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Remote Computational Geometry Developer Jobs in Texas

AI Engineer

Austin, TX ยท On-site +1

$140K - $200K/yr

AI Engineer Location: Remote (United States) Compensation: $140,000 - $200,000 base Visa ... Establish rigorous evaluation frameworks to measure model accuracy, drift, and computational ...

Senior Software Engineer

Austin, TX ยท On-site +1

$140K - $185K/yr

... computational breakthroughs. Join a world-class team of scientists, engineers, and business ... remote. Job Responsibilities * Develop and maintain public API features and open-source SDKs for ...

Senior Software Engineer - SAI/SDK

Austin, TX ยท On-site +1

$121K - $160K/yr

... computational challenges with our next-generation networking solutions. We are a fast-growing ... This is a remote position for employees residing within the United States. We offer a competitive ...

Senior Software Engineer - SAI/SDK

Austin, TX ยท On-site +1

$121K - $160K/yr

... computational challenges with our next-generation networking solutions. We are a fast-growing ... This is a remote position for employees residing within the United States. We offer a competitive ...

Senior Firmware Security Engineer

Austin, TX ยท On-site +1

$118K - $156K/yr

... computational challenges with our next-generation networking solutions. We are a fast-growing ... Location:This is a remote position for employees residing within the United States. We offer a ...

... computational challenges with our next-generation networking solutions. We are a fast-growing ... This is a remote position for employees residing within the United States. We offer a competitive ...

Data Engineer

Dallas, TX ยท On-site +1

$113K - $136K/yr

Ability to apply basic concepts of algebra and geometry. * Ability to solve practical problems and ... General office working conditions can be remote work from home or in the office. Each department ...

Data Engineer

Dallas, TX ยท On-site +1

$100K - $120K/yr

Ability to apply basic concepts of algebra and geometry. * Ability to solve practical problems and ... General office working conditions can be remote work from home or in the office. Each department ...

Senior Kubernetes Platform Engineer

Austin, TX ยท On-site +1

$54.75 - $70.50/hr

... computational challenges with our next-generation networking solutions. We are a fast-growing ... This is a remote position for employees residing within the United States We offer a competitive ...

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Remote Computational Geometry Developer information

What is the difference between Remote Computational Geometry Developer vs Remote Software Engineer?

AspectRemote Computational Geometry Developer

Remote Computational Geometry Developers focus on algorithms and data structures related to geometric computations, often requiring specialized knowledge in computational geometry, mathematics, and programming. They typically work in industries like CAD, GIS, or robotics, often in a remote setting. Remote Software Engineers have a broader scope, working on various software applications across industries, with less emphasis on geometric algorithms. Both roles may require similar programming skills and remote work experience, but the core focus differs significantly.

What are some common challenges faced by remote computational geometry developers, and how can they be addressed?

Remote computational geometry developers often face challenges such as collaborating effectively with distributed teams, ensuring code consistency, and managing complex mathematical algorithms without immediate in-person support. To overcome these, regular virtual meetings, clear documentation, and the use of collaborative development tools like version control systems are essential. Additionally, leveraging online forums and peer code reviews can help maintain high-quality work and foster ongoing learning.

What are the key skills and qualifications needed to thrive as a Remote Computational Geometry Developer, and why are they important?

To thrive as a Remote Computational Geometry Developer, you need strong mathematical foundations in computational geometry, proficiency in programming languages like C++, Python, or Java, and typically a degree in computer science or a related field. Familiarity with algorithm libraries (such as CGAL), version control systems (like Git), and cloud-based collaboration tools is essential. Excellent problem-solving skills, attention to detail, and clear communication are important soft skills for collaborating remotely and tackling complex geometric challenges. These combined skills ensure you can efficiently develop robust algorithms, collaborate with distributed teams, and deliver accurate, high-performance solutions.

What is a Remote Computational Geometry Developer?

A Remote Computational Geometry Developer is a software engineer who specializes in designing, developing, and optimizing algorithms that solve geometric problems, such as collision detection, mesh generation, or spatial analysis. This role involves working remotely, often collaborating with teams in fields like computer graphics, robotics, CAD, or GIS. Developers in this area typically use programming languages like C++, Python, or Java and apply advanced mathematical concepts to create efficient and scalable geometric solutions.
What are the most commonly searched types of Computational Geometry Developer jobs in Texas? The most popular types of Computational Geometry Developer jobs in Texas are:
What are popular job titles related to Remote Computational Geometry Developer jobs in Texas? For Remote Computational Geometry Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Computational Geometry Developer jobs in Texas look for? The top searched job categories for Remote Computational Geometry Developer jobs in Texas are:
What cities in Texas are hiring for Remote Computational Geometry Developer jobs? Cities in Texas with the most Remote Computational Geometry Developer job openings:

AI Engineer

David Joseph & Company

Austin, TX โ€ข On-site, Remote

$140K - $200K/yr

Full-time

Medical, Dental, Vision

Posted 15 days ago


Job description

AI Engineer

Location: Remote (United States)
Compensation: $140,000 โ€“ $200,000 base
Visa Sponsorship: None available โ€” US Citizen or Green Card holder required
Experience Level: 5+ years
Employment Type: Full-Time

About the Company

The company is an enterprise AI company based in Austin, Texas, founded in 2021. The company offers a hybrid AI platform that integrates autonomous AI agents with human expertise, allowing businesses to build, deploy, and scale custom AI solutions significantly faster and at lower cost than traditional methods. The no-code platform supports full-lifecycle AI including data integration, predictive analytics, and workflow automation. Series A with $39.5M raised, serving manufacturing, retail, and financial services customers globally.

About the Role

As an AI Engineer, you will design, train, and deploy machine learning models and LLM-powered systems that power an automated machine learning platform for enterprise users. You will bridge the gap between complex data science and intuitive user experiences โ€” owning everything from RAG pipeline architecture to production deployment and API development.

What You'll Own
  • Design, train, and optimize ML models and LLMs to solve complex predictive and generative tasks within the RapidCanvas platform
  • Architect and implement robust RAG workflows โ€” vector database management, embedding optimization, and advanced prompt engineering
  • Deploy scalable AI services using containerization and orchestration tools, ensuring high availability and low-latency inference
  • Build and maintain automated data ingestion and preprocessing pipelines to transform raw enterprise data into high-quality training sets and feature stores
  • Establish rigorous evaluation frameworks to measure model accuracy, drift, and computational efficiency
  • Develop secure, high-performance APIs to expose AI capabilities to the frontend
Requirements
  • 5+ years of professional experience moving ML models into production environments
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field
  • Proven experience implementing LLMs and RAG architectures using LangChain, LlamaIndex, OpenAI APIs, or similar
  • Advanced Python proficiency including FastAPI or Flask for model serving
  • Hands-on experience with vector databases โ€” Pinecone, Milvus, Weaviate, or equivalent
  • MLOps experience โ€” Docker, Kubernetes, MLflow, Airflow, or similar for full ML lifecycle management
  • Cloud platform experience โ€” AWS, GCP, or Azure
  • Experience with SQL/NoSQL databases and large-scale data processing
  • US Citizen or Green Card holder โ€” no visa sponsorship available
Nice to Have
  • Experience with Auto-ML or No-Code/Low-Code data science platforms
  • Proficiency with gradient-boosted trees (XGBoost, LightGBM), time-series forecasting, and deep learning frameworks
  • Experience with automated feature engineering and hyperparameter tuning (Optuna, Ray Tune)
  • Familiarity with Spark or Dask for large-scale data processing
  • Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
Benefits
  • Health, dental, and vision insurance
  • Outcome-oriented flexibility โ€” focus on impact over hours logged
Interview Process
  1. First-round team interview โ€” technical and collaborative session
  2. Technical assessment โ€” practical skills evaluation or take-home assignment
  3. Deep-dive interview โ€” architecture, methodologies, and project experience
  4. Cultural alignment and leadership interview with key stakeholders
Logistics
  • Role is fully remote within the United States
  • US Citizen or Green Card holder required โ€” no visa sponsorship or relocation assistance available

Shortlisted candidates will be contacted by David Joseph & Co.