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Entry Level Computational Geometry Developer Jobs

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

Basics of computational geometry and meshing requirements for CFD simulations * Proven experience ... PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

Basics of computational geometry and meshing requirements for CFD simulations * Proven experience ... PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

Basics of computational geometry and meshing requirements for CFD simulations * Proven experience ... PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering

Open Orion

ML Engineer

San Francisco, CA · On-site

... networks • Familiarity with computational geometry concepts meshes, BREP/NURBS, surface ... mechanical, or civil engineering domain knowledge Company : Founded in , the company is ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

... geometry generation algorithms for PCBs - Computational geometry and spatial data structures ... You're an engineer first. You write clean, consistent, production-ready code and take ownership of ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

... geometry generation algorithms for PCBs - Computational geometry and spatial data structures ... You're an engineer first. You write clean, consistent, production-ready code and take ownership of ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site

$150K - $250K/yr

... geometry generation algorithms for PCBs - Computational geometry and spatial data structures ... You're an engineer first. You write clean, consistent, production-ready code and take ownership of ...

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Entry Level Computational Geometry Developer information

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$100.3K

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How much do entry level computational geometry developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level computational geometry developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What is an entry level computational geometry developer?

Entry level computational geometry developers are software professionals who specialize in creating algorithms and software solutions for geometric problems, such as 3D modeling, graphics, and spatial analysis. They typically work with basic data structures, geometric algorithms, and programming languages like C++, Python, or Java. These developers often contribute to industries such as computer graphics, CAD, robotics, and geographic information systems (GIS). At the entry level, they focus on learning industry standards, implementing algorithms, and supporting senior developers in larger projects.

What are some common challenges faced by entry level computational geometry developers in their first year?

Entry level computational geometry developers often encounter challenges like interpreting complex mathematical concepts, translating geometric algorithms into efficient code, and debugging intricate spatial problems. Adapting to industry-standard libraries and collaborating with cross-functional teams, such as graphics engineers or data scientists, can also be new experiences. Overcoming the learning curve involves continuous practice, seeking mentorship, and staying updated with the latest research and tools in computational geometry.

What are the key skills and qualifications needed to thrive as an entry level computational geometry developer, and why are they important?

To thrive as an Entry Level Computational Geometry Developer, you need a strong background in mathematics (especially geometry and algorithms), programming skills in languages like C++ or Python, and typically a bachelor's degree in computer science, mathematics, or a related field. Familiarity with computational geometry libraries, version control systems like Git, and experience using development environments are common technical requirements. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate on complex projects and articulate solutions. These skills ensure you can efficiently develop, debug, and optimize geometric algorithms for practical applications.
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What are the most commonly searched types of Computational Geometry Developer jobs? The most popular types of Computational Geometry Developer jobs are:
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Entry Level Computational Geometry Developer jobs near you
Infographic showing various Entry Level Computational Geometry Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

AI Engineer, Vision & Foundation Models, Optimus

Tesla

Palo Alto, CA • On-site

Full-time

Re-posted 16 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is solving robust embodied intelligence through humanoid robots, and they are seeking an AI Engineer to join their team. The role involves building vision and multimodal foundation models that enable Optimus to understand and navigate the world, managing the complete model lifecycle from data engines to deploying neural networks on robots.
Responsibilities:
• Design and build scalable data pipelines, utilizing classical computer vision and off-the-shelf models to auto label massive video datasets
• Develop and train state-of-the-art foundational vision and multimodal networks, focusing on efficient tokenization, compression, and fusion of vision, language, audio, and tactile data
• Iterate on neural network architectures to improve perception, 3D understanding, and world modeling capabilities
• Optimize models for deployment on edge compute, utilizing quantization, pruning, and distillation to ensure real-time performance on the robot
• Collaborate with hardware and controls engineers to close the loop between perception and actuation in the real world
Qualifications:
Required:
• Strong software engineering skills in Python with an ability to write production-quality code
• Experience with PyTorch or another major deep learning framework (e.g., JAX, TensorFlow)
• Experience training large-scale models on distributed GPU clusters
• Strong mathematical fundamentals, including linear algebra, computational geometry, probability theory, and numerical optimization
• Familiarity with classical computer vision (camera models, calibration, sensor fusion)
• Domain expertise in one or more of the following areas: Foundational Vision, 3D & Geometry, Multimodal Models, Human/Object Reconstruction
Preferred:
• Strong mathematical fundamentals, including linear algebra, computational geometry, probability theory, and numerical optimization
• Familiarity with classical computer vision (camera models, calibration, sensor fusion)
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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