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Remote Autonomous Systems Engineer Jobs in Pittsburgh, PA

Synopsys

Data Engineer / Architect

Canonsburg, PA · On-site +1

$152K/yr

... Remote Eligible Yes Base Salary Range: $152000 - $228000 Descriptions & Requirements and ... autonomous systems, and advanced semiconductor design. We empower the world's leading technology ...

A.C. Coy

High Voltage Engineer

Pittsburgh, PA · On-site +1

... transmission system application considerations * Review and analyze factory test reports ... Provide remote field support for technical issues before and after energization * Support technical ...

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Remote Autonomous Systems Engineer information

See Pittsburgh, PA salary details

$51.9K

$123.5K

$162.1K

How much do remote autonomous systems engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote autonomous systems engineer in Pittsburgh, PA is $123,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $152,400.00 per year, depending on experience, location, and employer.

What is a remote autonomous systems engineer?

Remote Autonomous Systems Engineers are professionals who design, develop, and maintain autonomous systems—such as drones, robots, or vehicles—while working remotely. They use advanced software, sensors, and algorithms to ensure these systems can operate independently and safely. Their work involves tasks like programming control systems, integrating hardware components, and troubleshooting issues from a remote location. These engineers often collaborate with teams virtually and leverage cloud-based tools to monitor and update autonomous systems deployed in various environments.

What are the key skills and qualifications needed to thrive as a remote autonomous systems engineer?

To thrive as a Remote Autonomous Systems Engineer, you need a strong background in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Experience with simulation tools like ROS (Robot Operating System), MATLAB, and familiarity with machine learning or AI frameworks are typically required, along with certifications in automation or robotics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills and qualities are essential for designing, troubleshooting, and improving autonomous systems while collaborating efficiently within distributed teams.

What are some common challenges faced by remote autonomous systems engineers, and how can they be addressed?

Remote Autonomous Systems Engineers often encounter challenges related to communication and collaboration, as they work with multidisciplinary teams across different locations and time zones. Managing system integration and troubleshooting without on-site access can also pose difficulties, requiring strong documentation and remote diagnostic tools. Staying updated on rapidly evolving technologies in autonomy further demands ongoing learning. To address these challenges, engineers should leverage clear communication channels, utilize collaborative platforms, and participate in continuous training opportunities.

What are popular job titles related to Remote Autonomous Systems Engineer jobs in Pittsburgh, PA?

For Remote Autonomous Systems Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Autonomous Systems Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Autonomous Systems Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Autonomous Systems Engineer jobs?

Cities near Pittsburgh, PA with the most Remote Autonomous Systems Engineer job openings:

Remote Autonomous Systems Engineer jobs near you
Infographic showing various Remote Autonomous Systems Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 9% In-person, and 91% Remote job distribution, with an average salary of $123,502 per year, or $59.4 per hour.

Platform Systems Engineer; Motion Planning and Control

Waabi

Pittsburgh, PA • On-site, Remote

$147K - $291K/yr

Full-time

Re-posted 14 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


You will...
- Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD).
- Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract.
- Create methods and use physical and simulated data to inform and verify principled requirements
Advance VD simulation in AVs.
 
Qualifications:
- Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control.
- Strong physics and control systems knowledge.
- Knowledge of Systems Engineering and Verification and Validation (V&V) best practices.
- Knowledge of functional safety standards (i.e. ISO 26262).
- Comprehensive coding skills in Python, or other common programming languages.
- Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors).
- Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system.
- Experience in VD simulation (use) and VD tools development (build).
 
Bonus:
- Applied and proven experience in building end to end motion planning and control systems systems.
- Commercial trucking actuator system and truck dynamics and control.
- Applied and proven experience of optimal control systems.
- A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.
- Coding in Rust and using build and test automation tools.
 
The US yearly salary range for this role is: $147,932  - $291,612 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada 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 and Canada 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.