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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 ...

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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 Jun 29, 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:
Infographic showing various Full Time Autonomous Driving Engineer job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.

Senior Safety Management System (SMS) Lead - Autonomous Driving

Volkswagen AG

Austin, TX โ€ข On-site

Full-time

Posted 15 days ago


Job description

As ADMT, we develop and realize fully autonomous mobility and transportation services. Our mission is to make mobility-and transportation-as-a-service safe, accessible and most attractive for society. For that, we cover the entire ground from strategy and business development, software development and end-2-end integration, fleet operations to next-generation self-driving systems. Being the driver in Volkswagen Group initiative for mobility solutions, we're an integral part of Volkswagen Group's future success.
Brief Role Description
The Safety Management System Senior Engineer for Autonomous Driving is responsible for defining, governing, and continuously improving the organization's Safety Management System (SMS) as an organizational safety framework for autonomous vehicle systems in compliance with applicable regulations and industry standards and alongside the global MOIA organization.
The role ensures that safety risks related to automated driving functions are systematically identified, assessed, mitigated, and monitored throughout the system lifecycle through formal SMS processes including safety policy, safety risk management, safety assurance, and safety promotion.
The SMS Senior Engineer works closely with system, software, hardware, validation, and operations teams to govern how safety is demonstrated and accepted across design, development, testing, and deployment.
This position supports regulatory engagement, safety assurance activities, and the demonstration of safety readiness for autonomous vehicle operation.
This role is focused on system-level safety governance, SMS operation, and safety assurance oversight. It does not own item-level functional safety engineering activities or day-to-day operational incident response.
Possible Tasks within this Role
Safety Management System Development & Governance (40%)
  • Develop, implement, and maintain the Safety Management System for autonomous driving programs
  • Own the definition and operation of SMS governance structures, including safety roles, responsibilities, escalation paths, and safety decision-making forums
  • Ensure SMS alignment with automotive and autonomous driving safety standards and guidance (e.g., ISO 26262, ISO 21448 / SOTIF, ISO 24089, UL 4600, UNECE ADS guidance) as inputs to the SMS, not as standalone compliance activities.
  • Define SMS processes covering safety policy, roles and responsibilities, escalation, and decision-making
  • Define and maintain safety policy, safety objectives, and safety performance indicators (SPIs)]
  • Define governance, processes, and acceptance criteria for safety case development, review, and approval within the Safety Management System
  • Maintain SMS documentation, safety plans, and safety cases at program and system level

Safety Culture & Cross-Functional Collaboration (25%)
  • Promote a strong safety culture within autonomous driving development and operations teams
  • Provide guidance and training on SMS processes, safety risk management, and reporting
  • Collaborate closely with systems engineering, software, AI/ML, validation, quality, and operations teams
  • Support management decision-making with clear safety risk assessments and recommendations

Safety Assurance & Lifecycle Integration (15%)
  • Integrate safety assurance activities across the V-model and system lifecycle
  • Define SMS-level safety acceptance criteria and evidence expectations for lifecycle milestones and release gates]
  • Monitor safety performance through leading and lagging safety indicators
  • Define and govern system-level safety risk assessment methodologies, acceptance criteria, and evidence expectations across the system lifecycle
  • Support safety incident processes, particularly post-incident analyses from an SMS learning and systemic risk perspective]
  • Ensure that system safety cases and VSSA are developed, reviewed, and maintained in alignment with Safety Management System requirements
  • Review systemic corrective and preventive actions (CAPAs) arising from operational incidents, audits, and assessments for effectiveness at the system and organizational level

Change Management, Release & Operational Safety (10%)
  • Support safety impact assessments for system changes, software updates, and feature releases
  • Ensure safety considerations are addressed for continuous integration, continuous deployment, and OTA updates
  • Contribute to operational safety processes including monitoring, incident response, and field feedback
  • Support definition and execution of safety readiness reviews prior to testing or deployment

Regulatory, Audit & External Interface (10%)
  • Support regulatory submissions, safety assessments, and audits related to autonomous driving systems
  • Contribute to safety cases and documentation supporting approvals, permits, or exemptions
  • Act as an interface with regulators, certification bodies, and external assessors on safety matters
  • Track evolving global ADS regulations and translate them into internal SMS requirements

Qualification requirements
Years of Relevant Experience:
  • 7+ years of experience in safety engineering or safety management for automotive or autonomous systems
  • Hands-on experience working in safety-critical, software-intensive system development environments
  • Proven cross-functional and global collaboration experience.

Education:
Required:
  • Bachelor's degree in Engineering (Automotive, Systems, Software, Electrical, or related field), or equivalent technical experience in safety-critical system development or safety assurance

Desired:
  • Master's degree in Engineering (Automotive, Systems, Software, Electrical, or related field)
  • Formal Safety Management System (SMS) certifications are not required for this role.

Skills:
  • Analytical, systems-thinking mindset with strong attention to detail
  • Clear and confident communicator across technical and non-technical audiences
  • Ability to work effectively in cross-functional and fast-paced development environments
  • Proactive, pragmatic, and committed to continuous safety improvement

Work Flexibility:
  • Travel is estimated to be 20-25%, as needed within U.S. and overseas, mainly Germany

Specialized Skills
Specialized Skills:
Required
Desired
  • Strong knowledge of automotive and autonomous driving safety standards (e.g., ISO 26262, ISO 21448, UL 4600)
  • Ability to interpret, tailor, and apply these standards within a Safety Management System for autonomous vehicle development and deployment
  • Understanding of autonomous driving architectures, perception, planning, control, and ODD concepts
  • Ability to review and assess safety cases against defined Safety Management System acceptance criteria using structured safety evidence
  • Familiarity with regional ADS regulations and guidance (UNECE, NHTSA, local AV permitting frameworks)
  • Exposure to fleet operations, incident response, and real-world safety monitoring
  • Safety Management System Experience
    Demonstrated experience defining, operating, or governing an organizational Safety Management System (SMS) for a safety-critical, software-intensive system (e.g., autonomous driving, aviation, rail, nuclear), including safety policy, safety risk management, safety assurance, and safety promotion.
  • Working knowledge of perception, prediction, planning, and control stacks
  • Familiarity with AI/ML failure modes (e.g., dataset bias, corner cases, overfitting, distribution shift)
  • Experience with simulation-based safety validation and scenario generation
  • Familiarity with SIL, HIL, and vehicle-in-the-loop testing approaches
  • Experience with safety analyses including HARA, FMEA, FTA, and scenario-based safety assessment
  • Experience structuring and maintaining safety cases
  • Familiarity with evidence-based safety arguments for complex, learning-enabled systems
  • Experience defining or governing organizational Safety Management Systems for complex, software-intensive systems
  • Experience interacting with regulators, assessors, or certification bodies in ADS contexts
  • Participation in industry working groups, standards committees, or safety consortia
  • Experience applying these standards within an organizational Safety Management System and safety governance framework]
  • Ability to review and assess safety cases against defined Safety Management System acceptance criteria using structured safety evidence
  • Experience participating in or supporting safety governance boards, management safety reviews, or executive safety acceptance decisions

ADMT is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.
This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security.
This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.
As ADMT, we develop and realize fully autonomous mobility and transportation services. Our mission is to make mobility-and transportation-as-a-service safe, accessible and most attractive for society. For that, we cover the entire ground from strategy and business development, software development and end-2-end integration, fleet operations to next-generation self-driving systems. Being the driver in Volkswagen Group initiative for mobility solutions, we're an integral part of Volkswagen Group's future success.
Brief Role Description
The Safety Management System Senior Engineer for Autonomous Driving is responsible for defining, governing, and continuously improving the organization's Safety Management System (SMS) as an organizational safety framework for autonomous vehicle systems in compliance with applicable regulations and industry standards and alongside the global MOIA organization.
The role ensures that safety risks related to automated driving functions are systematically identified, assessed, mitigated, and monitored throughout the system lifecycle through formal SMS processes including safety policy, safety risk management, safety assurance, and safety promotion.
The SMS Senior Engineer works closely with system, software, hardware, validation, and operations teams to govern how safety is demonstrated and accepted across design, development, testing, and deployment.
This position supports regulatory engagement, safety assurance activities, and the demonstration of safety readiness for autonomous vehicle operation.
This role is focused on system-level safety governance, SMS operation, and safety assurance oversight. It does not own item-level functional safety engineering activities or day-to-day operational incident response.
Possible Tasks within this Role
Safety Management System Development & Governance (40%)
  • Develop, implement, and maintain the Safety Management System for autonomous driving programs
  • Own the definition and operation of SMS governance structures, including safety roles, responsibilities, escalation paths, and safety decision-making forums
  • Ensure SMS alignment with automotive and autonomous driving safety standards and guidance (e.g., ISO 26262, ISO 21448 / SOTIF, ISO 24089, UL 4600, UNECE ADS guidance) as inputs to the SMS, not as standalone compliance activities.
  • Define SMS processes covering safety policy, roles and responsibilities, escalation, and decision-making
  • Define and maintain safety policy, safety objectives, and safety performance indicators (SPIs)]
  • Define governance, processes, and acceptance criteria for safety case development, review, and approval within the Safety Management System
  • Maintain SMS documentation, safety plans, and safety cases at program and system level

Safety Culture & Cross-Functional Collaboration (25%)
  • Promote a strong safety culture within autonomous driving development and operations teams
  • Provide guidance and training on SMS processes, safety risk management, and reporting
  • Collaborate closely with systems engineering, software, AI/ML, validation, quality, and operations teams
  • Support management decision-making with clear safety risk assessments and recommendations

Safety Assurance & Lifecycle Integration (15%)
  • Integrate safety assurance activities across the V-model and system lifecycle
  • Define SMS-level safety acceptance criteria and evidence expectations for lifecycle milestones and release gates]
  • Monitor safety performance through leading and lagging safety indicators
  • Define and govern system-level safety risk assessment methodologies, acceptance criteria, and evidence expectations across the system lifecycle
  • Support safety incident processes, particularly post-incident analyses from an SMS learning and systemic risk perspective]
  • Ensure that system safety cases and VSSA are developed, reviewed, and maintained in alignment with Safety Management System requirements
  • Review systemic corrective and preventive actions (CAPAs) arising from operational incidents, audits, and assessments for effectiveness at the system and organizational level