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Remote Autonomous Systems Engineer Jobs in Pennsylvania

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 ...

The Pennsylvania State University

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. POSITION SPECIFICS We are searching for an experienced Systems Test Engineer to join our Systems ...

Motional

Director, Prediction and ML Planning

Pittsburgh, PA · On-site +1

$288K - $396K/yr

Motional is a public transit and autonomous vehicle pioneer, developing Level 4 driverless vehicles ... Partner closely with Perception, Infrastructure and Systems Engineering to ensure the Large Driving ...

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 ...

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Remote Autonomous Systems Engineer information

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 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 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 the most commonly searched types of Autonomous Systems Engineer jobs in Pennsylvania? The most popular types of Autonomous Systems Engineer jobs in Pennsylvania are:
What are popular job titles related to Remote Autonomous Systems Engineer jobs in Pennsylvania? For Remote Autonomous Systems Engineer jobs in Pennsylvania, the most frequently searched job titles are:
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Remote Autonomous Systems Engineer jobs near you

Platform Verification Engineer - Embedded Systems

Waabi

Pittsburgh, PA • On-site, Remote

$133K - $222K/yr

Full-time

Medical, Dental, Vision, PTO

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


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.
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