Develop and productize machine learning and digital signal processing algorithms for speech and audio applications, including noise suppression, echo cancellation, beamforming, spatial audio, and enhancement. Research modern deep learning approaches, prototype with Python or MATLAB, and deploy optimized real-time solutions on consumer hardware. Collaborate across research, systems engineering, and product development to deliver robust audio technologies at scale.
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
Principal Audio DSP/ML Engineer - Audio Technology
We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware.
Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!
Responsibilities:
Qualifications:
Preferred Qualifications:
What success looks like:
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 Remote, California is: $216,000-$297,000.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
Principal Audio DSP/ML Engineer - Audio Technology
We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware.
Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!
Responsibilities:
- Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement
- Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data.
- Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers.
Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field.
- Hands-on experience with machine learning applied to audio or time-series data.
- Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis).
- Experience with Python and/or MATLAB for research and prototyping.
- Solid understanding of audio systems and acoustics.
- Strong communication skills.
Preferred Qualifications:
- MS or PhD in a relevant technical field.
- Deep practical knowledge of:
- Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite.
- Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++.
- Experience with speech or audio ML tasks, such as:
- Audio source separation / speech enhancement
- Echo reduction
- Microphone array signal processing
- Strong software engineering practices (debugging, profiling, version control).
- Proficiency in C and/or C++ for performance-critical systems.
- Publications, patents, or demonstrated innovation in DSP or ML.
What success looks like:
- You deliver robust, high-quality audio algorithms that work reliably in real-world conditions.
- You balance audio quality, ML performance, and system constraints effectively.
- You influence product direction through technical insight and data-driven decisions.
- Your work ships as both licensed audio technology at scale.
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 Remote, California is: $216,000-$297,000.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.
Similar Jobs at Bose
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
Develop agentic workflows and automation for real-time audio machine learning research. Responsibilities include orchestrating training, evaluation, experimentation, reporting, data preparation, hyperparameter searches, benchmarking, regression testing, experiment tracking, artifact management, and reproducible execution. The role integrates LLM agents with research tools, datasets, repositories, evaluation suites, and GPU infrastructure while partnering with audio researchers to create reusable workflows and dashboards.
Top Skills:
Automated TestingCi/CdContainersCudaDigital Signal Processing (Dsp)Distributed TrainingExperiment TrackingGpu SchedulingLinuxLlm AgentsMlopsPythonPyTorch
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
Develop and test digital signal processing algorithms for audio, speech, voice pickup, noise reduction, spatial audio, and microphone arrays. Integrate and validate algorithms on embedded real-time systems, optimize performance across hardware and software platforms, investigate issues using acoustic measurements and lab equipment, and collaborate with engineering, software, systems, product, and external partners.
Top Skills:
Acoustic Measurement EquipmentBluetooth AudioCDigital Signal ProcessingEmbedded SystemsMatlabMicrophone ArraysPythonReal-Time Systems
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
Develop, train, evaluate, optimize, and debug machine learning models for consumer audio applications. Focus on efficient AI and Edge ML by reducing latency, memory usage, and computational demands. Collaborate with software, embedded systems, and hardware engineers to deploy models on resource-constrained devices. Explore techniques such as quantization, pruning, and model compression while contributing to emerging AI technologies and practical product development.
Top Skills:
CC++Edge MlOnnxPythonPyTorchTensorFlowTensorflow Lite
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
