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Remote Autonomous Driving Engineer Jobs in New York

AeroVect

Senior System Safety Engineer

New York, NY · On-site +1

... and autonomous driving. Our customers include some of the world's largest airlines and ground ... Working under the close guidance and supervision of the Head of Safety, the Senior Safety Engineer ...

New

AeroVect

Staff Cloud Software Engineer

New York, NY · On-site +1

$65.75 - $85.25/hr

... and autonomous driving. Our customers include some of the world's largest airlines and ground ... remote backends. * Significant experience building and maintaining CI/CD pipelines using GitHub ...

AeroVect

Staff Product Manager, AGSE Service

New York, NY · On-site +1

$162K - $202K/yr

... autonomous driving capabilities, fleet operations, and evaluation infrastructure * Drive clarity on what the company is building, why, and by when to create alignment across commercial, engineering ...

Solera

Account Executive

Manhattan, NY · On-site +1

Our technology connects buyers and sellers, streamlining inventory visibility and driving ... Self-driven, organized, and able to operate effectively in a remote, autonomous environment. Why ...

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it ... Enough code to be autonomous: Python or TypeScript, APIs, webhooks, a database. Nothing should be ...

New

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it ... Enough code to be autonomous: Python or TypeScript, APIs, webhooks, a database. Nothing should be ...

New

Soda Data

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $130K/yr

We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it ... Enough code to be autonomous: Python or TypeScript, APIs, webhooks, a database. Nothing should be ...

New

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Remote Autonomous Driving Engineer information

What are the unique challenges of collaborating with global teams as a Remote Autonomous Driving Engineer?

As a Remote Autonomous Driving Engineer, you'll frequently collaborate with cross-functional teams spanning different time zones and regions. This can present challenges such as coordinating meetings, managing asynchronous communication, and ensuring clear documentation of technical requirements. To succeed, it's essential to develop strong written communication skills and utilize collaborative tools for version control, code review, and project management. Building relationships with colleagues remotely also requires proactive engagement and regular check-ins to maintain alignment on project goals.

What is a Remote Autonomous Driving Engineer?

A Remote Autonomous Driving Engineer is a professional who designs, develops, tests, and implements software and systems that enable vehicles to operate without direct human control. These engineers often work remotely, using cloud-based tools and simulations to collaborate with teams and test autonomous driving algorithms. Their responsibilities may include sensor integration, perception modeling, path planning, and ensuring safety and compliance with industry standards. They play a key role in advancing self-driving technology by working on cutting-edge machine learning, computer vision, and robotics challenges.

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

AspectRemote Autonomous Driving EngineerRemote Autonomous Vehicle Software Developer
Required CredentialsEngineering degree, specialized in autonomous systems, certifications in robotics or AISoftware development background, experience with autonomous vehicle software, relevant certifications
Work EnvironmentCollaborates with hardware teams, field testing, simulation environmentsFocuses on coding, software testing, simulation, and integration
Industry UsageDesigns and tests autonomous driving systems, sensor integrationDevelops software components for autonomous vehicles, algorithms, and control systems

While both roles involve autonomous vehicle technology, the Remote Autonomous Driving Engineer focuses on system design, testing, and integration of autonomous driving systems, often working closely with hardware. The Remote Autonomous Vehicle Software Developer primarily concentrates on coding, software development, and simulation tasks within autonomous vehicle software platforms.

What are the key skills and qualifications needed to thrive as a Remote Autonomous Driving Engineer, and why are they important?

To thrive as a Remote Autonomous Driving Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages like Python or C++, often backed by a degree in engineering or computer science. Experience with simulation tools (e.g., ROS, CARLA), real-time data processing, and knowledge of automotive safety standards or certifications such as ISO 26262 are typically required. Excellent problem-solving skills, remote communication abilities, and adaptability are crucial soft skills for collaborating with distributed teams and addressing complex challenges. These competencies ensure the safe and efficient development of reliable autonomous driving systems in a remote work environment.
What are the most commonly searched types of Autonomous Driving Engineer jobs in New York? The most popular types of Autonomous Driving Engineer jobs in New York are:
What are popular job titles related to Remote Autonomous Driving Engineer jobs in New York? For Remote Autonomous Driving Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Autonomous Driving Engineer jobs in New York look for? The top searched job categories for Remote Autonomous Driving Engineer jobs in New York are:
What cities in New York are hiring for Remote Autonomous Driving Engineer jobs? Cities in New York with the most Remote Autonomous Driving Engineer job openings:
Remote Autonomous Driving Engineer jobs near you
Infographic showing various Remote Autonomous Driving Engineer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior System Safety Engineer

AeroVect

New York, NY • On-site, Remote

Full-time

Posted yesterday

New

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.
Working under the close guidance and supervision of the Head of Safety, the Senior Safety Engineer will execute core safety lifecycle tasks across AeroVect's software and hardware platforms:
  • System Safety Analysis: Perform hazard identification and risk assessments (HARA, FMEA, FTA, STPA) on the autonomous system architecture and vehicle operation concepts.
  • Requirements Derivation: Derive, specify, and trace functional and technical safety requirements (FSRs / TSRs) for both supervised autonomy (safety driver present) and SDO unsupervised autonomy (driverless).
  • Cross-Functional Execution: Collaborate directly with systems, software, robotics, hardware, and test teams to ensure safety requirements are integrated, testable, and verified.
  • Safety Case Support: Assist in building safety case artifacts and verification evidence required for airport commercial deployment.

You Will
  • Perform Quantitative Hardware Safety Analyses, including FMEDA, hardware diagnostic coverage analysis, and Probabilistic Metric for random Hardware Failures (PMHF).
  • Calculate hardware component and system failure rates using standard methodologies (SN 29500, IEC 61709, MIL-HDBK-217F, Telcordia SR-332).
  • Evaluate drive-by-wire compute hardware, sensor suites (Lidar, Radar, Camera), actuator interfaces, and power distribution systems for single-point and latent faults.
  • Derive Hardware Safety Requirements (HSRs) for redundant architectures and fail-operational compute nodes.
You Have
  • 5+ years of hands-on safety engineering experience in autonomous vehicles, automotive (ISO 26262), aerospace (DO-178C/DO-254), or industrial safety (IEC 61508).
  • 5+ years in hardware safety engineering, EE reliability, or failure rate modeling for automotive, aerospace, or industrial robotics.
  • Prior background working with autonomous driving systems or mobile robotics.
  • Proven ability to work under the technical mentorship of a Principal Safety Engineer in a high-velocity agile engineering team.
  • B.S. or M.S. in Computer Science, Electrical Engineering, Systems Engineering, Robotics, or a related discipline.
  • Proven mastery of FIT rate modeling, component failure rate calculation methods (SN 29500, IEC 61709, MIL-HDBK-217), and FMEDA workflows.
  • ISO 26262-5 Mastery: Deep knowledge of hardware architectural metrics (SPFM, LFM) and hardware diagnostic strategies.

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