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Full Time Autonomous Driving Engineer Jobs (NOW HIRING)

This role will be a part of a team to expand Zoox's autonomous mobility to new geofences. We are looking for a Software Engineer to improve and develop autonomous driving capabilities in new ...

Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is ... We are looking for versatile engineers to shape core components of the next generation of the Helm ...

DiDi is a technology company focused on autonomous driving solutions, and they are seeking a Software Engineer II. The role involves designing and developing robotic simulation systems and highly ...

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Full Time Autonomous Driving Engineer information

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$59K

$137.3K

$196.5K

How much do full time autonomous driving engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for full time autonomous driving engineer in the United States is $137,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $196,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Autonomous Driving Engineer, and why are they important?

To thrive as a Full Time Autonomous Driving Engineer, you need strong expertise in computer science, robotics, and machine learning, typically supported by a degree in engineering or a related field. Familiarity with tools like ROS (Robot Operating System), C++, Python, and experience with sensor fusion, perception algorithms, and autonomous vehicle simulation systems is essential. Strong problem-solving skills, teamwork, and effective communication are crucial soft skills for success in this role. These skills ensure the development of safe, reliable, and innovative autonomous driving systems in a rapidly evolving industry.

What is the difference between Full Time Autonomous Driving Engineer vs Autonomous Vehicle Software Engineer?

AspectFull Time Autonomous Driving EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Robotics, or Electrical Engineering; experience in autonomous systemsSimilar credentials; focus on software development for autonomous systems
Work EnvironmentResearch labs, automotive companies, tech firms working on autonomous vehiclesSoftware development teams, automotive or tech companies, often in collaborative environments
Industry UsageUsed broadly in autonomous vehicle development projectsPrimarily in software development for autonomous systems within automotive industry

Both roles require similar educational backgrounds and work environments, focusing on autonomous vehicle technology. The main difference lies in scope: Full Time Autonomous Driving Engineers often oversee entire systems, while Autonomous Vehicle Software Engineers focus specifically on software components.

What are some of the main challenges faced by Full Time Autonomous Driving Engineers in ensuring the safety and reliability of self-driving systems?

Full Time Autonomous Driving Engineers often encounter challenges related to ensuring the safety and reliability of autonomous vehicles in unpredictable real-world conditions. This involves integrating complex sensor data, handling edge cases that are rare but critical, and maintaining robust testing and validation processes. Engineers must also collaborate closely with software, hardware, and testing teams to address issues like sensor calibration, perception errors, and decision-making logic. Staying updated with regulatory standards and adapting systems to new environments are additional ongoing challenges in this rapidly evolving field.

What does a Full Time Autonomous Driving Engineer do?

A Full Time Autonomous Driving Engineer designs, develops, and tests systems that enable vehicles to drive themselves safely and efficiently. Their work often involves integrating sensors, creating algorithms for perception and decision-making, and collaborating with multidisciplinary teams to ensure system reliability. They may also work on simulation, data analysis, and software updates to improve autonomous functionalities and comply with safety standards. The role requires strong skills in programming, robotics, and machine learning, as well as a deep understanding of automotive technologies.
More about Full Time Autonomous Driving Engineer jobs
What are the most commonly searched types of Autonomous Driving Engineer jobs? The most popular types of Autonomous Driving Engineer jobs are:

Director, Simulation and Evaluation - Autonomous Driving

Bosch Group

Sunnyvale, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

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.

"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 Director for Simulation and Evaluation, you will sit at the center of the Global AI Backbone, architecting the multi-level simulation ecosystems required to train, evaluate and validate next-generation Foundation Models. You will bridge the gap between high-fidelity sensor simulation and generative world models, ensuring our AI systems are statistically proven to be safe and robust before hitting the road.


This is a global role that requires you to define and manage a global simulation and evaluation ecosystem that enables continuous development and deployment of our ADAS systems.


Key Responsibilities:

  • Lead AI Simulation & Foundation Model Strategy: Define the roadmap for high throughput, closed-loop simulation.
  • Research and propose new methodologies to assess the quality, safety, and realism of ML models used for training, evaluation and validation of L2++ and L4 automated driving stacks.
  • Architect Evaluation Frameworks: Build the infrastructure. Develop tools that allow for rapid iteration of Foundation Models, ensuring model improvements translate into measurable gains in fleet-wide performance.
  • Drive Generative AI Innovation: Lead the development of World Models to predict and generate complex, realisticedge cases. Build data pipelines for signal discovery, data  labeling, and metric computation based on large-scale simulations.
  • Production Release Authority: Establish the "gold standard" for evaluation that informs SoP (Start of Production) and model release decisions. Translate complex simulation data into technical strategy documentation for executive decision-making.
  • Global Technical Leadership: Lead, mentor and inspire a cross-functional global team of SWEs, Data Scientists, and ML experts, fostering a culture of rigorous statistical validation and innovative engineering.
Qualifications

Basic Qualifications:

  • Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, Statistics, Physics, or a related quantitative field.
  • 10+ years of experience in software engineering, with a specific focus on embedded systems, automotive, or robotics.
  • 7+ years of experience leading complex software projects from concept to production within the ADAS or Autonomous Driving domain.
  • Direct, hands-on experience with L2++ or L4 system Start of Production (SoP), specifically overseeing simulation, testing, and validation protocols for high-stakes deployments.
  • 5+ years of involvement with the development or evaluation of large-scale AI, LLMs, or World Models/Generative AI models for simulation and behavioral prediction.
  • Expert-level understanding of multi-level simulation platforms, including high-fidelity sensorlevel simulation for perception and scalable object-level simulation for behavioral training.
  • Proven mastery of data-driven report writing and technical strategy documentation designed for executive decision-making and safety case justifications.

Preferred Qualifications:

  • 5+ years of experience with high-throughput simulation, GPU-accelerated technologies (CUDA), parallel computing, and Reinforcement Learning (RL).
  • Mastery of C++ and Python. Experience building automated data pipelines for signal discovery, data labeling, and large-scale metric computation.
  • 5+ years of experience managing and mentoring global, multi-disciplinary teams of Software Engineers, Data Scientists, and ML experts.
  • Working knowledge of automotive industry safety standards and regulations (e.g., ISO 26262, SOTIF) as they apply to virtual validation.
Additional Information

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 between $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.

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