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Remote Astronomy Software Engineer Jobs in Conroe, TX

IQVIA

Sr Software Development Engineer

Houston, TX · On-site +1

$117K - $154K/yr

Position Summary We are seeking a Senior Software Development Engineer to design, build, and lead ... remote) U.S. residents only; work must be performed within the United States. Experience ...

IQVIA

Sr Software Development Engineer

Houston, TX · On-site +1

$117K - $154K/yr

Position Summary We are seeking a Senior Software Development Engineer to design, build, and lead ... remote) U.S. residents only; work must be performed within the United States. Experience ...

YO AI Labs

GPU Programmer - Remote

Houston, TX · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

micro1 AI

Bioinformatics Software Engineer

Houston, TX · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Conroe, TX · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

YO AI Labs

GPU Programming Expert - Remote

Houston, TX · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

Sembix LLC

Be Seen First

AI Engineer (Entry-Level Remote)

Houston, TX · Remote

$60K - $75K/yr

Build AI-integrated software: wire up LLM/AI APIs, design simple agent workflows, and ship AI ... Collaborate with senior engineers, ask great questions, and absorb engineering standards and best ...

YO AI Labs

CUDA Engineering Expert - Remote

Houston, TX · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

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Showing results 21-40

All JobsAstronomy Software Engineer JobsRemote Astronomy Software Engineer JobsRemote Astronomy Software Engineer Jobs in Conroe, TX

Remote Astronomy Software Engineer information

See Conroe, TX salary details

$57.4K

$111K

$191.8K

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

As of Aug 22, 2026, the average yearly pay for remote astronomy software engineer in Conroe, TX is $111,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $120,700.00 per year, depending on experience, location, and employer.

What is a remote astronomy software engineer?

Remote Astronomy Software Engineers are professionals who design, develop, and maintain software systems used in astronomical research and observation, all while working from a remote location. They collaborate with scientists and engineers to create tools for data collection, analysis, and visualization, often handling large datasets from telescopes or simulations. Their work supports discoveries in astrophysics by ensuring that astronomers have reliable, efficient software to process and interpret data. The remote aspect allows them to contribute to projects globally, often working with international research teams.

How does a remote astronomy software engineer typically collaborate with astronomers and other scientific team members?

As a Remote Astronomy Software Engineer, you will regularly collaborate with astronomers, data scientists, and research teams through virtual meetings, shared documentation platforms, and version control systems. Effective communication is essential, as you'll often translate complex scientific requirements into robust and efficient software solutions. You may be involved in code reviews, troubleshooting sessions, and the integration of software tools with astronomical instrumentation or data pipelines. Building strong remote working relationships and proactively seeking feedback are key to ensuring your software meets the evolving needs of scientific users.

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

To thrive as a Remote Astronomy Software Engineer, you need a solid background in computer science, experience with scientific programming, and a familiarity with astronomical concepts, often supported by a relevant degree. Proficiency in programming languages such as Python or C++, experience with data analysis tools, and knowledge of astronomical data systems like FITS or VO are typically required. Strong problem-solving, independent work ethic, and effective virtual communication skills set top candidates apart. These abilities are crucial for developing robust software solutions that support astronomical research, often in distributed and collaborative environments.

What job categories do people searching Remote Astronomy Software Engineer jobs in Conroe, TX look for?

The top searched job categories for Remote Astronomy Software Engineer jobs in Conroe, TX are:

What cities near Conroe, TX are hiring for Remote Astronomy Software Engineer jobs?

Cities near Conroe, TX with the most Remote Astronomy Software Engineer job openings:

Remote Astronomy Software Engineer jobs near you
Infographic showing various Remote Astronomy Software Engineer job openings in Conroe, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,021 per year, or $53.4 per hour.

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$116K - $156K/yr

Full-time

Re-posted 26 days ago

Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and maintain the calculation logic, data flows and infrastructure that power ComboCurve's Economics engine. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building new features that make ComboCurve's platform even more powerful.
What You'll Do
  1. Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure.
  1. Own features end-to-end-from scoping and design through implementation, deployment, and monitoring-working as an independent unit alongside our Product Manager.
  1. Engage in software and infrastructure system design discussions, contributing to architectural decisions that shape the ComboCurve platform.
  1. Build and maintain backend services and APIs in Python that are reliable, well-tested, and straightforward to extend.
  1. Model, query, and optimize data in MongoDB-schema design, indexing, and aggregation pipelines-so product features stay fast as data grows.
  1. Deploy and operate containerized services on cloud infrastructure, leveraging GCP components such as Cloud Run, Cloud Functions, and GCS.
  1. Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code quality, and explore new product capabilities.
  1. Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team.

Requirements
Technical
  1. Python: Production-grade Python 3.13+, type annotations and async/await as the default. No shortcuts on type safety.
  1. API Design: Clean REST or gRPC services with OpenAPI contracts. Knows how to version and evolve APIs without breaking consumers.
  1. Web Frameworks & Serving: Hands-on experience with Flask and/or FastAPI for building production services, and comfortable configuring Gunicorn for WSGI deployment.
  1. Software Architecture Patterns: SOLID principles and clean architecture in practice. Designs decoupled, maintainable services that scale.
  1. Data & Statistical Analysis: Comfortable working with structured datasets in Python using tools like pandas or numpy for basic statistical analysis, exploratory analysis, and deriving actionable insights from data.
  1. Data Processing & Visualization: Able to process medium-to-large datasets efficiently and communicate findings clearly through simple visualizations or reports when needed.
  1. SaaS Delivery: Proven track record taking features to production in cloud-based SaaS products. Comfortable with the full lifecycle from dev to deploy to monitor.
  1. MongoDB: Schema design, indexing, and aggregation pipelines in production. ODM like MongoEngine or native driver, e.g. PyMongo.
  1. Modern Dependency Management: Hands-on with uv or similar for fast package resolution and virtual environment handling.
  1. Testing: Comprehensive pytest suites including fixtures, parameterization, and mocked external services.
  1. Containerization: Docker and Docker Compose for local and production. Knows how to keep images lean.
  1. Code Quality: Enforces standards via tools like ruff and pyright. Treats static analysis as a first-class concern.

Nice to Have
  1. Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud Functions, and Cloud Storage.
  1. AI Integration: Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features without needing to be an ML specialist.
  1. Domain Knowledge: Experience in the oil and gas industry or a background in Petroleum Engineering; the context matters here and shapes better product decisions.

Workflow & Collaboration
  1. Takes ownership end-to-end, from scoping to shipping to iterating.
  1. Can translate ambiguous product requirements into concrete technical proposals.
  1. Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  1. Reviews code to raise quality and share context, not just approve.

While this is a fully remote position, there will be an in person New Hire Orientation.

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