Autonomous Driving Specialist
Snapshot
Autonomous driving specialists design and oversee the operation of an autonomous vehicle. They collect data on systems performance, conduct vehicle testing and analyse test data. Autonomous driving specialists are aware of different technologies employed in self-driving cars, automotive systems and automotive technologies.
As an autonomous driving specialist, you’ll be at the forefront of a rapidly evolving field. Your days will involve analyzing data from vehicle systems, conducting thorough testing procedures, and identifying areas for improvement in autonomous vehicle performance. You’ll need a strong understanding of automotive technologies and the various systems that contribute to self-driving capabilities, ensuring these systems operate reliably and safely.
- • Collect and analyze data on autonomous vehicle system performance.
- • Design and execute vehicle testing plans, including simulations and real-world trials.
- • Identify and troubleshoot issues related to autonomous driving systems.
Where this occupation is in demand
Reported labour shortages and surpluses, by year. Published for occupation groups, not for individual job titles.
Deeper colour: reported the same way in more consecutive years.
Figures cover Science and engineering professionals — 274 jobs including this one.
In shortage: Belgium, Bulgaria, Denmark, Ireland and 4 more.
Longest-running shortage: Ireland, 4 years.
Select a place on the map to see its figures.
About this source›
Source: ELA/EURES labour shortages and surpluses. Readings are published at occupation-group level, and cover Europe. Editions differ in annex layout and country coverage, so a change between years does not always mean the labour market changed. Countries in grey were not reported, which is not the same as being in balance.
What these words mean
The four things this section reports
- Reported demand
- Whether employers report needing people in this job — a judgement published by a national or EU body, not a count.
- Where it is heading
- Which way employment in this job is expected to move over the coming years, from an official projection.
- Openings
- Roughly how many openings arise — from growth and from people leaving the job.
- Typical pay
- What people in this job typically earn where the source publishes it. Blank does not mean unpaid; it means nobody publishes it for that place.
A measure is left out when nobody publishes it for that place, rather than shown as zero.
Which way the market leans for you
- In your favour
- More openings than people looking — employers are competing for candidates.
- Balanced
- Openings and candidates are roughly matched.
- Competitive
- More people looking than openings — expect to compete.
- Mixed evidence
- Sources disagree, or the same occupation group is short in one part and oversupplied in another.
Every source resolves to one of these four, so there is a single vocabulary to learn. What differs is the evidence behind it, which is printed underneath each verdict — a measured ratio of openings to jobseekers, or an assessment published by a national body.
How this job compares with other jobs in the same country
- Strong
- Among the strongest in that country
- Good
- Stronger than most jobs in that country
- Mixed
- About typical for that country
- Weak
- Weaker than most jobs in that country
This is a rank within one country, not a score you can carry across borders — the registers behind two countries count different people, so the same number means different things in each. It is also why a job can be among the strongest in a country and still show as Competitive: it leads the field in a market that is crowded overall.
Where these come from
Every figure is published by a national statistics office, a public employment service or an EU body, and each card names its source and the period it covers. Some places are counted monthly, others assessed once or twice a year, so two places on the same map can be describing different moments — the date is always shown.
None of this predicts one person's chances. It describes a market.
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Could autonomous driving specialist fit you?
Answer three quick questions. This is not a full assessment — it is a teaser to help you decide whether to compare your profile.
Do you enjoy tasks that require Analytical Thinking?
Do you enjoy tasks that require Attention to Detail?
Do you enjoy tasks that require Persistence?
Future Outlook for autonomous driving specialist
The outlook for autonomous driving specialist reflects a balanced mix of automation exposure and durable, human-led work.
How are these scores calculated?
The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.
How could autonomous driving specialist change as AI adoption grows?
This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.
Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.
This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.
Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.
How AI may change this role
Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.
What still depends on people
- test sensors
- manage product testing
- develop test procedures
Where AI may become a co-pilot
- analyse test data
- report the results of treatment
- assess financial viability
Tasks most exposed to automation
- draft design specifications
Vital Signs & AI Vectors
AI Exposure Vectors
0-100%Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks
Exposure to content generation, creative augmentation, and large language model tools
Exposure to physical automation, robotics, and sensor-driven task displacement
Exposure to workflow automation, decision-support software, and process digitisation
Technical Details
NexFuture v3.0 estimates automation exposure natively from ESCO essential-skill groups, weighted by skill mass and calibrated against expert anchors. Scores are probabilistic estimates, not guarantees. See the NexFuture Methodology White Paper for full details.
Measures automation exposure. It does not measure pay, demand, or how many jobs exist near you.
What people in this role usually do
Digital Technology
A typical day as an autonomous driving specialist
09 09:00 · Morning control the performance of the vehicle
10 10:30 · Mid-morning design sensors
12 12:00 · Midday drive motor vehicle prototypes
14 14:00 · Afternoon manage ICT data architecture
15 15:30 · Late afternoon model sensor
17 17:00 · Wrap-up define software architecture
Task order is illustrative. Individual days vary.
What you need to do this work
The skills, knowledge and tools this role calls for — and the traits and rewards that come with it.
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design sensors
Design and develop different types of sensors according to specifications, such as vibration sensors, heat sensors, optical sensors, humidity sensors, and electric current sensors.
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model sensor
Model and simulate sensors, products using sensors, and sensor components using technical design software. This way the viability of the product can be assessed and the physical parameters can be examined before the actual building of the product.
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adjust engineering designs
Adjust designs of products or parts of products so that they meet requirements.
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define software architecture
Create and document the structure of software products including components, coupling and interfaces. Ensure feasibility, functionality and compatibility with existing platforms.
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manage ICT data architecture
Oversee regulations and use ICT techniques to define the information systems architecture and to control data gathering, storing, consolidation, arrangement and usage in an organisation.
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control the performance of the vehicle
Understand and anticipate the performance and behaviour of a vehicle. Comprehend concepts such as lateral stability, acceleration, and braking distance.
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drive motor vehicle prototypes
Drive experimental or prototypes of motor vehicles to acquire information on performance.
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approve engineering design
Give consent to the finished engineering design to go over to the actual manufacturing and assembly of the product.
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perform scientific research
Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.
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use technical drawing software
Create technical designs and technical drawings using specialised software.
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design integrated circuits
Design and draft integrated circuits (IC) or semiconductors, such as microchips, used in electronic products. Integrate all necessary components, such as diodes, transistors, and resistors. Pay attention to the design of input signals, output signals, and power availability.
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test sensors
Test sensors using appropriate equipment. Gather and analyse data. Monitor and evaluate system performance and take action if needed.
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analyse test data
Interpret and analyse data collected during testing in order to formulate conclusions, new insights or solutions.
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draft design specifications
List the design specifications such as materials and parts to be used and a cost estimate.
advanced driver assistant systems
Vehicle-based intelligent safety systems which could improve road safety in terms of crash avoidance, crash severity mitigation and protection, and automatic post-crash notification of collision. Integrated in vehicle or infrastructure-based systems which contribute to some or all of these crash phases. More generally, some driver support systems are intended to improve safety whereas others are convenience functions.
digital camera sensors
Types of sensors used in digital cameras, such as charged coupled devices (CCD) and complementary metal oxide semiconductor sensors (CMOS).
embedded systems
The computer systems and components with a specialised and autonomous function within a larger system or machine such as embedded systems software architectures, embedded peripherals, design principles and development tools.
hardware architectures
The designs laying out the physical hardware components and their interconnections.
ICT architectural frameworks
The set of requirements that describe an information system's architecture.
information architecture
The methods through which information is generated, structured, stored, maintained, linked, exchanged and used.
principles of artificial intelligence
The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories.
road transport legislation
The regulations at regional, national, and European level on safety and environmental requirements for road transport operations.
signal processing
The algorithms, applications and implementations that deal with the processing and transferring of information through analog or digital frequencies.
types of tyres
Different types of rubber coverings and inflated tubes used for specific vehicles and weather conditions such as winter and summer tyres, performance tyres, truck or tractor tyres.
vehicle-to-everything technologies
Technology that allows vehicles to communicate with other vehicles and traffic system infrastructure around them. This technology is composed of two elements: vehicle-to-vehicle (V2V) which allows vehicles to communicate with one another, and vehicle to infrastructure (V2I) which allows vehicles to communicate with external systems such as streetlights, buildings and cyclists or pedestrians.
See whether this role fits your Career DNA
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Scan to continue on mobilePath to become an autonomous driving specialist
What it typically takes to qualify: education level, where it is a regulated profession, and where to study.
Bachelor's or equivalent level
Real programmes leading to this occupation, by country.
Postgraduate Diploma in Engineering in Connected and Autonomous Vehicles
Master of Engineering Autonomous Vehicles
Postgraduate Diploma in Engineering Autonomous Vehicles
Master of Engineering in Connected and Autonomous Vehicles
Growth Pathways & Similar Roles
Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.
Where does autonomous driving specialist fit?
Similarity scores based on skill overlap from ESCO data.
Frequently asked questions
- What kind of background is typically needed to become an autonomous driving specialist?
- A strong foundation in engineering (e.g., mechanical, electrical, computer) or computer science is common. Experience with robotics, sensor technology, data analysis, and programming (particularly Python or C++) is highly valuable. Familiarity with automotive systems is a significant advantage.
- How does this role differ from being a software engineer working on autonomous vehicles?
- While there's overlap, an autonomous driving specialist often has a broader focus. They are involved in the entire testing and validation process, not just software development. They analyze system-level performance, design testing scenarios, and interpret results to improve overall vehicle autonomy.
- What are the key skills needed to succeed in this role, beyond technical knowledge?
- Strong analytical and problem-solving abilities are essential. You’ll also need excellent attention to detail, the ability to work both independently and as part of a team, and a commitment to safety and rigorous testing practices. The ability to communicate technical findings clearly is also crucial.
- Is there a shortage of Autonomous Driving Specialist in Europe?
- Yes. In the 2025 ELA/EURES edition, a shortage was reported in 8 of the 12 European countries that assessed this occupation group: Belgium, Bulgaria, Denmark, Spain and 4 more. Ireland has reported one for 4 consecutive years. These assessments are published per occupation group rather than per job title.
- How much does Autonomous Driving Specialist pay in the United States?
- $102,320 a year at the median, as of 2025-05. State medians run from $61,510 to $157,710. Source: US Bureau of Labor Statistics. This is a United States figure and not a projection for Europe.
Sources: ESCO O*NET ELA/EURES Cedefop BLS Data updated September 20, 2026 About our data