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Autonomous Vehicle Engineer Jobs

Engineers who design, develop, and deploy the systems that enable vehicles to navigate and operate autonomously. A critical role in the future of transportation and logistics.

Open roles
2
Hiring companies
1
View 2 live roles → Get an alert

Autonomous Vehicle Engineers are at the forefront of revolutionising how we move people and goods. These specialists work on cutting-edge technologies, including sensor integration, machine learning, and control systems, to create vehicles that can operate safely and efficiently without human intervention. Key employers in this field include automotive manufacturers, tech giants, and innovative startups, all of which are pushing the boundaries of what autonomous vehicles can achieve.

What the role does

Inside the role of an Autonomous Vehicle Engineer

A typical week for an Autonomous Vehicle Engineer is a mix of hands-on development, testing, and collaboration with cross-functional teams.

  1. 01
    Design and optimise sensor systems for data collection.
  2. 02
    Develop and test algorithms for perception, decision-making, and control.
  3. 03
    Collaborate with hardware and software teams to integrate systems.
  4. 04
    Analyse test data and refine system performance.
  5. 05
    Participate in code reviews and contribute to documentation.
  6. 06
    Attend project meetings to align on milestones and deliverables.
Skills & tools

What hiring managers ask for

% of 2 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

C/C++
100%
Python
100%
Bash
100%
Embedded Systems
100%
Real-Time Operating Systems
100%
ADAS Sensor Sets
100%
Linux
100%
QNX
100%
CI/CD
100%
CAN
100%
Flexray
100%
Ethernet
100%
Career ladder

From Junior to Principal

A typical UK progression for autonomous vehicle engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Autonomous Vehicle Engineer

    0–2 yrs

    Assist in the development and testing of autonomous vehicle systems, focusing on specific components or subsystems.

  2. Level 2

    Autonomous Vehicle Engineer

    2–5 yrs

    Take ownership of key subsystems, lead small projects, and contribute to the overall design and integration of autonomous systems.

  3. Level 3

    Senior Autonomous Vehicle Engineer

    5–8 yrs

    Lead major projects, mentor junior engineers, and drive innovation in sensor integration, machine learning, and control systems.

  4. Level 4

    Principal Autonomous Vehicle Engineer

    8+ yrs

    Oversee the development of entire autonomous vehicle systems, set strategic direction, and collaborate with senior leadership to drive the company's vision.

Pathway

How to become a Autonomous Vehicle Engineer

There's no single route, but most people follow some version of these steps.

  1. 1

    Foundational Skills

    Gain a strong foundation in robotics, computer science, and electrical engineering. Focus on relevant coursework and projects.

  2. 2

    Internship or Entry-Level Role

    Secure an internship or entry-level position in a robotics or automotive company to gain practical experience.

  3. 3

    Specialise in a Subfield

    Choose a specific area of autonomous vehicle technology, such as perception, control systems, or machine learning, and deepen your expertise.

  4. 4

    Lead Projects

    Take on leadership roles in projects, managing teams and driving the development of autonomous vehicle systems.

  5. 5

    Strategic Leadership

    Advance to a senior or principal role, where you will set the strategic direction for autonomous vehicle development and mentor the next generation of engineers.

Live jobs

2 live roles

NVIDIA logo

System Software Integration Engineer - Autonomous Vehicles

As a Systems/Software Integration Engineer, you will integrate and optimize ADAS software for automotive applications, collaborate with global teams, and ensure the seamless transition from prototypes to mass production. Your role involves deep technical work with embedded systems, C/C++, and real-time operating systems, as well as travel to customer sites for on-site support.

NVIDIA Germany
On-site Permanent
NVIDIA logo

System Software Integration Engineer - Autonomous Vehicles

As a Systems/Software Integration Engineer, you will integrate and optimize ADAS software components for automotive applications, maintain automation pipelines, and collaborate with global engineering teams. You will also diagnose and refine the product experience, ensuring the seamless transition from prototype to mass production.

NVIDIA
Hybrid Permanent
FAQs

Common questions

  • A degree in robotics, computer science, electrical engineering, or a related field is typically required. Relevant experience and a strong portfolio of projects are also highly valued.

  • Key skills include expertise in sensor integration, machine learning, control systems, and software development. Strong problem-solving abilities and a collaborative mindset are also essential.

  • Working hours can vary, but many engineers work standard office hours with occasional overtime, especially during critical project phases or testing periods.

  • Career progression typically starts with entry-level roles, moves through senior and lead positions, and culminates in principal or strategic leadership roles. Each step involves increasing responsibility and impact.

  • Salaries for Autonomous Vehicle Engineers can vary widely based on experience, location, and company size. For more detailed salary information, please refer to the salary section on this page.

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