Senior Software Engineer, Audio Machine Learning corporate_fare Google place San Jose, CA, USA ; Seattle, WA, USA info_outline X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; Seattle, WA, USA. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 2 years of experience working with audio or DSP algorithms. 1 year of experience in a technical leadership role. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Augmented Reality team is a group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Be responsible for end-to-end ownership of machine learning models and associated data sets, from design, to prototype, training, evaluation, and optimization. Manage on-device deployment and optimization including ML runtimes (software and hardware), memory access patterns, bandwidth requirements, and power modeling. Be responsible for developing tools and infrastructure used to train and evaluate audio ML models, and to document progress, results, and processes. Manage low-level on-device integration, including auxiliary components for audio pre- and post-processing and feature generation.

New Staff Audio Systems Engineer Remote, US or Canada - NYC preferred About the Company Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff. Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes. About the Role We are seeking a highly-skilled Staff Audio Systems Engineer to own and lead the design and execution of digital audio processing systems and embedded audio software for our devices, platforms, and systems. As a senior member of the hardware engineering team, you will play a pivotal role in shaping the future of our solutions. You will drive innovation in 2-way communications, dictation, and high-fidelity audio performance, ensure the integration of cutting-edge technologies and deliver audio solutions that meet the highest standards of quality, low latency, and reliability across the lifecycle of all of Inspiren’s devices and platforms. What You'll Do Lead Audio Systems Projects: Oversee the end-to end development of embedded audio systems, software, and firmware for new devices from concept to mass production release. Collaborate Cross-Functionally: Work closely with hardware engineers, embedded systems engineers, software developers, product managers, key stakeholders, and our outsourced manufacturing partners to define system requirements and specifications per product needs. Innovate and Optimize: Stay current with industry trends and emerging technologies. Introduce new methodologies and technologies to enhance performance and meet design specifications. Provide deep technical expertise and support in audio system development, testing, and validation across the product lifecycle. Embed Rigorous Design for Excellence (DfX) Mindset: Conduct design reviews and both design and process Failure Mode Effect Analysis (FMEA), partnering with our design and development partners to drive rigorous Design for Cost (DfX), supply chain, reliability, quality, and manufacturing methodologies across all phases of product development. Mentor Team Members: Provide technical guidance and mentorship, fostering a culture of excellence and innovation through a culture of continuous learning. Ensure Quality, Reliability, and Compliance: Oversee the prototyping process, conduct testing, and verify audio systems performance and reliability against product requirements. Ensure all embedded software meets regulatory standards and industry best practices. Set quality and reliability specifications. Problem-Solve: Troubleshoot complex audio design issues and implement effective solutions in a timely manner. What You Bring Educational Background: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Audio Engineering, or a related engineering field Experience: 10+ years of experience in embedded audio systems engineering including the successful launch and ongoing maintenance of multiple products DSP & Algorithm Prototyping: Proficiency in developing and tuning real-time algorithms for Beamforming, AEC and Noise Suppression using tools like MATLAB, Python, or Audio Weaver, and deploying them in C/C++ on embedded platforms. Acoustic System Modeling: Expertise in modeling and simulating acoustic transducers (mics/ speakers) and enclosures using tools like COMSOL to optimize for frequency response and intelligibility in far-field environments. 2-Way Audio Architecture: Deep expertise in low-latency full-duplex communications, including the design of echo cancellation paths and gain control strategies optimized for "e-call" clarity. Passive Monitoring & Intelligent Logic: Ability to design and implement audio triggers and voice-activity detection (VAD) that transition devices from low-power passive states to active communication modes. Hardware/Firmware Integration: Hands-on experience with ADC/DAC selection, high-SNR audio pipelines, and digital interfaces (I2S, PDM, TDM) for RTOS or Linux-based hardware. Validation & Subjective Evaluation: Extensive experience with audio test systems (Audio Precision, SoundCheck, HATS) to benchmark SNR, THD, and speech intelligibility (STI) across varied real-world clinical use cases. Secure Audio Processing: Knowledge of secure voice data handling, encryption for 2-way streams, and HIPAA-compliant audio pipelines. Communication: Excellent verbal and written communication skills, with the ability to convey complex ideas clearly. Adaptability: Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities. Start-up experience is a plus. Details The annual salary for this role is $200,000-$225,000 + equity + benefits (including medical, dental, and vision) Flexible PTO Location: Remote, US or Canada - NYC Preferred. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Compensations & Benefits At Inspiren, we are committed to fair, transparent, and equitable compensation. We know that every candidate brings a unique combination of experience, skills, and perspectives, and we take these factors into account when determining pay. While compensation may vary depending on your background, role, and location, we are proud to offer a competitive base salary and total benefits package, alongside eligibility for equity awards in the form of stock options. We believe great work deserves great rewards. Our compensation and benefits are designed to recognize your contributions and reflect the standards of leading organizations in our field. Your recruiter will be happy to walk you through the full compensation package, including what your total pay could look like, so you have a clear picture of both the immediate and long-term value of joining our team

Tesla is building robust embodied intelligence through autonomous driving and humanoid robots. Core to reaching this goal is developing intelligent agents that see, move, and speak in the real world. In this role, you’ll architect and deploy models that allow our agents to listen, understand, and respond in real time powered by our custom AI chip on our embodied products. Your work will be central to making Optimus or our cars as seamless as talking to a friend. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications and millions of cars. Define long-term architectural vision and key milestones for speech-powered, expressive character systems Design and develop low-latency, streaming-friendly neural models that integrate audio, language, and non-verbal cues Implement multimodal models for robust speech-to-speech, emotion recognition, and expressive response generation Drive the character-building lifecycle from research prototypes to polished, production-grade experience Test your models E2E on robotic platforms

Lead research on ASR models focused on accuracy, latency, and robustness Design and train speech-to-text models for noisy, accented, and low-resource settings Improve streaming and real-time decoding pipelines Experiment with architectures, loss functions, and data strategies (augmentation, semi-supervised learning, distillation) Translate research ideas into production-ready systems Collaborate closely with infra, product, and voice engineering teams What we’re looking for Strong background in ASR / speech research Hands-on experience with deep learning frameworks (PyTorch preferred) Experience with streaming or low-latency ASR systems Familiarity with modern ASR architectures (CTC, Transducers, attention-based, hybrid) Ability to think end-to-end: data → model → deployment Prior work in multilingual or accented speech is a strong plus Great to have Publications in top speech / ML conferences Experience deploying models in real-time production systems Exposure to conversational AI Years of Experience 3-6 years of specialized experience in speech through academia or industry Education Masters or PhD in Speech --- Note - we often make exceptions and hire brilliant candidates regardless of years of experience or education - proof of work is paramount Apply for this Job

About the role: We are seeking a senior DSP engineering leader to provide technical and functional leadership for Bose’s Audio Technology Licensing business. This role emphasizes strategic technical direction, organizational leadership, and ecosystem collaboration—more than day-to-day player-coach execution. The ideal candidate brings deep domain expertise in audio, voice, and noise-reduction DSP, combined with the ability to lead internal and external engineering resources, shape platform-level capabilities, and partner effectively with silicon vendors, product management, and business development. Experience with hybrid DSP/ML approaches is a strong plus. Key Responsibilities Technical & Organizational Leadership - Provide functional leadership for DSP engineering supporting Audio Technology Licensing, guiding contributors across audio, voice, and noise-canceling domains (classical DSP and applied ML). - Direct a diverse, globally distributed engineering team to solve complex technical challenges with high standards for quality, robustness, and scalability. Platform & Enterprise Alignment - Work with internal partners (embedded software, systems, research, platform teams) to define and leverage shared DSP and ML-enabled platform capabilities. - Advocate for platform-level investments that create enterprise-wide benefit across multiple business units. What you bring Technical Expertise - Deep expertise in audio signal processing, speech/voice processing, and noise reduction. - Strong understanding of embedded DSP systems, algorithm optimization, and deployment on constrained platforms. - Familiarity with applied ML for audio: ML-assisted noise reduction, speech enhancement, audio scene analysis. - Experience working with silicon vendors (SoC providers). Leadership & Collaboration - Demonstrated ability to lead senior technical contributors with limited reliance on hands-on execution. - Experience managing internal teams and external engineering partners in distributed environments. - Strong communication across technical and business stakeholders. Qualifications - BS in Electrical Engineering, Computer Engineering, or related field; MS strongly preferred. - 15+ years of industry experience in DSP, audio, or related domains. - At least 3 years managing technical staff with increasing scope.