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Robotics Software Engineer Remote Jobs in Spring, TX

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Apply software engineering best practices including testing, version control, and documentation

SynMax

Senior Full-Stack Engineer

Houston, TX · Remote

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

SynMax

Senior Full-Stack Engineer

Houston, TX · On-site +1

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

IMC Associates

SW & Eng Mgr Python

Houston, TX · On-site +1

Python: Sr. Software Engineer and Engineering Managers Locations: NYC, Texas - Each Position Can Be On Site, Partially or 100% Remote 115k - 185K base with some flex - Fulltime Depending On ...

SupplyHouse

Director of Software Engineering

Houston, TX · On-site +1

$65K - $92K/yr

Through an Employer of Record (EOR), we are looking for a new Director of Software Engineering in India to join our growing IT Team. This individual will report into our VP of IT and lead our ...

Full Circle

MEP Engineer/Designer Remote

Houston, TX · Remote

This is a full-time remote role for an MEP Engineer/Designer. The role involves day-to-day tasks ... S. office software packages. Experience with Design Master Software a plus. Working knowledge of ...

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All JobsRobotics Software Engineer JobsRobotics Software Engineer Remote JobsRobotics Software Engineer Remote Jobs in Spring, TX

Robotics Software Engineer Remote information

See Spring, TX salary details

$53.4K

$110.8K

$159.3K

How much do robotics software engineer remote jobs pay per year?

As of Jul 15, 2026, the average yearly pay for robotics software engineer remote in Spring, TX is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $135,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Robotics Software Engineer (Remote), and why are they important?

To thrive as a Robotics Software Engineer working remotely, you need expertise in programming languages like C++ and Python, a background in robotics or computer engineering, and preferably a relevant degree. Familiarity with ROS (Robot Operating System), simulation tools such as Gazebo, and version control systems like Git are commonly required, along with experience in cloud collaboration platforms. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in distributed teams and manage complex projects independently. These skills and qualities are crucial to develop, test, and deploy robust robotics solutions efficiently while collaborating virtually with multidisciplinary teams.

How do Robotics Software Engineers typically collaborate with hardware teams in a remote work environment?

Robotics Software Engineers working remotely often use a combination of virtual meetings, collaborative platforms, and remote access tools to coordinate with hardware teams. Regular video conferences and shared documentation ensure alignment on integration points, testing schedules, and system requirements. Engineers may also use simulation environments to test code before deploying it to physical hardware, reducing the need for constant onsite presence. Effective communication and clear documentation are essential to overcome the challenges of working with physical devices from a distance.

What does a Robotics Software Engineer do in a remote role?

A Robotics Software Engineer working remotely designs, develops, and maintains software that controls robotic systems. This may include programming robot behaviors, integrating sensors, working with simulation environments, and troubleshooting software issues. Remote engineers often collaborate with teams using online communication tools, and may test code through simulators or by connecting to physical robots at a distance. Strong skills in programming languages like C++ or Python and familiarity with robotics frameworks such as ROS (Robot Operating System) are typically required.
What are popular job titles related to Robotics Software Engineer Remote jobs in Spring, TX? For Robotics Software Engineer Remote jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Robotics Software Engineer Remote jobs in Spring, TX look for? The top searched job categories for Robotics Software Engineer Remote jobs in Spring, TX are:
What cities near Spring, TX are hiring for Robotics Software Engineer Remote jobs? Cities near Spring, TX with the most Robotics Software Engineer Remote job openings:
Robotics Software Engineer Remote jobs near you

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Posted 27 days ago

Job description

Job Title:                          Data Engineer 

Department:                     Modeling & Analytics

Reports to:                       Lead Modeling Scientist

Location:                          Remote

Base Salary Range:        $95k - $130k

General Position Description

The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

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