5,743 Autonomous Driving Systems jobs in the United States
Senior Automotive Software Engineer - Autonomous Driving Systems
Posted 3 days ago
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Job Description
Responsibilities:
- Develop and implement robust software for autonomous driving features, including perception, sensor fusion, localization, and control systems.
- Design and optimize real-time software components within an embedded automotive environment.
- Collaborate closely with hardware engineers, AI/ML specialists, and systems engineers to define software requirements and architecture.
- Write clean, efficient, and well-documented C/C++ code.
- Perform unit testing, integration testing, and system testing to ensure software quality and reliability.
- Debug and resolve complex software issues in both simulation and vehicle environments.
- Contribute to the definition and implementation of software development processes and best practices.
- Participate in code reviews to ensure code quality and adherence to standards.
- Stay current with the latest advancements in automotive software engineering and autonomous driving technologies.
- Document software designs, APIs, and testing procedures thoroughly.
- Work with ROS (Robot Operating System) or similar middleware.
- Contribute to safety-critical software development following ISO 26262 guidelines.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- 5+ years of professional experience in automotive software development.
- Proven experience with embedded systems and real-time operating systems (e.g., QNX, Linux).
- Strong proficiency in C/C++ programming.
- Experience with automotive communication protocols (e.g., CAN, Ethernet).
- Familiarity with autonomous driving algorithms and technologies.
- Experience with software development tools (e.g., Git, CMake, JIRA).
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Experience with AUTOSAR is a plus.
- Knowledge of functional safety standards (e.g., ISO 26262) is highly desirable.
Senior Automotive Software Engineer, Autonomous Driving Systems
Posted 4 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement robust software modules for autonomous driving systems using C++ and Python.
- Collaborate with cross-functional teams, including hardware engineers, AI/ML specialists, and systems engineers, to integrate software components.
- Develop and execute comprehensive unit and integration tests to ensure software reliability and performance.
- Participate in code reviews and contribute to the continuous improvement of software development processes.
- Debug and resolve complex software issues in simulation and real-world driving scenarios.
- Contribute to the definition of software architecture and system requirements for autonomous driving features.
- Stay abreast of the latest advancements in autonomous driving technology, sensor fusion, and AI/ML algorithms.
- Document software designs, algorithms, and test procedures.
- Mentor junior engineers and share expertise within the team.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- 5+ years of professional software development experience, with a significant focus on automotive systems and/or autonomous driving.
- Proficiency in C++ and Python programming languages.
- Experience with real-time operating systems (RTOS) and embedded systems development.
- Familiarity with software development lifecycles, Agile methodologies, and version control systems (e.g., Git).
- Knowledge of sensor technologies (LiDAR, RADAR, cameras) and their integration.
- Understanding of common autonomous driving algorithms (e.g., path planning, object detection, sensor fusion).
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and collaboration skills, with experience working effectively in remote, distributed teams.
- Experience with simulation tools (e.g., CARLA, NVIDIA Drive Sim) is a plus.
This is a remarkable opportunity to be at the forefront of automotive technology, contributing to the development of safe and intelligent vehicles. If you are a passionate software engineer looking to make a tangible impact in a cutting-edge field, this remote role offers the perfect platform for your ambition. Embrace the challenge of shaping the future of transportation from your dedicated home office. We value innovation, collaboration, and a drive for excellence in all our team members. Kansas City, Missouri, US .
Senior Principal Engineer- AI-based Autonomous Driving Systems

Posted 7 days ago
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Job Description
"Invented for Life" drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.
**Job Description**
As the Senior Principal Engineer AI-based Autonomous Driving Systems, your primary objective will be to leverage your expertise to drive the development and deployment of AI technology for automated driving at Bosch. You will be responsible for guiding the development teams to provide the functional architecture that ensures competitive performance. Together with the C-suite management you will be developing the organization to be capable of delivering such a product.
Tasks:
+ Lead the Bosch L2+ ADAS product development focusing on the usage of state-of-the-art E2E AI architectures.
+ Provide technical guidance to our global development team based on first-hand experience with taking an E2E AI L2+ ADAS product to market.
+ Drive fundamental E2E AI architecture design decisions and ensure their successful implementation.
+ Develop the organization's capabilities to deliver safe and high-quality AI-based autonomous driving systems.
+ Work closely with the data-driven software development and development eco-system to ensure seamless integration of AI technologies.
+ Collaborate with cross-functional teams to ensure the successful delivery of AI-based autonomous driving systems.
+ Stay updated on the latest industry trends and advancements in AI-based autonomous driving systems to drive innovation and continuous improvement.
**Qualifications**
**Basic Qualifications:**
+ Master or PhD in Computer Science, Electrical Engineering or similar
+ 10+ years of experience in data-driven software engineering and product development of AI-based autonomous driving systems
+ Proven industry experience in product development and public road release of AI-based autonomous driving systems
+ Excellent leadership and communication skills to effectively lead and collaborate with R&D teams
+ Knowledge of PaaS approach using cloud as a foundation, e.g. MS Azure
+ Profound knowledge in mapping AI-models on embedded and resource constrained hardware
+ Proficient in coding e.g. with C++ , Python
+ Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale
**Preferred Qualifications:**
+ Proven leadership skills of large heterogeneous and global project teams including engineers, product and project managers as well as financial staff, e.g. controlling
+ Comfortable in interacting with C-Suite management to develop overall vision and its implementation
+ Knowledge regarding the automated driving technology and the automotive industry in general including relevant automotive standards as ISO-26262
**Additional Information**
The U.S. base salary range for this full-time position is $240,000 - $300,000. 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. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.
**_Equal Opportunity Employer, including disability / veterans_**
**_#LI-JM1_**
_*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._
Lead Automotive Systems Engineer - Autonomous Driving
Posted 3 days ago
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Job Description
Machine Learning Engineer, Geometric Vision, Self-Driving
Posted 6 days ago
Job Viewed
Job Description
What You'll Do
- Develop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniques
- Leverage vast amounts of fleet data for algorithm development and validation
- Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems
- Deploy and scale your work across millions of autonomous vehicles worldwide
- Collaborate closely with a high-caliber team dedicated to realizing full autonomy
What You'll Bring
- Proven ability to rapidly prototype and optimize algorithms
- Proficiency in writing production-quality code in Python
- Proficiency in c++ is highly desirable
- Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience
- Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting)
- Practical experience with PyTorch
- Familiarity with deploying neural network models is an advantage
Compensation and Benefits Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $ paycheck contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Machine Learning Engineer, Reinforcement Learning, Self-Driving
Posted 6 days ago
Job Viewed
Job Description
What You'll Do
- Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
- Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models
- Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
- Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet
What You'll Bring
- Strong experience with Python, any major deep learning framework, and software engineering best practices
- An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.
- Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scale
- Comfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products
Compensation and Benefits Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $ paycheck contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Machine Learning
Posted 10 days ago
Job Viewed
Job Description
Duration-Contract
Location- Cupertino, C
JD
- 12+ years of experience in Client Engineering with experience in NLP Experience in deploying Client models
- Strong understanding of machine learning principles, especially in the context of LLMs.
- Experience building chatbots using LLM's• Managing Data pipeline/Transforms•
- Experience in Data injestion and Data Visualisation through Tableau or related tools.
- Experience with Data Robot is recommended
- Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.
- 10 & Above Years
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Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
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Machine Learning
Posted 10 days ago
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Job Description
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Machine Learning
Posted 10 days ago
Job Viewed
Job Description
- Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques
- Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN and LSTM, word2vec, encoder/decoder models, attention and transformer models, transfer learning (ULMFiT), foundation models from Azure Open AI
- Database - Snowflake, Oracle, Graph database
- Programming & Scripting - Python, R, Unix-Shell scripting, PySpark
Machine Learning Engineer, Destination & Special Behaviors, Self-Driving
Posted 6 days ago
Job Viewed
Job Description
Tesla is looking for an experienced applied Machine Learning Engineers to help build models that deliver robust for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers.
What You'll Do- Work on developing novel techniques for robustly handling start and end of trip Robotaxi behaviors in a rapidly scalable way
- Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
- Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models
- Work cross-functionally across ground truth generation, ML model training, and on-vehicle deployment
- Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
- Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet
What You'll Bring
- Strong experience with Python, any major deep learning framework, and software engineering best practices
- An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.
- Proven expertise in deploying production ML models for self-driving and robotics at scale
- Any experience with C++ would help integrate with vehicle firmware and take projects from ideas to shipped products
Compensation and Benefits Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $ paycheck contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.