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Rapid Deployable Systems Jobs (NOW HIRING)

Systems Engineer

Irvine, CA · On-site

$146K - $194K/yr

... deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide. ABOUT THE JOB We are looking to hire a Systems Engineer to join our rapid ...

... deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide. ABOUT THE JOB We are looking to hire a Systems Engineer to join our rapid ...

Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and ... In this role, you will own power system studies from early architecture tradeoffs through detailed ...

This role designs, deploys, and maintains production systems while managing configuration, build ... rapid resolution and minimizing operational impact. In addition to cloud and infrastructure ...

Systems Engineer

El Segundo, CA · On-site

$133K - $190K/yr

Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and ... This role bridges systems engineering, design, analysis, manufacturing, and operations. As a ...

Systems Engineer

El Segundo, CA · On-site

$133K - $190K/yr

Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and ... This role bridges systems engineering, design, analysis, manufacturing, and operations. As a ...

This role designs, deploys, and maintains production systems while managing configuration, build ... rapid resolution and minimizing operational impact. In addition to cloud and infrastructure ...

Rapid Prototyping Controls Engineer

Romeo, MI · On-site

$80K - $104K/yr

Rapid Prototyping Controls Engineer Location: Romeo, MI (48065) Duration: 12 Months Req ID ... deploy on test benches · Ensure communication with Vector / IPEMotion data acquisition systems ...

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Rapid Deployable Systems information

See salary details

$36K

$68.4K

$116K

How much do rapid deployable systems jobs pay per year?

As of Jun 6, 2026, the average yearly pay for rapid deployable systems in the United States is $68,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What is the difference between Rapid Deployable Systems vs Field Service Technician?

AspectRapid Deployable SystemsField Service Technician
CredentialsTechnical certifications, security clearancesTechnical certifications, on-the-job training
Work EnvironmentOn-site deployment, mobile units, remote locationsOn-site client locations, equipment installation and maintenance
Industry UsageDefense, emergency response, militaryTelecommunications, manufacturing, equipment service

Rapid Deployable Systems and Field Service Technicians both require technical skills and certifications. However, Rapid Deployable Systems focus on deploying mobile, often secure systems in remote or urgent scenarios, while Field Service Technicians primarily maintain and repair equipment at client sites. The roles differ mainly in deployment scope and environment, but share foundational technical knowledge.

What are the key skills and qualifications needed to thrive in a Rapid Deployable Systems role, and why are they important?

To thrive in a Rapid Deployable Systems role, you need strong technical expertise in systems engineering, logistics, and field deployment, often backed by degrees in engineering or related fields. Familiarity with communication systems, portable power solutions, and rapid prototyping tools, as well as certifications like CompTIA Network+ or PMP, are typically valuable. Adaptability, problem-solving, and the ability to work effectively under pressure are crucial soft skills for success in dynamic environments. These skills ensure efficient deployment, operational reliability, and responsiveness during critical missions or emergencies.

What are some common challenges faced by professionals working with Rapid Deployable Systems, and how can they be addressed?

Professionals in Rapid Deployable Systems often face challenges such as tight deployment timelines, adapting solutions to diverse environments, and ensuring seamless coordination among multidisciplinary teams. Success in this field requires strong problem-solving skills, flexibility, and effective communication, as projects often involve working under pressure and with limited resources. Building strong relationships with logistical and technical teams, staying current with emerging technologies, and participating in regular training can help address these challenges and enhance project outcomes.

What are Rapid Deployable Systems?

Rapid Deployable Systems are specialized, portable setups designed for quick assembly and operation in various environments, often used in emergency response, military, or field operations. These systems can include communications equipment, medical facilities, shelters, and other essential infrastructure that needs to be quickly mobilized. Their main advantage is the ability to provide critical support and functionality in locations where permanent installations are unavailable or impractical. They are engineered for fast deployment, ease of transport, and reliability under challenging conditions.
What cities are hiring for Rapid Deployable Systems jobs? Cities with the most Rapid Deployable Systems job openings:
What states have the most Rapid Deployable Systems jobs? States with the most job openings for Rapid Deployable Systems jobs include:
Infographic showing various Rapid Deployable Systems job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,438 per year, or $32.9 per hour.
Engineering Manager, Cooperative Systems

Engineering Manager, Cooperative Systems

OpenAI

Seattle, WA • On-site

$325K - $385K/yr

Full-time

Posted 10 days ago


Job description

About the Team
The Cooperative AI team is scaling OpenAI with OpenAI.
We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI's state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work.
We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds.
We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale.
About the Role
We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI.
This role sits at the intersection of applied AI, research, and product engineering. You'll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work.
You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time.
This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational work at scale.
What You'll Do
  • Lead and grow a small team building applied AI systems for internal operations
  • Design and build AI-powered automation systems in close proximity to customers
  • Stay hands-on in architecture and implementation across the full stack
  • Develop evolving systems spanning developer tools, automation platforms, knowledge graphs, and data systems
  • Deploy systems directly to internal users and close customers to iterate rapidly based on real-world feedback
  • Engage frequently with scaled workforces to understand needs and validate solutions
  • Create systems for visibility and learning in hybrid workforces
  • Partner with product, research, and ops teams daily

You Might Thrive in This Role If You
  • Have 12+ years of experience in engineering, including 3+ years of experience in engineering management, and at least 7 years as an IC engineer
  • Are a hands-on builder who enjoys operating across the stack
  • Have deep experience applying AI, and are ready to experiment with frontier approaches
  • Bring strong technical judgment across systems design, infrastructure, and full-stack development
  • Have built developer tools, internal platforms, or workflow automation systems
  • Enjoy frequent interaction with customers and thrive in feedback-driven development loops
  • Are comfortable with ambiguity and excited to operate in a rapidly evolving space
  • Have experience in operationally complex environments (e.g., logistics, support systems, internal tooling, warehouse automation, etc.)

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.