Company Description

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch

• Reinvent yourself: At Bosch, you will evolve.  
• Discover new directions: At Bosch, you will find your place.
• Balance your life: At Bosch, your job matches your lifestyle.
• Celebrate success: At Bosch, we celebrate you.
• Be yourself: At Bosch, we value values.
• Shape tomorrow: At Bosch, you change lives.

Job Description

• Shape and drive long-term AI innovation strategy focusing on the mobility business sector
• Collaborate/coordinate with business units and central R&D organizations to accelerate brining AI innovation to the market
• Stay abreast of industry trends, emerging technologies, and regulatory changes and provide critical input to the executive leadership in their strategic investments and decision making
• Be a lead technical expert and thought leader in GenAI, multimodal foundation models and their business applications (ADAS, fleet management, sustainability ...)
• Take responsibility for providing strategic and technical competence in above-mentioned AI fields within Bosch
  • Create overview of AI activities within Bosch North America
  • Collaborate with our engineering divisions and spearhead PoC's
  • Perform regular Senior Management updates
• Engage with the AI R&D community: continually strengthen Bosch's network with academia and other top-tier research labs, e.g. via publications, conference attendance, and invited talks

Qualifications

Required Qualifications:

• Masters in Computer Science, Electrical/Computer Engineering, Mathematics, or Machine Learning / Statistics with 10+ years industry experience
• Prior experience in leading AI R&D/engineering team and bring products/services to the market
• 3+ years experience with deep learning frameworks, e.g. PyTorch, TensorFlow, JAX.
• 5+ years of industrial experience or academic experience on industrial partnership

Preferred Qualifications:

• PhD in Computer Science, Electrical/Computer Engineering, Mathematics, or Machine Learning / Statistics
• Established track record as an innovation leader as demonstrated by business/revenue impact and internal/external awards and recognition
• Established publication record in top-tier AI conferences/journals
• Broad knowledge of machine learning algorithms and principles, with a deep understanding in at least one specific area of expertise: Deep knowledge in Computer Vision, Deep Learning, Neural Radiance fields, Multimodal perception etc.
• Experience in defining product and/or research strategy for a team of 10+ size

Additional Information

EEO/OFCCP: Bosch is an equal opportunity employer and makes all employment decisions on the basis of merit. Bosch is fully committed to compliance with all applicable laws providing equal employment opportunities and to providing equal employment opportunity to all associates and applicants for employment without regard to race, gender, sex, pregnancy, childbirth (or related medical conditions, including but not limited to, lactation), national origin or ancestry, religion, gender identity, sexual orientation, age, disability, veteran status, genetic information or any other characteristic protected by law.

This equal employment opportunity policy applies to all terms and conditions and aspects of employment including, but not limited to, recruitment, hiring, retention, training, placement, promotion, advancement, transfers, job assignments, layoffs, leaves of absence, termination, and compensation. Our management team is dedicated to this policy with respect to all aspects of employment.

Bosch is dedicated to maintaining compliance with all federal, state, and local law, including but not limited to, affirmative action plan requirements, EEO-1 and VETS-4212 reporting, and I9 / work authorization guidance.

*Please note that 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.

Indefinite U.S. work authorized individuals only.  Future sponsorship for work authorization unavailable.

#LI-JM1