Research Scientist – Robotics AI

Company Description

The Bosch Research and Technology Center North America (RTC-NA), with offices in Sunnyvale, California; Pittsburgh, Pennsylvania; and Cambridge, Massachusetts, is part of the global Bosch Group. Bosch is a multinational technology and engineering company with over €70 billion in annual revenue, more than 400,000 employees worldwide, a diverse product portfolio, and a history spanning more than 125 years.

RTC-NA is dedicated to developing technologies and system solutions across a range of Bosch business sectors, including:

• Artificial Intelligence

• Energy Technologies

• Internet Technologies

• Circuit Design

• Semiconductors & Wireless Technologies

• Advanced MEMS Design

As part of Bosch's global research organization, our Silicon Valley AI research team focuses on:

• Foundation Models

• Big Data Visual Analytics

• Explainable AI (XAI)

• Natural Language Processing

• Computer Vision & Mixed Reality

• Cloud Robotics

• Data Science

• AI Systems Engineering

• Time-Series Analysis

We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services across application areas including:

• Automated Driving

• Advanced Driver Assistance Systems (ADAS)

• Robotics

• Smart Manufacturing

• Enterprise AI

• Healthcare

• Smart Home Solutions

• Smart Building Technologies

Originating from Bosch's AI research efforts in Silicon Valley, the Intelligent Autonomous Systems group is responsible for enabling next-generation autonomous Bosch products. We advance the state of the art in automated driving, ADAS, robotics, and automation through innovations spanning system architecture and AI technologies.

Our research areas include:

• Motion Planning

• High-Level Task Planning

• Decision Making Systems

• Reliable Distributed Computing Frameworks

• Autonomous Systems Engineering

We work closely with Bosch business units to transfer research into production systems and collaborate with leading academic and industry partners. Our team regularly publishes at premier conferences and journals, including:

• CVPR

• ICRA

• IROS

• RSS

• NeurIPS

• CoRL

Job Description

As a Research Scientist – Robotics AI, you will contribute to research projects at the forefront of autonomous driving, robotics, and embodied AI.

Responsibilities

• Conduct research and engineering in core AI and machine learning disciplines to enable Embodied AI applications across ADAS, autonomous driving, industrial automation, robotics, and related domains.

• Advance the state of the art in AI-powered robotics, incorporating large vision-language-action models to improve reasoning capabilities and explainability.

• Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration.

• Apply research innovations to solve real-world challenges while ensuring robust integration into Bosch platforms and products.

• Stay at the forefront of innovation by actively participating in conferences, workshops, and technical communities.

• Publish research findings in leading conferences and journals and contribute to intellectual property development through patent submissions.

Qualifications

Basic Qualifications

• Ph.D. in Computer Science, Robotics, or a related discipline, or a Master's degree with 2+ years of relevant industry experience.

• Minimum of 3 years of R&D experience or equivalent graduate research experience in AI technologies, including Computer Vision and robotic or automotive motion and behavioral planning.

• Proficiency in one or more programming languages commonly used in machine learning, such as:

  • Python

  • C++

  • Rust

• Experience with major machine learning frameworks such as TensorFlow or PyTorch.

• Hands-on experience with reinforcement learning for behavior planning, motion planning, or related applications.

• Familiarity with reinforcement learning techniques, including:

  • PPO

  • DQN

  • DDPG

• Strong interpersonal, communication, and collaboration skills.

• Strong publication record in leading machine learning, robotics, deep learning, or computer vision conferences and journals.

Preferred Qualifications

• Experience developing and deploying real-world autonomous systems.

• Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models, particularly multimodal vision-language-action models.

• Experience in computer vision and deep learning, including one or more of the following areas:

  • Multimodal Transformers

  • Vision-Language Models (VLMs)

  • Diffusion Models

  • Neural Radiance Fields (NeRF)

  • Gaussian Splatting

  • Object Detection and Segmentation

  • 3D Scene Understanding

  • Sensor Calibration

  • Structure-from-Motion (SfM)

  • Voxel-Based Representations

  • Bird's-Eye View (BEV) Feature Representations

Compensation & Benefits

We offer a competitive base salary for this position in California:

Base Salary Range: $165,000 – $185,000 USD

Compensation also includes:

• Annual Corporate Bonus

• Long-Term Incentive Bonus Program

Individual compensation will be determined based on factors such as:

• Relevant work experience

• Technical expertise

• Job knowledge

• Scope and complexity of the role

• Geographic location

Benefits

At Bosch, employee well-being is a priority. Our comprehensive benefits package includes:

• Premium Health Coverage

• 401(k) with Generous Company Matching

• Financial Planning Resources

• Paid Time Off

• Parental Leave

• Life Insurance

• Disability Coverage

Additional details regarding benefits will be provided during the interview process.

Learn more about Bosch benefits at:

www.myboschbenefits.com

Equal Opportunity Employment

Bosch is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.

Bosch complies with all applicable federal, state, and local drug-testing regulations. Employment is contingent upon the successful completion of both a background check and drug screening prior to the start date.