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Guidance Navigation Control Engineer Remote Jobs in Virginia

SAP SuccessFactors

SAP NS2 Sr. DevOps Engineer

Herndon, VA · On-site +1

$133K - $171K/yr

SAP NS2 Senior DevOps Engineer - Remote COMPANY DESCRIPTION SAP is the global market leader for ... technical guidance and mentorship to team members Communicate complex technical concepts ...

ICF

Senior DevOps Engineer - Remote

Reston, VA · Remote

$135K - $173K/yr

Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs ... navigate change, and shape the future. We can only solve the world's toughest challenges by ...

kgs

Tableau/Salesforce Developer (REMOTE)

Chantilly, VA · Remote

$56.75 - $75.25/hr

Lead technical design sessions and provide guidance to development teams * Develop complex ... If you require an accommodation to navigate or apply for a position on our website, please get in ...

kgs

Tableau/Salesforce Developer (REMOTE)

Chantilly, VA · Remote

$56.75 - $75.25/hr

Lead technical design sessions and provide guidance to development teams * Develop complex ... If you require an accommodation to navigate or apply for a position on our website, please get in ...

ICF

Senior DevOps Engineer - Remote USA

Reston, VA · Remote

$135K - $173K/yr

Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs ... navigate change, and shape the future. We can only solve the world's toughest challenges by ...

CGI Inc.

Remote Support Engineer, Junior

Arlington, VA · On-site +1

Remote Support Engineer, Junior Category: Service Desk / End User Services Main location: United ... Providing step-by-step instructions and guidance to users to resolve technical problems. • ...

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Guidance Navigation Control Engineer Remote information

What are the key skills and qualifications needed to thrive as a guidance navigation control engineer working remotely?

To thrive as a Guidance Navigation Control Engineer, you need strong expertise in control systems, aerospace engineering, and mathematics, often backed by a relevant engineering degree. Familiarity with tools such as MATLAB/Simulink, C/C++, and experience with simulation and modeling software are typically required, along with knowledge of industry standards. Excellent problem-solving, teamwork, and communication skills are crucial for collaborating remotely and effectively addressing complex technical challenges. These skills and qualifications ensure that you can design, implement, and refine reliable navigation and control systems for aerospace or robotics applications while working efficiently in a remote environment.

What is the difference between Guidance Navigation Control Engineer Remote vs Guidance Navigation Control Engineer On-site?

AspectGuidance Navigation Control Engineer RemoteGuidance Navigation Control Engineer On-site
Work EnvironmentPrimarily remote, with occasional on-site visitsLocated at the company's facilities or project sites
Required CredentialsBachelor's or higher in engineering, certifications in navigation or control systemsSame as remote, with emphasis on hands-on experience
Industry UsageCommon in aerospace, defense, and autonomous vehicle sectorsTypically in similar industries, often with direct hardware interaction
Work FlexibilityHigh flexibility, remote collaboration tools usedLess flexible, requires physical presence for certain tasks

Guidance Navigation Control Engineer Remote roles focus on remote collaboration and system design, while on-site positions involve direct hardware interaction and physical testing. Both roles require similar credentials and industry experience, but differ mainly in work environment and flexibility.

What are some common challenges faced by guidance navigation control engineers working remotely, and how can these be addressed?

Guidance Navigation Control Engineers working remotely often face challenges related to real-time collaboration, access to specialized hardware, and communication with multidisciplinary teams. To address these, it's important to leverage robust collaboration tools, schedule regular video meetings, and ensure clear documentation of design changes and simulation results. Additionally, many organizations offer remote access to lab environments or provide simulation software licenses to facilitate testing from home, making it easier to contribute effectively even when working off-site.

What does a guidance navigation control engineer do when working remotely?

A Guidance Navigation Control (GNC) Engineer working remotely designs and develops systems that guide, navigate, and control vehicles such as aircraft, spacecraft, or autonomous vehicles. They use simulations, software tools, and mathematical models to ensure vehicles follow desired trajectories and maintain stability. Remote GNC engineers collaborate with multidisciplinary teams via digital platforms, conduct analyses, and test algorithms, often using remote access to hardware or simulators. Communication skills and strong technical proficiency are essential for success in this remote role.
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What are popular job titles related to Guidance Navigation Control Engineer Remote jobs in Virginia? For Guidance Navigation Control Engineer Remote jobs in Virginia, the most frequently searched job titles are:
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Guidance Navigation Control Engineer Remote jobs near you

Intelligent Infrastructure Engineer

Bright Vision Technologies

Sterling, VA • Remote

$100K - $150K/yr

Full-time

Posted 5 days ago

Job description

Intelligent Infrastructure Engineer – Remote
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
Job Title: Intelligent Infrastructure Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
Job Summary
We are seeking an Intelligent Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work.
 
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in infrastructure, platform, or HPC engineering.
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
  • Strong proficiency in Python and at least one systems language such as Go or C++.
  • Deep understanding of distributed training, accelerator architectures, and collective communication.
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
  • Strong understanding of Linux internals, networking, and high-performance storage.
  • Experience with at least one major cloud provider’s ML infrastructure offerings.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience operating InfiniBand or RDMA networking at scale.
  • Contributions to open-source ML infrastructure projects.
  • Familiarity with custom orchestrators or research-grade training stacks.
  • Exposure to frontier model training operations.
  • Experience with FinOps for AI workloads.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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