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Remote Intelligent Transportation Systems Jobs in Spring Valley, CA

IQVIA

Senior Data Team Lead (Remote)

San Diego, CA · Remote

$86K - $217K/yr

Expertise with Medidata Rave, Oracle InForm, or similar EDC systems. * Strong understanding of GCP ... We create intelligent connections to accelerate the development and commercialization of innovative ...

IQVIA

Senior Data Team Lead (Remote)

San Diego, CA · Remote

$86K - $217K/yr

Expertise with Medidata Rave, Oracle InForm, or similar EDC systems. * Strong understanding of GCP ... We create intelligent connections to accelerate the development and commercialization of innovative ...

Kitu Systems, Inc.

Customer Engineer

San Diego, CA · On-site +1

... intelligent energy network of the future. About the Role Kitu Systems is seeking a dedicated ... Remote flexible * Competitive salary + equity * Growth opportunities * Generous PTO, medical ...

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Remote Intelligent Transportation Systems information

See Spring Valley, CA salary details

$11

$28

$62

How much do remote intelligent transportation systems jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for remote intelligent transportation systems in Spring Valley, CA is $28.89, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $31.97 per hour, depending on experience, location, and employer.

What are Remote Intelligent Transportation Systems?

Remote Intelligent Transportation Systems (ITS) refer to the use of advanced technologies, such as sensors, cameras, data analytics, and remote communications, to monitor, manage, and optimize transportation networks from a distance. These systems are designed to improve traffic flow, enhance safety, and reduce congestion by providing real-time information and automated responses to changing road conditions. Remote ITS professionals often work with software and hardware to collect and analyze transportation data, support decision-making, and coordinate responses to incidents or emergencies. The role typically allows for remote work, leveraging cloud-based platforms and remote connectivity to manage transportation infrastructure efficiently.

What is the difference between Remote Intelligent Transportation Systems vs Remote Traffic Data Analyst?

AspectRemote Intelligent Transportation SystemsRemote Traffic Data Analyst
Required CredentialsBachelor's in transportation, engineering, or related field; certifications in ITS or traffic managementBachelor's in data analysis, statistics, or transportation; certifications in data analysis tools
Work EnvironmentRemote roles in transportation agencies, tech firms, or consulting companiesRemote positions in government agencies, consulting firms, or transportation companies
Industry UsageDesign, implement, and manage intelligent transportation systemsAnalyze traffic data to inform transportation planning and operations
Comparison FocusSystem integration and management of ITS technologiesData analysis and reporting for traffic patterns

Remote Intelligent Transportation Systems professionals focus on managing and implementing transportation technologies, while Remote Traffic Data Analysts analyze traffic data to support decision-making. Both roles often work remotely within transportation sectors but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Remote Intelligent Transportation Systems (ITS) Specialist, and why are they important?

To thrive as a Remote Intelligent Transportation Systems (ITS) Specialist, you need a solid background in transportation engineering, data analysis, and systems integration, typically supported by a relevant engineering degree or ITS certification. Familiarity with ITS software platforms, traffic management systems, and remote monitoring tools is essential. Strong problem-solving, communication, and collaboration skills are crucial for interfacing with stakeholders and responding to real-time transportation challenges. These capabilities ensure efficient, safe, and innovative management of transportation networks in a rapidly evolving technological landscape.

How does working in a Remote Intelligent Transportation Systems (ITS) role typically involve collaboration with other departments or external partners?

In a Remote Intelligent Transportation Systems (ITS) role, collaboration is integral to success. You'll often work closely with traffic engineers, IT specialists, and city planners to design and maintain transportation networks. Additionally, coordination with external vendors, government agencies, and sometimes emergency services is common to ensure seamless data integration and system interoperability. Effective communication and project management skills are essential, as your insights may directly influence public safety and infrastructure development.
What cities near Spring Valley, CA are hiring for Remote Intelligent Transportation Systems jobs? Cities near Spring Valley, CA with the most Remote Intelligent Transportation Systems job openings:
Remote Intelligent Transportation Systems jobs near you
Infographic showing various Remote Intelligent Transportation Systems job openings in Spring Valley, CA as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $60,097 per year, or $28.9 per hour.
Principal Fuel Systems Engineer (X-BAT)

Principal Fuel Systems Engineer (X-BAT)

Shield AI

San Diego, CA • On-site, Remote

$209K - $313K/yr

Full-time

Posted 24 days ago

Job description

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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
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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.
 
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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.