Research Manager - Multimodal AI

Bosch Group Inc

Pittsburgh, PA

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JOB DETAILS

SKILLS

Artificial Intelligence (AI), Budget Management, Business Solutions, Circuit Design, Communication Skills, Computer Science, Computer Skills, Conferences, Deep Learning, Electrical Engineering, Entrepreneurship, Euro, Federal Laws and Regulations, Forecasting, Healthcare, Industrial Research, Intellectual Property (IP), Internet Technology, Intrusion Prevention Systems, Large-Scale Systems, Leadership, Machine Learning, Manufacturing, Manufacturing Automation, Mathematics, Mentoring, Patent Strategy, Patents, Problem Solving Skills, Product Engineering, Product/Service Launch, Publications, Radio Frequency, Research & Development (R&D), Resource Management, Return on Investment (ROI), Robotics, Semiconductors, Signal Processing, Simulation, Software Engineering, State Laws and Regulations, Statistics, Team Lead/Manager, Technical Research, Technical Support, Wireless Communications

LOCATION

Pittsburgh, PA

POSTED

3 days ago

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 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 toproduct 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

Qualifications

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

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.

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About the Company

Bosch Group Inc

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