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Remote Intelligent Systems Engineering Jobs in Nevada

Contract to Hire - SCADA Systems Analyst, this is a remote opportunity, working with our client in ... This role partners closely with operations, engineering, cybersecurity, infrastructure, and ...

Why this role is exciting At Vay, we're revolutionizing mobility with cutting-edge remote driving ... Elevate Engineering Excellence : Contribute to cross-team platform engineering initiatives, shaping ...

Mission Summary: The Remote Vehicle Assistance Agent monitors live data and provides remote ... Work closely with various engineering teams for system testing and testing of new scenarios * Work ...

Mission Summary: The Remote Vehicle Assistance Agent monitors live data and provides remote ... Work closely with various engineering teams for system testing and testing of new scenarios * Work ...

Mission Summary: The Remote Vehicle Assistance Agent monitors live data and provides remote ... Work closely with various engineering teams for system testing and testing of new scenarios * Work ...

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 ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Familiarity with software tools, databases, and programming languages commonly used in ...

Showing results 21-40

Remote Intelligent Systems Engineering information

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.

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 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 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 popular job titles related to Remote Intelligent Systems Engineering jobs in Nevada? For Remote Intelligent Systems Engineering jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Intelligent Systems Engineering jobs in Nevada look for? The top searched job categories for Remote Intelligent Systems Engineering jobs in Nevada are:
Infographic showing various Remote Intelligent Systems Engineering job openings in Nevada as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Software Engineer, Senior

Booz Allen Hamilton, Inc.

Nellis Air Force Base, NV • On-site, Remote

$116K - $153K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 11 hours ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0240110
Location:
Nellis AFB,NV,US
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Software Engineer, Senior
The Opportunity:
At a certain point, software design can start to look like clairvoyance. You've developed so many organization-wide software architectures that you can not only orchestrate the best solution for any technical challenge, but you can also anticipate future concerns. That's because you're a software architect who specializes in architecting integrated, AI-enabled software solutions that unify disparate defense data sources into a coherent operational picture, with a solid background in enterprise-scale analytics platforms and mission-system integration. At Booz Allen, you can use those skills to improve the software technology supporting advanced command and control (C2) in an Air Operations Center.
On our team, you'll translate your customer's software needs and future goals into a plan by developing and implementing effective Git-based versioning and modern DevSecOps toolchains tailored for deployment across the Maven Smart System (MSS) and SC2S environments, to design an effective software architecture. Your technical expertise will be vital as you lead the building of a machine-assisted decision platform that integrates all relevant data into a Common Air Defense Picture (CADP), automates air defense workflows, and generates optimized courses of action using AI-enabled decision-support components and iterative Agile development.
In this role, you'll directly impact Air Force C2 modernization by accelerating C2 decision cycles, automating key defensive workflows, enhancing cross-domain data fusion, and providing real-time operational recommendations that improve the protection of joint forces and strategic locations. With your advanced technical expertise, mentoring, and opportunities to learn new tools and skills, you'll guide a team that develops the best solutions for our customers.
Work with us as we transform the future of technology in Air Force C2 for the better.
Join us. The world can't wait.
You Have:
  • 6+ years of experience designing, developing, and delivering mission critical or enterprise software systems, including secure application environments and operator-facing capabilities in restricted or classified settings
  • 6+ years of experience architecting or implementing software solutions, including APIs, microservices, back-end systems, or workflow applications deployed in air gapped, degraded connectivity, or multi-classification environments
  • 6+ years of experience creating or maintaining software ecosystems, including logging frameworks, monitoring solutions, operational dashboards, or modernizing legacy applications
  • 6+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, automated testing, and secure deployment processes in constrained environments
  • 6+ years of experience integrating AI/ML, automation, or advanced analytics into production software, including intelligent assistants, decision support tools, or workflow automation
  • 6+ years of experience making architectural or implementation tradeoffs under constrained mission conditions, including limited infrastructure, evolving requirements, or demanding operational timelines
  • Experience rapidly learning unfamiliar technologies, achieving hands-on proficiency, and supporting engineering teams through full lifecycle implementation
  • Experience communicating technical decisions and solution impacts to engineers, government clients, or senior non-technical stakeholders
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience developing or supporting multi-cloud, multi-enclave, or multi-classification application architectures across environments such as NIPR, SIPR, JWICS, or coalition networks
  • Experience contributing to defense programs or large-scale software integration efforts involving acquisition, compliance, or organizational complexity
  • Experience supporting DoD installations, operational units, or C2 systems with incomplete documentation or inconsistent technical baselines
  • Experience creating automation workflows, engineering productivity tooling, or platform components that improve delivery velocity or reduce operator workload
  • Experience influencing system design or delivery in a technical leadership capacity
  • Experience supporting rapid response engineering missions, tiger teams, or flyaway teams under accelerated delivery timelines
  • Top Secret clearance
  • Cloud Platforms, DevSecOps, AI/ML, or Software Architecture Frameworks Certifications

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914