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Adas Internship Jobs (NOW HIRING)

Previous experience or research with Autonomous Driving, Advanced Driver Assistance Systems (ADAS ... Knowledge of vehicle communication networks/protocols $19 - $65 an hour Our internship hourly rates ...

Previous experience or research with Autonomous Driving, Advanced Driver Assistance Systems (ADAS ... Knowledge of vehicle communication networks/protocols $19 - $65 an hour Our internship hourly rates ...

Previous experience or research with Autonomous Driving, Advanced Driver Assistance Systems (ADAS ... Knowledge of vehicle communication networks/protocols $19 - $65 an hour Our internship hourly rates ...

Previous experience or research with Autonomous Driving, Advanced Driver Assistance Systems (ADAS ... Knowledge of vehicle communication networks/protocols $19 - $65 an hour Our internship hourly rates ...

Knowledge of autonomous driving concepts, Operational Design Domains (ODDs), ADAS systems, or NHTSA ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

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Adas Internship information

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How much do adas internship jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for adas internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an ADAS Internship?

An ADAS Internship is a temporary position where students or recent graduates gain practical experience working with Advanced Driver Assistance Systems (ADAS). Interns typically assist with the development, testing, and evaluation of technologies that enhance vehicle safety and automation, such as lane-keeping assist, adaptive cruise control, and collision avoidance systems. This role helps interns build valuable skills in automotive engineering, software development, and sensor integration, often working alongside experienced engineers. An ADAS internship can be a stepping stone to a career in the rapidly evolving field of autonomous and semi-autonomous vehicles.

What types of projects might I work on during an ADAS internship, and how do these projects contribute to real-world applications?

As an ADAS (Advanced Driver Assistance Systems) intern, you'll often work on projects involving sensor data analysis, algorithm development, or simulation testing for features like lane-keeping, adaptive cruise control, or collision avoidance. These projects are designed to mirror real challenges in autonomous and semi-autonomous vehicle development, giving you hands-on experience with both hardware and software components. You'll typically collaborate with engineers and researchers, contributing to project milestones that directly impact the safety and functionality of ADAS technologies in production vehicles. This exposure helps you build both technical and teamwork skills, valuable for future roles in automotive engineering.

What are the key skills and qualifications needed to thrive as an ADAS (Advanced Driver-Assistance Systems) Intern, and why are they important?

To thrive as an ADAS Internship candidate, you generally need a background in computer science, electrical engineering, or related fields along with strong analytical and programming skills. Familiarity with tools such as MATLAB, Python, C++, and experience with sensor technologies or simulation platforms is often required. Strong problem-solving abilities, collaboration, and effective communication are soft skills that help interns excel in team-based, innovative environments. These skills and qualities are crucial for contributing to the development of safety-critical automotive technologies and adapting quickly in a fast-evolving industry.
More about Adas Internship jobs
What cities are hiring for Adas Internship jobs? Cities with the most Adas Internship job openings:
What are the most commonly searched types of Adas jobs? The most popular types of Adas jobs are:
What states have the most Adas Internship jobs? States with the most job openings for Adas Internship jobs include:
Infographic showing various Adas Internship job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Senior AI Research Scientist- Time-Series Foundational Models

Bosch Group

Sunnyvale, CA

$115K - $146K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Job description

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 70 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) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.

Job Description

Job Responsibilites:

  • Develop and lead research of AI projects that label, predict, classify, cluster, describe and fuse multi-sensor data (including acoustic, telemetry timeseries signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data), to improve / enable advance driver assistance system (ADAS) functionality in vehicles and AI functionalities in other Bosch products.
  • Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals. Must have a grasp of both low and high frequency models. 
  • Integrate and extend timeseries models to leverage information from other auxiliary modalities such as videos and images to enhance context understanding.
  • Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
  • Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions.
Qualifications

Basic Qualifications

  • Ph.D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience
  • Expertise with Time Series FMs (beyond the time series task of forecasting)
  • In-depth experience in signal processing for sensor data and their integration with deep-learning methods
  • Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning
  • A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects
  • Strong interpersonal, communication, and teamwork capabilities

Preferred Qualifications

  • 3+ years of experience in industrial research
  • Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI
  • Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow)
  • Familiarity with high-performance computing systems and job schedulers (Slurm, LSF)
  • Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets
  • Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints
Additional Information

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! 

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.

The U.S. base salary range for this full-time position is $165,000 - $ 195,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process. 

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