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Remote Autonomous Driving Engineer Jobs in Pennsylvania

Everforth, Cybercoders

Senior AI/ML Engineer

Pittsburgh, PA · Remote

$101K - $139K/yr

Remote (MUST BE LOCATED IN CT/ET) Primary stack: Python, Kotlin, TypeScript, AWS AI focus: LLMs ... Hands-on experience orchestrating agents (multi-step reasoning, tool use, autonomous action with ...

New

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... methods, statistics, autonomy algorithms, and/or computational physics * Programming for ...

Eaton

Application & System Reliability Engineer

PA · On-site +1

$97K - $123K/yr

This is a remote position where candidates must reside within the United States to be considered ... driving customer-focused reliability and quality improvements • Facilitate technical ...

Carnegie Mellon University

PLC Engineer

Pittsburgh, PA · On-site +1

Provide on-site and remote support for system commissioning and upgrades. Who you are: * You have a ... autonomously with minimal supervision. * You have a willingness to travel (25%) outside of your ...

Cmu

PLC Engineer

Pittsburgh, PA · On-site +1

Provide on-site and remote support for system commissioning and upgrades. Who you are: * You have a ... autonomously with minimal supervision. * You have a willingness to travel (25%) outside of your ...

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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 Pennsylvania? The most popular types of Autonomous Driving Engineer jobs in Pennsylvania are:
What are popular job titles related to Remote Autonomous Driving Engineer jobs in Pennsylvania? For Remote Autonomous Driving Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Autonomous Driving Engineer jobs in Pennsylvania look for? The top searched job categories for Remote Autonomous Driving Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Autonomous Driving Engineer jobs? Cities in Pennsylvania 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 Pennsylvania as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Platform Verification Engineer - Embedded Systems

Waabi

Pittsburgh, PA • On-site, Remote

$133K - $222K/yr

Full-time

Re-posted 18 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai


A strong focus will be on: 
- Creating verification plans for complex embedded systems based on requirements.
- Developing and maintaining test infrastructure including Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) tooling.
Automated test execution and reporting 

You will…
- Act as the central point of contact for verification of embedded platform components (including embedded compute, power management, application specific ECUs, actuators) against system requirements.
- Play a leading role in defining embedded test methodologies at Waabi.
- Design and document tests to verify full system functionality and  performance in line with company milestones. 
- Implement tools and methodologies to streamline and automate the Waabi platform verification processes.
- Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system.
- Bring an in-depth understanding of sensors, compute and actuators used in self-driving systems.

Qualifications:
- Bachelors in an engineering discipline (MS/PhD preferred) with 3+ years of experience in automotive, robotics, or a related industry.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
- Proven experience in systems engineering, verification and validation (V&V), and working with requirements and metrics.
- Knowledge of the typical autonomous vehicle stack.
- Deep experience with HIL environments and production-grade embedded systems testing.
- Experience with executing complex test campaigns.
- Experience with functional safety, i.e. ISO 26262.
- Strong fundamentals in mathematics, engineering and physics.
- Excellent data analysis skills with modern tools such as Python or Matlab.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Bonus/nice to have:
- A working knowledge of vehicle systems.
- Experience developing and launching products in the autonomous vehicle or robotics industries.
- Proficiency with data mining, mathematics, and statistical analysis.

The US yearly salary range for this role is: $133,650 - $222,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits that include Medical, Vision and Dental coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.