4,398 Autonomous Driving jobs in the United States

• Design, implement and roll-out important aspects of our state-of-the-art robotics test framework, enabling the execution of sophisticated test campaigns on various hardware setups
• Define and execute the integration of AI features for test management and execution
• Work on data pipelines, model training and validation, and performance evaluation
• Support the integration and testing of our framework, as well as its continuous operation in production
• Continuously drive innovation by bringing the latest developments in academia to the table and evaluate them as potential candidate for the next version

• Currently pursing a Bachelor's, Masters, or PhD degree in CS, CE, E/E or comparable related to ML/AI
• Minimum GPA of 3.0
• 18 years or older
• Strong coding skills in python
• Hands-on experience with Pytorch for model development, training and testing in a Linux environment
• Solid understanding of machine learning fundamentals and hands-on experience with training and fine-tuning models.
• Strong understanding of the machine learning lifecycle-from data preprocessing and model training to evaluation, deployment, and monitoring
• Experience with state-of-the-art model architectures, including transformers, CNNs, LSTMs, RAG.
• Familiarity with raw data as well as meta-data management system (e.g. Databricks)
• Experience with machine learning platforms like Azure ML
• Usage of modern API frameworks as well as MCP servers
• Strong communication and team collaboration skills

• Familiarity with open-source Robot Framework
• Understanding of the technologies behind self-driving vehicles and/or general robotics
• Familiarity with agile working methodologies and tools (e.g. ADO)
• Strong feel of ownership for high quality results

• Developing and optimizing software for perception, sensor fusion, path planning, and control modules in autonomous driving systems.
• Implementing and testing algorithms using C++, Python, and related programming languages.
• Collaborating with hardware engineers to integrate and validate software on embedded automotive platforms.
• Designing and conducting simulations to test the performance and safety of autonomous driving features.
• Analyzing large datasets from vehicle sensors to identify performance bottlenecks and areas for improvement.
• Working with ML/AI models for object detection, tracking, and prediction.
• Participating in code reviews, design discussions, and contributing to the overall software architecture.
• Debugging and troubleshooting software issues in both simulation and real-world vehicle environments.
• Staying current with advancements in AI, machine learning, and automotive technologies.
• Ensuring software meets stringent safety and quality standards for automotive applications.

• Master's or PhD in Electrical Engineering, Computer Science, Robotics, or a related field.
• 10+ years of experience in autonomous driving systems development.
• Extensive knowledge of perception algorithms, sensor fusion, SLAM, motion planning, and vehicle control.
• Proficiency in C++, Python, and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with ROS (Robot Operating System) and simulation environments.
• Deep understanding of automotive safety standards (e.g., ISO 26262).
• Proven ability to lead complex engineering projects and mentor team members.
• Excellent problem-solving, analytical, and communication skills.
• Experience with hardware-software integration for automotive systems.

• Design, develop, and integrate autonomous driving system components.
• Implement and optimize algorithms for perception, planning, and control.
• Work with sensor data (LiDAR, radar, cameras) and deep learning models.
• Develop and execute rigorous testing and validation strategies.
• Collaborate with a global remote engineering team.
• Define system architectures and technical roadmaps.
• Ensure the safety and reliability of autonomous driving functions.
• Mentor junior engineers and contribute to technical excellence.

• Design, develop, test, and deploy software modules for autonomous driving systems, including perception, planning, and control algorithms.
• Implement and optimize algorithms for sensor fusion, object detection, tracking, and path planning.
• Work with large datasets from vehicle sensors (LiDAR, radar, cameras) to train and validate machine learning models.
• Develop and maintain real-time embedded software for automotive ECUs using C++ and other relevant programming languages.
• Collaborate with cross-functional teams, including hardware engineers, systems engineers, and test engineers, to integrate and validate software components.
• Debug and troubleshoot complex software issues in simulation and on-vehicle environments.
• Write clear, well-documented, and maintainable code adhering to industry best practices and coding standards.
• Participate in code reviews, architectural discussions, and continuous improvement initiatives.
• Contribute to the development of safety-critical automotive software according to ISO 26262 standards.
• Stay current with the latest advancements in autonomous driving technology, AI, and automotive software engineering.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Minimum of 4 years of professional experience in software development, with at least 2 years focused on automotive embedded systems or autonomous driving.
• Strong proficiency in C++ and experience with relevant software development tools and environments.
• Experience with software development for real-time operating systems (RTOS) is highly desirable.
• Knowledge of sensor fusion techniques and experience with perception algorithms (e.g., computer vision, deep learning).
• Familiarity with autonomous driving software stacks (e.g., ROS, Autoware) is a plus.
• Understanding of software development lifecycles and agile methodologies.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and teamwork abilities.
• Experience with automotive communication protocols (e.g., CAN, Ethernet) is beneficial.
• Familiarity with simulation tools for autonomous driving development.

As a Senior Calibration Engineer at 42dot, you will lead the development and implementation of cutting-edge calibration technologies to support mass production and deployment of autonomous vehicles. You will be responsible for designing and executing both factory and online calibration procedures, ensuring that all sensor systems operate with the highest precision. You will also play a key role in detecting and correcting mis-calibrations, and in designing robust validation methods to verify calibration quality. Working closely with teams across perception, localization, and robotics, your contributions will directly impact the reliability and safety of autonomous driving systems.

Responsibilities

• Develop and refine factory and online calibration methodologies for a wide range of sensors, including cameras, IMUs, LiDARs, radars, and wheel speed sensors.

• Design algorithms and pipelines for detecting sensor mis-calibration and performing re-calibration autonomously.

• Define and implement test and validation procedures to ensure calibration quality and consistency at scale.

• Automate calibration workflows to meet the demands of mass production environments.

• Collaborate with cross-functional teams (perception, SLAM, hardware, manufacturing) to ensure end-to-end system accuracy and reliability.

• Stay up to date with the latest calibration techniques in robotics and computer vision, and drive innovation within the team.

• Mentor junior engineers and contribute to technical leadership within the team.

Qualifications

• PhD degree in robotics, electrical engineering, computer science, or a related field

• Minimum of 2 years of industrial experience in relevant fields such as calibration, robotics, or autonomous systems

• Strong understanding of multi-sensor calibration techniques and geometric computer vision

• Hands-on experience with the calibration of cameras, IMUs, LiDARs, wheel speed sensors, and other perception sensors

• Proficient in modern C++ and Python

• Familiar with non-linear optimization and state estimation techniques

Preferred Qualifications

• Experience with autonomous driving system development or deployment

• Experience in high-volume factory calibration or automotive manufacturing environments

• Familiarity with SLAM, sensor fusion, and localization pipelines

• Experience with simulation tools and synthetic data for calibration testing

• Experience with hardware-in-the-loop (HIL) or end-of-line (EOL) validation frameworks

Additional Information

• In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.

• All documents must be submitted in PDF format and under 30MB in size.

• If you experience issues uploading your resume, please send it along with the job posting URL to .

• We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.

• Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).

• 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

• 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

※ Please review the following information before applying.

• How 42dot works, About 42dot Way →

  $130,000 - $148,000

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.

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 ( 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, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, 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 Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by developing cutting-edge technologies and prototype systems in the fields of autonomous driving, automation and robotics. These include methods for 3D Perception, knowledge distillation, multimodal learning, and motion prediction/planning as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICCV, ECCV, ICML, ICLR, and NeurIPS.

Job Description

In this internship, some responsibilities will include:

• Conduct advanced research and engineering in multimodal LLMs, 3D perception, knowledge distillation, and diffusion models to address challenges in autonomous systems.

• Apply research results to real-world applications with high quality implementation

• Integrate the resulting system/software into existing Bosch platform

• Summarize research findings in high-quality paper and/or patent submissions

Qualifications

Basic Qualifications

• Ph.D. student in Computer Science or related fields

• Minimum 3.0 GPA

• Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: multimodal foundation models, diffusion models, reinforcement learning detection/segmentation, 3D scene understanding, autonomous driving, and sensor fusion.

• Solid Python skills and proficient with libraries such as MMCV, and PyTorch.

Preferred Qualifications

• Publication record in top venues including CVPR, ICCV, ECCV, ICML, ICLR, and NeurIPS.

• Familiar with SOTA vision and learning methods of multimodal LLMs, diffusion models, Diffusion Models, knowledge distillation, and so on.

• Able to work independently, has strong research and problem-solving skills

• Strong background in math and statistics is a plus.

• Good communication and teamwork skills

Additional Information

Equal Opportunity Employer, including disability / veterans

The U.S. base salary range for this intern position is $45.50-$60.00 hourly. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.

*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.

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!