Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 90 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (AI), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

Part of Bosch AI research in Pittsburgh, we are responsible for pushing the boundaries of multimodal sensing AI capabilities to solve complex industry problems and shape the future of Bosch products and services. We work with internal partners of different Bosch business units globally to transfer our solutions into future products as well as secure intellectual property (IP) for Bosch. We also actively collaborate with leading groups in academia (e.g., Carnegie Mellon University) and industry to promote research ideas and publish research findings in internationally renowned AI conferences and journals.

Job Description

We are looking for a research manager (group leader) to lead a high-impact industrial AI research team working at the intersection of cutting-edge machine learning and signal processing to build multimodal sensing AI solutions (foundation models/GenAI for multimodal signals such as radar, ultrasonic, IMU, audio, vibration, RF signals among others) and enable cross-domain business applications ranging from automotive, consumer products to manufacturing and healthcare. The key responsibilities for this position are:

Technical & Research Leadership

Work together with lab director/leadership team to define and execute the research vision and roadmap for multimodal sensor foundation models, generative AI for temporal and spatial signals, and advanced signal processing–ML hybridsEnsure research outcomes meet both scientific excellence and product relevanceLead R&D portfolio involving machine learning on heterogeneous sensors (e.g., radar, audio, RF, IMU, vision, industrial sensors), including representation learning, self-supervised learning, and multimodal fusion to improve sensing and perception capabilities in a wide range of applications from automated vehicles, intelligent consumer products to manufacturing & industrial automation  Advance generative and probabilistic models for signals, including simulation, synthesis, forecasting, anomaly detection, and inverse problemsMaintain a team culture of scientific/technical excellence as evidenced by high impact IPs and/or publications in top AI conferences and journals (e.g., NeurIPS, ICLR, ICML, CVPR, ICASSP)Collaborate with academic partners (e.g., CMU) and represent the group in the broader research community

Productization & Commercialization

Foster entrepreneurial research, establish rigorous SW engineering practices towards translating research into production-ready artifactsLive by ROI mindset: mapping R&D targets to product roadmap and potential market opportunitiesPartner closely with product, engineering, and business teams to deploy AI at scaleBalance long-term research with near- and mid-term business impactSupport technology transfer, IP generation, and patent strategy

People & Team Leadership

Lead, mentor, and grow a team of PhD-level researchers and senior engineersManage budget/resources and secure team competency demands from internal stakeholdersFoster a culture of scientific rigor, collaboration, inclusion, and execution excellenceRecruit top research and engineering talent globallyProvide technical and career mentorship to team members

Qualifications

Required Qualifications

PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Applied Mathematics, Statistics specializing Machine Learning, Signal processing or a related field5+ years of experience in AI research and development, with demonstrated commercialization or product deployment of ML systems3+ years of prior team leadership or management experience, leading engineers and/or researchers in a corporate research environment Strong background in machine learning for signals, such as:Multimodal learning and sensor fusionHigh-frequency signal modeling and representation learningSignal processing combined with deep learningSelf-supervised, foundation, or generative modelsProven track record of peer-reviewed publications in top ML and/or signal processing venuesStrong communication skills and the ability to influence across research, engineering, and business stakeholders

Preferred Qualifications

Experience building and deploying foundation models or large-scale representation learning systems for sensor data in automotive/industrial settingsExposure to automotive, industrial, manufacturing, robotics, or consumer tech. sensing AI applicationsExperience with real-time, embedded, or edge AI systemsTrack record of patents or technology transfer in an industrial settingExperience managing cross-site or cross-disciplinary teams

Additional Information

Equal Opportunity Employer, including disability / veterans 

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.