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Autonomous Driving Jobs in New York (NOW HIRING)

Senior Systems Engineer

New York, NY ยท On-site +1

$114K - $156K/yr

We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers.

We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers.

Staff Product Manager, AGSE Service

New York, NY ยท On-site +1

$162K - $202K/yr

We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers.

Chief of Staff

New York, NY ยท On-site

$160K - $200K/yr

We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers.

EHS Manager, Americas Subregional

New York, NY ยท Hybrid

$90K - $123K/yr

The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety ...

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

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Autonomous Driving information

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How much do autonomous driving jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for autonomous driving in New York is $23.38, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $23.65 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.

Which car companies offer autonomous driving?

Several major car manufacturers offer autonomous driving features, including Tesla, General Motors (with its Super Cruise system), Ford, BMW, Mercedes-Benz, and Volvo. These companies develop and deploy varying levels of driver-assistance technologies, often requiring specialized skills in software, sensors, and safety standards for autonomous vehicle development.

What are popular job titles related to Autonomous Driving jobs in New York?

For Autonomous Driving jobs in New York, the most frequently searched job titles are:

What job categories do people searching Autonomous Driving jobs in New York look for?

The top searched job categories for Autonomous Driving jobs in New York are:

What cities in New York are hiring for Autonomous Driving jobs?

Cities in New York with the most Autonomous Driving job openings:

Infographic showing various Autonomous Driving job openings in New York as of August 2026, with employment types broken down into 70% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $48,640 per year, or $23.4 per hour.

Senior Systems Engineer

AeroVect

New York, NY โ€ข On-site, Remote

$114K - $156K/yr

Full-time

Posted 8 days ago


Job description

Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit www.aerovect.com.
You Will
  • Own the design, analysis, and verification & validation of assigned subsystems within our autonomous vehicle system architecture.
  • Collaborate with cross-functional teams to develop and deploy autonomous driving systems.
  • Define and track KPIs for your areas to support data-driven engineering and system performance.
  • Build data collection and analysis pipelines that support verification & validation processes.
  • Author and maintain requirements documentation, traceability, and system architecture artifacts.
  • Define system behaviors for critical safety scenarios and contribute to robust, well-reasoned designs.
  • Surface risks early and help coordinate solutions and mitigations with the teams involved.
  • Mentor junior engineers and contribute to team engineering practices.
  • Be open to travel up to 25%.
You Have
  • Bachelor's degree in Computer Science, Engineering, Mechatronics, Aerospace, or a related field (or equivalent experience).
  • 4+ years of experience working on autonomous systems or safety-critical systems.
  • Hands-on experience with systems engineering (e.g., V Model, requirements documentation, traceability, verification & validation).
  • Basic proficiency in Python and SQL.
  • Experience contributing to interdisciplinary teams developing and deploying robotic systems or autonomous vehicles with safety-critical components.
  • Exposure to functional safety and SOTIF concepts.
  • Strong ability to communicate technical issues and solutions clearly to both engineering and non-engineering audiences.
  • Hands-on approach with a willingness to engage deeply and enjoy the work.
We Prefer
  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field.
  • Experience with requirements management tools such as DOORS, Jama, Flow, Polarion, or Enterprise Architect.
  • Working knowledge of safety standards such as ISO 26262, ISO 21448, UL 4600, IEC 61508, or ISO 3691.