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Intelligent Systems Engineering Jobs (NOW HIRING)

Shield AI

Staff Engineer, Systems (R4625)

San Diego, CA · On-site

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

MX1

Director Systems Engineering

Chicago, IL · On-site

Director, Systems Engineering, Commercial Aviation Engineering ROLE DESCRIPTION SUMMARY SES is ... and intelligent connectivity to commercial airlines worldwide. PRIMARY RESPONSIBILITIES / KEY ...

SES

Director Systems Engineering

Chicago, IL

Director, Systems Engineering, Commercial Aviation Engineering ROLE DESCRIPTION SUMMARY SES is ... and intelligent connectivity to commercial airlines worldwide. PRIMARY RESPONSIBILITIES / KEY ...

Shield AI

Staff Engineer, Systems (R4625)

San Diego, CA · On-site

$141K - $212K/yr

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

Shield AI

Staff Engineer, Systems (R4625)

San Diego, CA · On-site

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

SES

Director Systems Engineering

Chicago, IL · On-site

Director, Systems Engineering, Commercial Aviation Engineering ROLE DESCRIPTION SUMMARY SES is ... and intelligent connectivity to commercial airlines worldwide. PRIMARY RESPONSIBILITIES / KEY ...

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Intelligent Systems Engineering information

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$60.5K

$142.1K

$196K

How much do intelligent systems engineering jobs pay per year?

As of Jul 9, 2026, the average yearly pay for intelligent systems engineering in the United States is $142,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What do intelligent systems engineers do?

Intelligent systems engineers design, develop, and implement software and hardware solutions that enable machines to perform tasks requiring human intelligence, such as perception, decision-making, and learning. They work with artificial intelligence, machine learning, robotics, and data analysis tools to create autonomous systems and improve existing technologies. Strong programming skills and knowledge of algorithms are essential in this role.

What is an intelligent systems engineering salary?

The salary for an intelligent systems engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals with specialized skills in AI, machine learning, and robotics tend to earn higher salaries, especially in tech hubs or industries with high demand for automation and intelligent solutions.

What is an Intelligent Systems Engineering job?

An Intelligent Systems Engineering job involves designing, developing, and optimizing smart systems that integrate AI, machine learning, and advanced computing. Professionals in this field work on applications such as autonomous systems, robotics, cybersecurity, and biomedical devices. They use data-driven approaches and computational models to enhance decision-making and automation. These roles exist in industries like healthcare, automotive, aerospace, and IoT.

What are the key skills and qualifications needed to thrive in the Intelligent Systems Engineering position, and why are they important?

Successful careers in Intelligent Systems Engineering require a strong background in computer science, control systems, mathematics, and often an advanced degree in engineering or a related field. Proficiency with programming languages (such as Python, C++, or MATLAB), experience with machine learning frameworks, and familiarity with embedded systems and sensor integration are typically expected. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this position. These competencies enable professionals to design, develop, and optimize complex intelligent systems that perform reliably in real-world applications.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or systems engineering can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that contribute to total compensation.

What engineers make $200,000 a year?

Engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in aerospace or data science can earn $200,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Senior-level positions often require advanced degrees, certifications, and extensive expertise in their domain.

What are the main challenges faced when working as an Intelligent Systems Engineer?

Intelligent Systems Engineers often encounter challenges such as integrating diverse hardware and software components, ensuring system reliability, and optimizing performance under real-world conditions. They must stay current with rapidly evolving technologies and continuously adapt their solutions to meet new requirements or constraints. Collaboration across multidisciplinary teams, including software developers, hardware engineers, and data scientists, is common and essential for project success. Tackling these challenges develops a well-rounded skill set and provides significant opportunities for professional growth and innovation.

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Intelligent Systems Engineering jobs near you
Infographic showing various Intelligent Systems Engineering job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,070 per year, or $68.3 per hour.
Staff Engineer, Systems (R4625)

Staff Engineer, Systems (R4625)

Shield AI

San Diego, CA • On-site

Full-time

Posted 28 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. 

The Hivemind Platform Team at Shield AI is seeking a highly skilled and detail-oriented Requirements Engineer to join our team. 

The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms. Hivemind Enterprise is a highly technical software product providing tools and user interfaces to support multiple user personae, ranging from AI developers to test engineers.  

As a Requirements Engineer for Hivemind at Shield AI, you will be a key member of a multidisciplinary systems engineering team, working collaboratively with Product, technical individual contributors, Test / Quality Assurance team members, and systems modelers to translate product user stories into clear engineering requirements with testable metrics. 

This role involves defining, modeling, and validating the Hivemind software system and its applications. It is hands-on and highly collaborative, requiring expertise in requirements formulation, traceability, management, systems modeling, and knowledge of autonomous software pipelines. While the primary focus is requirements development, this role also supports system model development as part of a broader systems engineering function and requires close collaboration with systems modelers to ensure consistency between requirements, system architecture, and system behavior across the Hivemind SDK. 

WHAT YOU'LL DO:
Requirements development: Work cross-functionally with Product Managers, technical individual contributors, and Quality Assurance team members to translate high-level customer feature requests into clear, detailed technical requirements aligned with product vision and roadmap. Ensure requirements are actionable by engineering teams and testable through defined metrics and acceptance criteria. 

Requirements analysis: Identify dependencies, constraints, edge cases, and risks within proposed product or technical requirements. Ensure all requirements are feasible, testable, and aligned with business objectives and technical constraints. 
 
Documentation and modeling: Author clear and well-structured documentation, including acceptance criteria, traceability links, and system models. Use requirement management tools to maintain clarity, consistency, and traceability. 
 
Validation and verification: Collaborate with the Quality Assurance, Test, and development teams to validate that requirements are implemented correctly. Support test case development and define strategies for requirement traceability and verification coverage, ensuring that an implementation satisfies requirements. 

Requirements management: Track and manage requirements throughout the development lifecycle. Maintain version control, document requirement changes, and assess the impact of updates to ensure consistent alignment with the product's technical and functional intent. 

Cross-functional alignment: Serve as the point of integration between customer intent and engineering execution. Facilitate communication across disciplines to reduce ambiguity, align expectations, and ensure clarity throughout design, development, and delivery. Participate in reviews and walkthroughs to confirm stakeholder alignment. 
 
Systems modeling support: Collaborate with systems modelers to contribute to the development and maintenance of system models that capture system architecture, behavior, and interfaces. Use models to improve requirement clarity, traceability, and validation, and ensure alignment between requirements and the evolving system design. 
REQUIRED QUALIFICATIONS:
  • Bachelor's degree with approximately 7+ years of relevant experience, or Master's degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field with demonstrated experience working on complex software or autonomous systems. 
  • Extensive experience generating product and test requirements for software products. Familiarity with software development workflows in modern languages (C++17 or later, Python, Go, etc.). 
  • Working knowledge of requirements management tools such as DOORS, Jama, or Jira. 
  • Comprehensive understanding of robotics and autonomy concepts. 
  • Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes. 
    4+ years of experience in systems engineering or quality assurance roles supporting aerospace, defense, or other safety-critical complex hardware/software systems. 
  • Familiarity with systems engineering processes, V-model development, and lifecycle traceability. 
  • Proficiency in reading and interpreting engineering drawings, schematics, and interface definitions. 
  • Experience supporting system modeling efforts using Cameo Systems Modeler and SysML and working with system models to inform and validate requirements. 
  • Comfortable working in a Linux development environment. 
  • Strong organizational, communication, and cross-functional collaboration skills. 
PREFERRED QUALIFICATIONS:
  • Experience supporting or defining developer tooling, SDKs, or platforms. 
  • Exposure to safety-critical or mission-critical software development environments. 
  • Experience creating software tooling or using software APIs for common requirements and project management tools. For example, writing scripts to transfer requirements from one data base structure to another or link requirements in one
  • program against test cases or product management items in other tools. 
$141,834 - $212,752 a year
#LI-DM2
#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.
 
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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.
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