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Guidance Navigation Control Engineer Remote Jobs in Georgia

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders ... Build and maintain the model registry, version control, and promotion workflows that move models ...

Capgemini Engineering

$73K - $174K/yr

At Capgemini Engineering, the world leader in engineering services, we bring together a global team ... Familiarity with FAA AC 20-193 guidance for multi-core processor certification and experience with ...

Hyperproof

Senior DevSecOps Engineer

Atlanta, GA · Remote

$110K - $151K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... Support FedRAMP authorization activities: contribute to SSP documentation, NIST 800-53 control ...

Experity

Staff Engineer - Full Time - Remote

Atlanta, GA · On-site +1

$121K - $161K/yr

Provide technical guidance across multiple teams and initiatives. * Influence architectural ... Help teams navigate complex technical tradeoffs involving scalability, reliability, maintainability ...

Tier4 Group

PHP Developer - REMOTE USA

Atlanta, GA · Remote

Job Title: PHP Developer (Part-Time, Remote) Location: 100% Remote (EST/CST preferred) Schedule ... Familiarity with version control tools like Git * Ability to work independently and manage time ...

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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.
What are the most commonly searched types of Guidance Navigation Control Engineer jobs in Georgia? The most popular types of Guidance Navigation Control Engineer jobs in Georgia are:
What are popular job titles related to Guidance Navigation Control Engineer Remote jobs in Georgia? For Guidance Navigation Control Engineer Remote jobs in Georgia, the most frequently searched job titles are:
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Guidance Navigation Control Engineer Remote jobs near you

Lead Machine Learning Engineer - REMOTE

Lennar

Atlanta, GA • On-site, Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago

Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

19th of 80 rated construction

Job description

Lead ML Engineer - REMOTE
We are Lennar
Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
Join a Company that Empowers you to Build your Future
Lennar is seeking a Machine Learning Engineer to own and evolve the infrastructure and surface mechanisms that take our data science and ML models from notebook to production. This is a key role on the Applied AI & Data Science team, sitting at the intersection of software engineering, ML platform, and applied data science.
The ideal candidate is a software engineer with deep MLOps expertise. They know how to design model serving for both batch and real-time inference, build durable model registries and versioning practices, and stand up retraining pipelines that data scientists actually use. They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases, and the surrounding tooling that makes ML systems reliable in production.
You'll partner closely with data scientists, AI engineers, and platform teams-building and setting the foundation that lets ML models ship faster, retrain on schedule, and operate with the same engineering rigor as any other production service across 40+ divisions of one of the nation's largest homebuilders.
  • A career with purpose.
  • A career built on making dreams come true.
  • A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team
  • Design, build, and set the ML platform surface used by our data science team-covering model packaging, deployment, batch and real-time inference, and observability.
  • Establish and evangelize ML platform standards, patterns, and reusable components-raising the engineering bar for how ML models are built, deployed, and operated across the organization.
  • Mentor data scientists and engineers on production ML practices, code review their platform-adjacent work, and serve as the technical authority on MLOps decisions.
  • Own model serving infrastructure on AWS SageMaker (including SageMaker Unified Studio)-building patterns for batch inference jobs, real-time endpoints, and serverless inference depending on workload requirements.
  • Build and maintain the model registry, version control, and promotion workflows that move models cleanly from development to staging to production with full lineage and auditability.
  • Stand up and operate retraining pipelines using MLflow, Weights & Biases, and orchestration tools-automating retraining triggers, experiment tracking, model evaluation, and approval gates.
  • Build monitoring and alerting for production models including drift detection, performance degradation, data quality issues, and latency or cost anomalies.
  • Write clean, modular Python and infrastructure-as-code (Terraform) for ML platform components, applying software engineering best practices including testing, versioning, and code review.
  • Partner closely with data scientists to make their workflow faster and more reliable-reducing time-to-production for new models and increasing confidence in models already in production.
  • Collaborate with Data / Platform Engineering and AI Engineering counterparts to ensure feature pipelines, model artifacts, and inference services are integrated cleanly with the broader data and AI platform.

Requirements
  • Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
  • 7+ years of software engineering experience, including meaningful production ownership of services or platforms in a cloud environment.
  • 5+ years of hands-on MLOps or ML platform experience-deploying, monitoring, and retraining production models at scale.
  • Strong hands-on experience with AWS SageMaker (Unified Studio strongly preferred), including model training jobs, endpoints, batch transform, and pipelines.
  • Deep experience with experiment tracking, model registries, and retraining workflows using MLflow, Weights & Biases, or comparable tooling.
  • Strong Python skills with a track record of writing modular, well-tested, production-ready code; experience with infrastructure-as-code (Terraform preferred).
  • Solid understanding of both batch and real-time inference patterns, including the tradeoffs between latency, throughput, cost, and operational complexity.
  • Proven ability to partner with data scientists-understanding their workflow, lowering friction, and translating modeling needs into reliable platform capabilities.
  • Comfortable operating with autonomy in ambiguous environments-scoping work, setting realistic timelines, and raising blockers proactively without waiting to be asked.
  • Bonus: Experience with feature stores, model gateways, GPU workloads, distributed training, model drift monitoring tools, or supporting both classical ML and LLM-based models on the same platform.

What we offer:
  • The opportunity to deliver impact across one of the largest homebuilders in the United States.
  • A corporate culture focused on growth and development.
  • Freedom to try new impactful ideas.
  • Ability to deploy your work to teams across 40+ divisions and interact directly with those teams.
  • End-to-end project ownership.
  • Occasional travel for team activities and meetings.
  • Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or Dallas, TX.
  • Healthcare (medical, dental, vision) and 401k matching

Life at Lennar
At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.
Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.
Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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