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Full Time Autonomous Driving Engineer information
See salary details
$59K - $71.5K
8% of jobs
$71.5K - $84K
8% of jobs
$84K - $96.5K
5% of jobs
$97.9K is the 25th percentile. Wages below this are outliers.
$96.5K - $109K
28% of jobs
$109K - $121.5K
16% of jobs
$121.5K - $134K
2% of jobs
$134K - $146.5K
0% of jobs
$146.5K - $159K
1% of jobs
$159K - $171.5K
2% of jobs
$171.5K - $184K
2% of jobs
$185K is the 75th percentile. Wages above this are outliers.
$184K - $196.5K
27% of jobs
$59K
$137.3K
$196.5K
How much do full time autonomous driving engineer jobs pay per year?
What are the key skills and qualifications needed to thrive as a Full Time Autonomous Driving Engineer, and why are they important?
What is the difference between Full Time Autonomous Driving Engineer vs Autonomous Vehicle Software Engineer?
| Aspect | Full Time Autonomous Driving Engineer | Autonomous Vehicle Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Robotics, or Electrical Engineering; experience in autonomous systems | Similar credentials; focus on software development for autonomous systems |
| Work Environment | Research labs, automotive companies, tech firms working on autonomous vehicles | Software development teams, automotive or tech companies, often in collaborative environments |
| Industry Usage | Used broadly in autonomous vehicle development projects | Primarily 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?
What does a Full Time Autonomous Driving Engineer do?
- Temporary Nvidia Autonomous Driving
- Autonomous Vehicle Engineer Salary
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- Full Time Waymo Autonomous Vehicle
- Engineering Consulting Firms
- Freelance Helicopter Flight Engineer
- Entry Level Waymo Autonomous Vehicle
- 200K Engineering
- Senior Waymo Autonomous Vehicle
- Cae Nvh Engineer

Full-time
Posted 15 days ago
Job description
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