Principal Research Architect

Bose Corporation, U.S.A

Framingham (MA)

On-site

USD 168,000 - 231,000

Full time

5 days ago
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Benefits offered by this job

Bonus programs
Comprehensive health and welfare
401(k) plan
Exclusive perks for wellbeing
Employee discount

Job summary

Bose Corporation in Framingham, Massachusetts seeks a hands-on Research Architect to design, build and evaluate experimental hardware and software systems. You will work with researchers to turn questions into repeatable experiments and integrate ML models with signal-processing capabilities.

You will mentor engineers, define APIs and data models, evaluate third-party tech, and focus on system performance, reliability and latency across embedded and edge environments.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Robotics or related technical discipline.
  • 10+ years of experience designing, architecting and delivering complex software or systems solutions.
  • Experience architecting connected-device, embedded, distributed, IoT, robotics, or edge-computing systems with ML model integration.
  • Hands-on software development and prototyping to build, debug and evaluate experimental systems.
  • Experience with Python or related ML tools and Linux-based/embedded platforms.
  • Strong understanding of networking, APIs, messaging, event-driven architectures, and software integration.
  • Ability to compare implementations, interpret measurements and adjust architecture based on evidence.
  • Strong communication and collaboration skills; curiosity and initiative.
  • Experience designing or integrating audio or multimedia systems, with streaming pipelines, timing and latency.

Responsibilities

  • Design, implement and compare software and system architectures through prototypes and experiments.
  • Translate research questions into experiment specifications, baselines and failure tests.
  • Write and debug critical software components, interfacing with devices, sensors and compute platforms.
  • Define and test APIs, data models, messaging approaches and interfaces across hardware, models and software services.
  • Collaborate with Research teams to integrate ML models and signal-processing capabilities.
  • Evaluate how model inputs and inference requirements impact quality, latency, memory, compute and power.
  • Provide actionable feedback to model developers.
  • Assess third-party technologies for fit, integration effort and maintainability.

Skills

Embedded systems
Python / ML tools
Networking APIs
Software prototyping
Linux / Embedded
ML processing pipelines
Audio systems

Education

Bachelor's degree in CS/CE/EE/Systems/ Robotics

Tools

MQTT
ROS2
Bluetooth/BLE

Job description

At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer‑focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.

Job Description

Bose is seeking a hands‑on research architect to design, build and evaluate experimental hardware and software systems. Working in a multidisciplinary research team, you will compare architectural approaches, integrate emerging technologies and use measured results to guide technical decisions. We are looking for a builder with a tinkerer’s curiosity who enjoys connecting devices, writing code and investigating unexpected behavior. You will work with researchers and prototyping engineers to turn open questions into repeatable experiments and reusable learning. Many of the models and algorithms you integrate will come from other Research teams. You will use your understanding of ML architectures and processing pipelines to evaluate system implications and provide useful feedback to model developers. Your primary responsibility is system architecture and integration; model‑development experience is valuable background.

Job Responsibilities
  • Design, implement and compare software and system architectures through working prototypes and repeatable experiments.
  • Translate research questions into experiment specifications, baseline comparisons, measurable evaluation criteria and failure tests.
  • Write and debug critical software components, working directly with devices, sensors and compute platforms.
  • Define and test APIs, data models, messaging approaches and interfaces across hardware, models and software services.
  • Collaborate with Research teams to integrate ML models and signal‑processing capabilities into working systems.
  • Evaluate how model inputs, representations and inference requirements affect quality, latency, memory, compute, power and reliability.
  • Provide actionable feedback to model developers.
  • Compare processing placement, communication and coordination approaches, including behavior when connectivity or components fail.
  • Define synchronization, instrumentation and reproducibility requirements with the engineers implementing experiments.
  • Evaluate third‑party technologies against internal or open alternatives, considering technical fit, integration effort, portability and maintenance.
  • Work with security, privacy and platform specialists on trust boundaries, data access and appropriate handling of sensor data.
  • Document evidence, architectural decisions and unresolved questions.
  • Mentor engineers while remaining actively involved in implementation.
Required Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Robotics or a related technical discipline.
  • 10+ years of experience designing, architecting and delivering complex software or systems solutions.
  • Proven experience architecting connected‑device, embedded, distributed, IoT, robotics, or edge‑computing systems, including hands‑on integration and evaluation of ML models and an understanding of how model architecture affects system behavior.
  • Hands‑on software development and prototyping experience, with the ability to build, debug and evaluate experimental systems.
  • Experience with Python or comparable tools used in ML and systems research is valuable.
  • Practical experience developing software on Linux‑based and/or embedded platforms.
  • Deep understanding of networking, APIs, messaging systems, event‑driven architectures and software integration patterns.
  • Experience debugging and measuring behavior across hardware, software and communication boundaries.
  • Practical understanding of ML processing pipelines, including input preparation, representations and inference, sufficient to discuss trade‑offs with model developers.
  • Demonstrated ability to compare implementations, interpret measurements and revise architectural decisions based on evidence.
  • Strong technical communication and collaboration skills, with curiosity and initiative as requirements evolve through experiments.
  • Experience designing or integrating audio or multimedia systems, with an understanding of streaming pipelines, timing, synchronization and latency.
Preferred Qualifications
  • Master’s degree or higher in a related engineering or computer science discipline.
  • Prior experience developing or training ML models, providing practical insight into model‑design trade‑offs.
  • Experience deploying or optimizing inference on resource‑constrained hardware.
  • Experience with MQTT, ROS2, Bluetooth/BLE, device discovery or comparable communication frameworks.
  • Background in robotics, connected products, wearables, automotive systems, industrial automation, sensing or audio.
  • Experience experimenting with agentic development tools or building agent workflows, with an understanding of tool integration, execution boundaries, testing and human oversight.
  • Experience guiding research or advanced‑development work and turning experimental findings into reusable engineering approaches.
Salary and Benefits

Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $168,300-$231,450. The hiring range for other Bose work locations may vary.

  • bonus programs
  • comprehensive health and welfare benefits
  • 401(k) plan
  • exclusive perks designed to support your wellbeing
  • generous employee discount where you can immerse yourself in our products and experiences

We’re a proudly independent company—driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we’re creating what’s next—pushing boundaries and delivering transformative sound experiences for people everywhere.

Join us and make your next career move a mic‑drop. Let’s Make Waves.

We’re a company built on disruptive innovation—having the courage to challenge the status quo, an unwavering commitment to our customers, and the fundamental belief that anything is possible. We never settle; we have a passion for discovering better ways to help people enjoy the things they love. We need people like you, people with better solutions. If you join us, you’ll find the opportunity to do your best work and the freedom to enjoy it. Here, every employee has the opportunity to build their own success and contribute to ours. It’s an atmosphere of trust, collaboration, high expectations, and great reward.

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