ZipRecruiter

Log In

2

Remote Intelligent Systems Engineering Jobs (NOW HIRING)

Shield AI

Principal Fuel Systems Engineer (X-BAT)

Boston, MA · On-site +1

$209K - $313K/yr

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement ...

Shield AI

Principal Fuel Systems Engineer (X-BAT)

Boston, MA · Remote

$209K - $313K/yr

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement ...

Shield AI

Principal Fuel Systems Engineer (X-BAT)

Dallas, TX · On-site +1

$209K - $313K/yr

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement ...

Teradata

Staff Engineer - AI Platform - 220133

San Diego, CA · On-site +1

$169K - $211K/yr

... intelligent systems that go far beyond automation - they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team ...

Vanta

Senior Manager, Systems Engineering

$210K - $247K/yr

Corporate Engineering owns the systems, tooling, and access infrastructure Vanta runs on. From ... Remote workspace, internet, and cellphone stipend * Commuter benefits for team members who report ...

Kapsch TrafficCom

Systems Engineer IV

With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively ... Own cost estimation for Systems Engineering labor and Project Material/BOM, including final review ...

SAIC

Systems Engineer

Hampton, VA · Remote

$80K - $120K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Data Integrity ...

Huzzle

AI Engineer - Remote

You will work closely with product, engineering, and data teams to design intelligent systems ... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ...

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 highly motivated Systems Engineers to join our Systems ...

SAIC

Systems Engineer

Hampton, VA · Remote

$80K - $120K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Data Integrity ...

Sanity

Senior GTM Engineer, Systems Engineering

$107K - $146K/yr

Remote in North America (SF preferred). * Strong full-stack engineer with TypeScript, React ... Systems thinker who can turn operational friction into intuitive tools, reliable workflows, and ...

previous page

Showing results 41-60

All Jobsremote JobsTechnology JobsSoftware JobsSystems Software Engineer JobsRemote Intelligent Systems Engineering Jobs

Remote Intelligent Systems Engineering information

See salary details

$53.5K

$127.2K

$167K

How much do remote intelligent systems engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote intelligent systems engineering in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is remote intelligent systems engineering?

Remote Intelligent Systems Engineering refers to the design, development, and maintenance of intelligent systems—such as AI-driven automation, robotics, or smart devices—while working from a remote location. Professionals in this field use advanced technologies to create systems that can perceive, learn, and make decisions, often collaborating with team members and clients virtually. This role typically requires expertise in artificial intelligence, machine learning, software engineering, and remote collaboration tools. The flexibility of remote work allows engineers to contribute to complex projects from anywhere, making it a popular choice in today's global tech industry.

What are some common challenges faced by professionals in remote intelligent systems engineering, and how can they be addressed?

Professionals in Remote Intelligent Systems Engineering often encounter challenges such as coordinating with distributed teams across different time zones, ensuring secure and reliable remote system operations, and maintaining effective communication during troubleshooting or system updates. To address these issues, engineers typically rely on robust collaboration tools, establish clear communication protocols, and schedule regular virtual meetings. Additionally, staying updated on best practices for cybersecurity and remote monitoring helps ensure smooth operation and rapid response to potential issues.

What are the key skills and qualifications needed to thrive as a remote intelligent systems engineer, and why are they important?

To thrive as a Remote Intelligent Systems Engineer, you need a strong background in systems engineering, programming (such as Python, C++, or Java), and AI/machine learning principles, often supported by a relevant degree in engineering or computer science. Familiarity with tools like MATLAB, TensorFlow, ROS (Robot Operating System), and cloud-based platforms is typically required, along with certifications in AI or systems engineering. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for remote collaboration and project success. These qualifications and skills are crucial for designing, implementing, and maintaining complex intelligent systems while effectively collaborating with distributed teams.

What is the difference between Remote Intelligent Systems Engineering vs Remote Robotics Engineering?

AspectRemote Intelligent Systems EngineeringRemote Robotics Engineering
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related fields; knowledge of AI, machine learning, and systems integrationBachelor's/Master's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentPrimarily software-focused, designing and developing intelligent systems remotelyCombination of software and hardware tasks, often involving remote collaboration on robotic systems
Industry UsageUsed across AI, automation, and software development companiesCommon in manufacturing, automation, and research institutions

Remote Intelligent Systems Engineering focuses on designing and developing software-driven intelligent systems, while Remote Robotics Engineering emphasizes both hardware and software aspects of robotic systems. Both roles require technical expertise and are prevalent in tech and industrial sectors, but they differ mainly in their focus on software versus hardware components.

How much do remote intelligent systems engineers make?

Remote intelligent systems engineers typically earn between $80,000 and $130,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in AI, machine learning, or robotics can command higher salaries, especially with proficiency in programming languages like Python and tools such as TensorFlow or ROS.
More about Remote Intelligent Systems Engineering jobs

What cities are hiring for Remote Intelligent Systems Engineering jobs?

Cities with the most Remote Intelligent Systems Engineering job openings:

What are the most commonly searched types of Intelligent Systems Engineering jobs?

The most popular types of Intelligent Systems Engineering jobs are:

What states have the most Remote Intelligent Systems Engineering jobs?

States with the most job openings for Remote Intelligent Systems Engineering jobs include:

What job categories do people searching Remote Intelligent Systems Engineering jobs look for?

The top searched job categories for Remote Intelligent Systems Engineering jobs are:

Remote Intelligent Systems Engineering jobs near you
Infographic showing various Remote Intelligent Systems Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Principal Fuel Systems Engineer (X-BAT)

Shield AI

San Diego, CA • On-site, Remote

$209K - $313K/yr

Full-time

Re-posted 16 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Shield AI is seeking a Principal Fuel Systems Engineer to lead architecture, development, and validation of fuel systems for advanced AI-powered aircraft. In this role, you’ll own the full lifecycle of fuel system design—from concept through flight testing—while mentoring others and driving technical excellence across our growing air vehicle portfolio.
 
You’ll tackle high-impact challenges: enabling efficient long-endurance flight, optimizing aircraft center of gravity, and developing robust, certifiable systems that perform flawlessly in extreme conditions.
 
On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement may be considered with up to 25% travel.
What you will do in this role:
  • Architect end-to-end fuel systems including storage, transfer, venting, and pressurization for next-gen autonomous aircraft.
  • Lead cross-functional integration between propulsion, structures, avionics, and thermal teams to ensure optimal system performance.
  • Conduct system-level modeling and analysis to predict flow behavior, vapor suppression, slosh dynamics, and thermal effects.
  • Define performance requirements and verification strategies for high-reliability components and assemblies.
  • Lead design reviews, technical trade studies, and risk assessments for critical systems.
  • Oversee supplier selection, qualification, and acceptance testing for pumps, valves, tanks, and sensors.
  • Support and guide ground and flight test campaigns; perform root-cause analysis for system anomalies.
  • Mentor engineers, establish best practices, and develop processes for system integration and testing.
  • Contribute to long-term technology roadmaps, including hybrid-electric and alternative fuel system architectures.
Required qualifications:
  • B.S. or M.S. in Aerospace, Mechanical, or related engineering discipline.
  • 12–15+ years of experience in aircraft fuel systems, aerospace fluids, or propulsion integration.
  • Demonstrated expertise with fuel system design, analysis, and certification for manned or unmanned aircraft.
  • Deep understanding of fluid mechanics, thermodynamics, and CFD principles.
  • Proficiency with analysis and modeling tools (ANSYS Fluent, OpenFOAM, MATLAB/Simulink) and CAD software (NX, CATIA, or SolidWorks).
  • Strong technical leadership and mentoring experience within multidisciplinary teams.
  • Familiarity with FAA and MIL-STD certification requirements and validation testing.
  • U.S. Citizenship required.
  • For remote candidates - ability to travel up to 25%.
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Experience with UAV, fighter, or ISR platform development.
  • Proven success leading complex fuel system programs from concept through flight test.
  • Knowledge of advanced or low-observable fuel system technologies, vapor suppression, and hybrid-electric integration.
  • Active or previous security clearance.
#LI-JM2
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us 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.