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 hybrids
• Ensure research outcomes meet both scientific excellence and product relevance
• Lead 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 problems
• Maintain 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 artifacts
• Live by ROI mindset: mapping R&D targets to product roadmap and potential market opportunities
• Partner closely with product, engineering, and business teams to deploy AI at scale
• Balance long-term research with near- and mid-term business impact
• Support technology transfer, IP generation, and patent strategy

People & Team Leadership

• Lead, mentor, and grow a team of PhD-level researchers and senior engineers
• Manage budget/resources and secure team competency demands from internal stakeholders
• Foster a culture of scientific rigor, collaboration, inclusion, and execution excellence
• Recruit top research and engineering talent globally
• Provide technical and career mentorship to team members

Required Qualifications

• PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Applied Mathematics, Statistics specializing Machine Learning, Signal processing or a related field
• 5+ years of experience in AI research and development, with demonstrated commercialization or product deployment of ML systems
• 3+ 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 fusion
  • High-frequency signal modeling and representation learning
  • Signal processing combined with deep learning
  • Self-supervised, foundation, or generative models
• Proven track record of peer-reviewed publications in top ML and/or signal processing venues
• Strong 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 settings
• Exposure to automotive, industrial, manufacturing, robotics, or consumer tech. sensing AI applications
• Experience with real-time, embedded, or edge AI systems
• Track record of patents or technology transfer in an industrial setting
• Experience managing cross-site or cross-disciplinary teams

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. 

#LI-JM1