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Remote Software Engineer Jobs in Weirton, WV (NOW HIRING)

Motional

Senior Motion Planning Engineer

Pittsburgh, PA · On-site +1

$172K - $229K/yr

On our Motion Planning team, you'll apply your passion in robotics and software development for ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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$62K

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$200.6K

How much do remote software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote software engineer in Weirton, WV is $144,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $168,900.00 per year, depending on experience, location, and employer.

What is a remote software engineer?

Remote Software Engineers are professionals who design, develop, test, and maintain software applications from locations outside of a traditional office environment. They collaborate with teams and clients using digital communication tools, allowing for flexible work arrangements. Remote Software Engineers require strong technical and communication skills, as well as the ability to manage their own schedules and work independently. This role is ideal for individuals who are self-motivated and comfortable working in a virtual setting.

What does a remote software engineer do?

As a remote software engineer, you work from home to create and develop systems using programming languages and frameworks. As part of your duties, you design and install software solutions by determining specifications and developing code. You also improve software initiatives by reviewing systems and recommending solutions, often virtually guiding clients through the database, network, and computer processes. By collecting and analyzing issues, you can develop solutions for a variety of technical problems. The remote aspect of this job means you can work from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a remote software engineer, and why are they important?

To thrive as a Remote Software Engineer, you need strong programming skills, proficiency in software development methodologies, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and project management tools such as Jira is often required. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration. These abilities ensure effective development, seamless teamwork, and productivity in a distributed work environment.

What are some common challenges faced by remote software engineers, and how can they be effectively managed?

Remote software engineers often encounter challenges such as communication barriers, time zone differences, and maintaining work-life balance. These can be effectively managed by utilizing collaboration tools (like Slack or Zoom), setting clear expectations with team members, and establishing a dedicated workspace. Regular check-ins, asynchronous updates, and proactive communication help ensure everyone stays aligned on project goals. Building strong relationships with colleagues through virtual meetings and team-building activities can also foster a supportive remote work environment.

What is the difference between Remote Software Engineer vs Remote Web Developer?

AspectRemote Software EngineerRemote Web Developer
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, design, or related field, coding skills
Work EnvironmentCollaborates on software projects, often in teamsFocuses on website and web app development, often in teams
Employer & Industry UsageTech companies, startups, software firmsWeb agencies, tech companies, startups
Search & Comparison IntentOften compared for software development rolesRelated but more focused on web-specific tasks

Remote Software Engineers develop a wide range of software applications, while Remote Web Developers specialize in building websites and web-based applications. Both roles require similar technical skills and often work in similar environments, but their focus areas differ, making this comparison useful for those exploring career options or job opportunities in tech.

More about Remote Software Engineer jobs

What are the most commonly searched types of Software Engineer jobs in Weirton, WV?

The most popular types of Software Engineer jobs in Weirton, WV are:

What are popular job titles related to Remote Software Engineer jobs in Weirton, WV?

For Remote Software Engineer jobs in Weirton, WV, the most frequently searched job titles are:

What cities near Weirton, WV are hiring for Remote Software Engineer jobs?

Cities near Weirton, WV with the most Remote Software Engineer job openings:

Remote Software Engineer jobs near you
Infographic showing various Remote Software Engineer job openings in Weirton, WV as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $144,008 per year, or $69.2 per hour.

Senior Software Engineer, AI/ML Platform

Agility Robotics

Pittsburgh, PA • On-site, Remote

$197K - $307K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

Join the team building the machine learning platform to power fleet-scale humanoid robotics. As a senior engineer on the ML Infrastructure and Platform group, you will help architect and build the foundational infrastructure for AI and machine learning operations at Agility. This includes the platform layer for data collection and processing, training, sim and real evaluation, and model management and observability.

Your work will empower our AI teams across perception, controls, skills, and innovation to build and deploy next-generation robot foundation models and end-to-end policies for humanoid robots by providing tools to develop and operationalize machine learning at scale. 

Key Responsibilities

Execution and Technical Ownership

    • Contribute to the design and implementation of the ML platform for orchestrating the end to end AI flywheel of data processing, training, evaluation, and deployment 
    • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation
    • Build core infrastructure components such as the model registry, feature store and experiment tracking tooling.
    • Own developer-facing APIs and CLI tools that make ML workflows simple and reproducible. 
    • Implement the CI/CD lifecycle for ML that enable continuous retraining, automated testing, and seamless model delivery to production environments

Collaboration

    • Work closely with the Staff ML Infra Engineer and cross-functional stakeholders (AI researchers and robotics engineers) to understand requirements and translate them into scalable solutions/systems.
    • Partner with data platform engineers to integrate ML orchestration and metadata tracking tools with our existing data lake and pipelines.

Engineering Excellence, Growth and Impact: 

    • Apply MLOps best practices: reproducibility, lineage, rollback, monitoring and governance. 
    • Mentor junior engineers and influence the broader cloud platform organization's roadmap.
    • Contribute to internal discussions on platform architecture, reliability, and scalability alongside the broader ML and data platform team
What We're Aiming For (MLOps Level 2)
  • Version-controlled ML pipelines (data, code, and config)
  • Automated and reproducible model training and evaluation
  • Continuous integration and delivery for ML workflows
  • Centralized experiment tracking and performance visualization
  • Standardized model packaging and deployment to production
  • Monitoring of models post-deployment
Required Qualifications
  • 5+ years of software engineering experience, with at least 2+ years working on ML infrastructure, data platforms or MLOps systems in production environments.
  • Experience building and maintaining components of modern ML platforms—such as experiment tracking, model registries, training pipelines, or deployment systems
  • Familiarity with orchestration and tracking tools (MLflow, WandB, Airflow, Kubeflow, etc.)
  • Proficiency with cloud-native platforms (AWS, GCP, or Azure), containers, and IaC (e.g., CDK, Terraform)
  • Hands-on experience with processing or modeling multimodal data(sensor logs, camera streams, behaviour traces etc).
  • Comfortable collaborating cross-functionally with research scientists, data engineers, and robotics/autonomy teams to ship infrastructure used by others
Bonus Qualifications
  • Experience with robotics, autonomous vehicles, drones or embedded ML.
  • Contributions to open-source ML infrastructure or MLOps tooling a plus. 
Why This Role?
  • Build from the start Join at a pivotal moment - help shape the ML platform layer as its being defined, not inherited. 
  • High impact: Your work will directly enable faster, safer, and more intelligent robotic behaviors at scale
  • Technical Frontier: You will work directly on enabling the next frontier of AI in real production settings
  • Remote-friendly with a strong engineering culture and a fully distributed team.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range
$197,000—$307,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.  We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page.  If you are represented by a third party, your application may not be considered.  To ensure full consideration, please apply directly.