating software with embedded hardware, creating automation tools, debugging and benchmarking embedded systems, validating performance, documenting work, and collaborating with software, DSP, acoustics, systems, and hardware engineers.

Supports the development and maintenance of SQL and Python data pipelines, data models, semantic layers, dashboards, and reports. Performs data wrangling and preprocessing, translates business requirements into data solutions, and contributes to data governance, security, and quality assurance. Collaborates with cross-functional teams supporting marketing, engineering, product development, supply chain, finance, business analytics, and AI initiatives.

Develop and test embedded software and firmware for Bose audio products, prototypes, and engineering platforms. Build C/C++ and Python solutions, integrate software with processors and hardware, create automation tools, debug and benchmark embedded systems, and support validation and documentation. Collaborate with software, DSP, acoustics, systems, and hardware engineering teams throughout the development lifecycle.

Supports the design, development, deployment, monitoring, and production support of data pipelines for connected devices, web applications, and mobile applications. Collaborates with internal customers, AWS Cloud Architects, and agile teams to build scalable data platform integrations using AWS Serverless technologies, Python, SQL, Snowflake, and Databricks. Participates in the full data pipeline lifecycle, technology evaluation, experimentation, and delivery of data products under the supervision of a Senior Data Engineer.

Supports the design, development, deployment, monitoring, and production support of data pipelines for connected devices, web applications, and mobile applications. Collaborates with internal customers, AWS Cloud Architects, and agile teams to build scalable data platform solutions using AWS Serverless technologies, Snowflake, Databricks, Python, and SQL. Participates in the full data pipeline lifecycle, evaluates new technologies, and contributes to data product development under the supervision of a Senior Data Engineer.