Research Manager – Multimodal AI

Bosch Group•Pittsburgh, PA

11h

About The Position

The Bosch Research and Technology Center North America is seeking a research manager (group leader) to lead a high-impact industrial AI research team. This team operates at the intersection of cutting-edge machine learning and signal processing to build multimodal sensing AI solutions, including foundation models and Generative AI for various signals like radar, ultrasonic, IMU, audio, vibration, and RF signals. The goal is to enable cross-domain business applications in automotive, consumer products, manufacturing, and healthcare. The role involves defining and executing research vision, leading R&D, fostering a culture of excellence, and collaborating with internal and external partners. The position also emphasizes productization, commercialization, and people leadership, including mentoring and growing a team of PhD-level researchers and senior engineers.

Requirements

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.

Nice To Haves

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.

Responsibilities

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, including representation learning, self-supervised learning, and multimodal fusion.
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.
Collaborate with academic partners and represent the group in the broader research community.
Foster entrepreneurial research and establish rigorous SW engineering practices towards translating research into production-ready artifacts.
Map R&D targets to product roadmaps and potential market opportunities with an ROI mindset.
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.
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.