Be an Early Applicant
We believe sound is the most powerful force on earth.
The Role
Build and evaluate experimental systems integrating connected devices, sensors, audio endpoints, software, and machine-learning models. Develop protocol adapters, inference pipelines, automated tests, diagnostics, and reproducible experimentation workflows. Measure system performance, troubleshoot across hardware and software boundaries, manage dependencies and device configurations, and collaborate with research teams to compare alternative runtime and system approaches.
Summary Generated by Built In
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 engineer to build and evaluate experimental systems combining devices, software and research-developed algorithms. Working in a multidisciplinary research team, you will integrate hardware, ML models and software runtimes, troubleshoot across system boundaries, and make experiments repeatable and measurable.
We are looking for a builder with a tinkerer's curiosity who enjoys bringing up hardware, writing software and finding out why something does not work. You will collaborate with researchers and a research architect to implement alternative approaches and measure their behavior.
Many of the models and algorithms will be supplied by Research teams. You will connect them to working inputs, inference runtimes and applications, then diagnose integration issues and report measured results. Experience creating or training models is helpful, but is not required.
Job Responsibilities
Required Qualifications
Preferred Qualifications
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! 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: $149,000-$204,950.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are 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.
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 engineer to build and evaluate experimental systems combining devices, software and research-developed algorithms. Working in a multidisciplinary research team, you will integrate hardware, ML models and software runtimes, troubleshoot across system boundaries, and make experiments repeatable and measurable.
We are looking for a builder with a tinkerer's curiosity who enjoys bringing up hardware, writing software and finding out why something does not work. You will collaborate with researchers and a research architect to implement alternative approaches and measure their behavior.
Many of the models and algorithms will be supplied by Research teams. You will connect them to working inputs, inference runtimes and applications, then diagnose integration issues and report measured results. Experience creating or training models is helpful, but is not required.
Job Responsibilities
- Build and maintain prototype systems using connected devices, sensors, audio endpoints and compute platforms.
- Develop software adapters, gateways and interfaces across IP networks, Bluetooth/BLE, USB, serial and other device protocols.
- Integrate Research-developed and third-party ML models into inference runtimes, connecting sensor inputs, preprocessing, model execution and outputs to working applications.
- Work with model developers to understand interfaces, dependencies and operating limits. Diagnose integration problems and provide measured feedback.
- Implement alternative services, messaging, coordination and runtime approaches using agreed interfaces and comparable test conditions.
- Measure latency, throughput, synchronization, memory, compute use, reliability and recovery. Compare runtime configurations with the research architect.
- Build automated tests, scenario replay and fault injection to make experimental results repeatable.
- Develop diagnostic tools and displays that make system behavior and experiment outcomes inspectable.
- Maintain versioned models, dependencies, configurations, device images, provisioning workflows and build documentation.
- Configure and use AI agents to support development, testing and engineering tasks. Review and verify their code, actions and outputs.
- Implement approved data-handling, filtering, redaction and privacy practices with security and platform counterpart.
- Troubleshoot across hardware, software, operating systems, networks and device communication layers.
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics or a related technical discipline.
- 8+ years of software engineering, prototyping, embedded systems, IoT, robotics or connected-device development experience.
- Strong software development skills in Python and experience with C or C++.
- Experience integrating hardware and software in Linux-based environments, including development boards, sensors, embedded devices or hardware bring-up.
- Hands-on experience integrating and running ML models within connected-device, embedded, robotics, or edge-computing systems, connecting model inputs and outputs to a working application or device pipeline.
- Practical understanding of preprocessing, model inference and runtime dependencies, with the ability to diagnose issues across models, applications and hardware.
- Practical knowledge of networking, device communications, APIs and distributed system concepts.
- Experience configuring and using AI agents for development or engineering workflows, including connecting tools, providing project context, running multi-step tasks, and reviewing and testing results. Professional or substantial personal projects are relevant.
- Experience measuring system behavior and developing automated tests, validation tools and troubleshooting methods.
- Disciplined use of version control, configuration management, documentation and reproducible development practices.
- Strong problem-solving and collaboration skills, with the initiative to build, investigate and iterate as experiments evolve.
- Hands-on experience integrating audio or multimedia devices and software, including capture, playback, streaming and debugging timing or synchronization issues.
Preferred Qualifications
- Experience with inference frameworks, model conversion, hardware acceleration or deployment on resource-constrained platforms.
- Experience adapting, optimizing or developing ML models. Model training experience is helpful, but is not required.
- Experience with MQTT, Bluetooth/BLE, ROS 2, device discovery or comparable communication frameworks.
- Background in robotics, connected products, wearables, audio, automotive systems or industrial automation.
- Familiarity with Docker, CI/CD, hardware-in-the-loop testing, diagnostics or observability tools.
- Understanding of secure device integration and data privacy practices.
- Master's degree in a related engineering or computer science discipline.
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! 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: $149,000-$204,950.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are 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.
Skills Required
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related technical discipline
- 8+ years of experience in software engineering, prototyping, embedded systems, IoT, robotics, or connected-device development
- Strong software development skills in Python and experience with C or C++
- Experience integrating hardware and software in Linux-based environments, including development boards, sensors, embedded devices, or hardware bring-up
- Hands-on experience integrating and running machine-learning models within connected-device, embedded, robotics, or edge-computing systems
- Understanding of preprocessing, model inference, and runtime dependencies, with ability to diagnose issues across models, applications, and hardware
- Practical knowledge of networking, device communications, APIs, and distributed-system concepts
- Experience configuring and using AI agents for development or engineering workflows
- Experience measuring system behavior and developing automated tests, validation tools, and troubleshooting methods
- Experience with version control, configuration management, documentation, and reproducible development practices
- Strong problem-solving and collaboration skills
- Hands-on experience integrating audio or multimedia devices and software, including capture, playback, streaming, and timing or synchronization debugging
- Experience with inference frameworks, model conversion, hardware acceleration, or deployment on resource-constrained platforms
- Experience adapting, optimizing, or developing machine-learning models
- Experience with MQTT, Bluetooth/BLE, ROS 2, device discovery, or comparable communication frameworks
- Background in robotics, connected products, wearables, audio, automotive systems, or industrial automation
- Familiarity with Docker, CI/CD, hardware-in-the-loop testing, diagnostics, or observability tools
- Understanding of secure device integration and data privacy practices
- Master's degree in a related engineering or computer science discipline
What the Team is Saying
Kwasi
Engineer, Systems Design
Caitlin
Engineering Project Manager
Sean
PACE Rotational Engineer
Bose
Bose Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage includes medical, dental, pharmacy, and vision for employees and dependents, alongside employee assistance programs and mental-health support. These offerings are consistently presented as comprehensive pillars of the package.
-
Leave & Time Off Breadth — Paid vacation, personal and sick time, company holidays, and multiple paid leaves are part of the offering. Some roles also experience a year‑end holiday shutdown, though applicability can vary.
-
Retirement Support — Retirement programs feature a 401(k) with employer contributions, a Core Contribution plan, and, for eligible groups, a traditional pension, plus life insurance and financial coaching. This mix is highlighted as a meaningful long‑term support structure.
Bose Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
At Bose Corporation, we’re powered by our legendary brands — Bose, McIntosh, and Sonus faber — bringing together more than 175 years of combined technical expertise, craftsmanship and artistry. Founded by Dr. Amar Bose, our company is driven by purpose and devoted to advancing what’s possible in audio — creating transformative experiences in the home, on the go, and on the road.
Why Work With Us
At Bose Corp., we’re united by a simple belief: sound is the most powerful force on earth. It moves us, focuses us, connects us. It’s why we exist to invent—advancing science and art—to deliver transformative experiences. Join us to invent what’s next—and unleash the power of sound, together. Let’s Make Waves.
Gallery
.JPG)
.jpg)
.jpeg)
Bose Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
Framingham, MA HQ
Atlanta
Seoul, Korea
Lisbon, Portugal
Stuttgart, Germany
Tokyo, Japan
Detroit, MI
Learn more
