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Autonomous Driving Jobs (NOW HIRING)

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$104K - $143K/yr

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will be driving E2E ...

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At NVIDIA, we are seeking exceptional engineers to join our autonomous driving teamto design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass ...

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How much do autonomous driving jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for autonomous driving in the United States is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in autonomous driving roles?

Professionals in autonomous driving often encounter challenges such as integrating complex sensor data, ensuring the reliability of AI algorithms in unpredictable environments, and meeting strict safety and regulatory standards. Collaboration is key, as teams typically work cross-functionally with hardware, software, and quality assurance groups to solve technical issues and validate system performance. Adapting to rapidly evolving technology and maintaining clear communication across disciplines are essential for success in this dynamic field.

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

AspectAutonomous DrivingAutonomous Vehicle Software Engineer
Required CredentialsEngineering degrees, specialized training in AI, robotics, or automotive systemsComputer science, software engineering degrees, programming skills in C++, Python
Work EnvironmentResearch labs, automotive companies, testing facilitiesSoftware development teams, automotive tech companies, simulation environments
Industry UsageDeveloping and testing autonomous vehicle systemsDesigning and coding software for autonomous vehicle functions
Common Search/ComparisonYesYes

Autonomous Driving focuses on the overall development, testing, and deployment of self-driving vehicle systems, often involving hardware integration and real-world testing. Autonomous Vehicle Software Engineers primarily concentrate on coding, software design, and algorithm development for autonomous vehicle functionalities. Both roles require technical expertise, but Autonomous Driving is broader, encompassing system integration, while Autonomous Vehicle Software Engineers specialize in software development within the autonomous vehicle industry.

What are the key skills and qualifications needed to thrive in an Autonomous Driving Engineer role, and why are they important?

To thrive as an Autonomous Driving Engineer, you need a solid background in computer science, robotics, and engineering, often demonstrated by a relevant degree and experience in machine learning or computer vision. Proficiency with programming languages such as Python and C++, as well as familiarity with simulation tools, ROS (Robot Operating System), and sensor integration (e.g., LiDAR, radar), is essential. Strong problem-solving abilities, collaboration skills, and adaptability help you effectively tackle complex technical challenges and work within multidisciplinary teams. These skills ensure the development of safe, reliable, and innovative autonomous vehicle systems that meet rigorous industry standards.

What is autonomous driving?

Autonomous driving refers to the use of technology to enable vehicles to navigate and operate without direct human input. These vehicles use a combination of sensors, cameras, radar, and artificial intelligence to perceive their environment and make driving decisions. The goal is to improve road safety, reduce human error, and increase transportation efficiency. Autonomous driving systems are typically categorized by levels, ranging from driver assistance to fully self-driving vehicles. This field is rapidly evolving, with ongoing research and real-world testing by automotive and technology companies.
More about Autonomous Driving jobs
What cities are hiring for Autonomous Driving jobs? Cities with the most Autonomous Driving job openings:
What states have the most Autonomous Driving jobs? States with the most job openings for Autonomous Driving jobs include:
Infographic showing various Autonomous Driving job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.

Senior Safety Management System (SMS) Lead - Autonomous Driving

Volkswagen AG

Austin, TX โ€ข On-site

Full-time

Posted 25 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

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, continuou...