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Director Computational Geometry Developer Jobs (NOW HIRING)

Sapsol Technologies Inc

C++ Developer

Mountain View, CA · On-site

$57.75 - $77.75/hr

Engineer for production quality: Testing, performance profiling, reliability patterns ... Differentiating Capabilities Experience with geometry/CAD ingestion or computational geometry ...

Sapsol Technologies Inc

C++ Developer

Mountain View, CA · On-site

$57.75 - $77.75/hr

... Engineer for production quality: Testing, performance profiling, reliability patterns ... Differentiating Capabilities • Experience with geometry/CAD ingestion or computational geometry ...

Open Orion

ML Engineer

San Francisco, CA · On-site

This role offers direct influence over the company's technical direction and product development ... networks • Familiarity with computational geometry concepts meshes, BREP/NURBS, surface ...

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

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Director Computational Geometry Developer information

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$47K

$136.3K

$310K

How much do director computational geometry developer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director computational geometry developer in the United States is $136,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director computational geometry developer, and how can they be effectively addressed?

A Director Computational Geometry Developer often contends with complex algorithmic problems, ensuring scalability and efficiency while balancing project timelines. Collaboration across multidisciplinary teams—such as software engineers, mathematicians, and product managers—can also present communication challenges, especially when translating technical concepts into actionable plans. Staying updated with the latest research and integrating new developments into existing workflows is essential for maintaining a competitive edge. Proactively fostering a culture of knowledge-sharing and using agile methodologies can help streamline problem-solving and innovation in this role.

What are the key skills and qualifications needed to thrive as a director computational geometry developer, and why are they important?

To thrive as a Director Computational Geometry Developer, you need advanced knowledge of computational geometry, strong programming skills (often in C++, Python, or Java), and experience leading software development teams, typically supported by a relevant advanced degree. Familiarity with geometric modeling libraries, CAD systems, and version control tools is commonly required, along with project management methodologies. Exceptional problem-solving, leadership, and communication skills help drive innovation and coordinate complex projects across multidisciplinary teams. These skills and qualities are critical to ensure the successful delivery of robust geometry solutions, effective team management, and alignment with organizational goals.

What is the difference between Director Computational Geometry Developer vs Computational Geometry Developer?

AspectDirector Computational Geometry DeveloperComputational Geometry Developer
CredentialsBachelor's or Master's in Computer Science, often with leadership experienceBachelor's or Master's in Computer Science or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, algorithm development, and technical problem-solving
Industry UsageUsed in companies requiring strategic oversight of geometry algorithmsCommon in R&D, software development, and research roles
Search & Comparison IntentUnderstanding leadership roles in computational geometryTechnical development and algorithm implementation

The main difference is that the Director Computational Geometry Developer oversees teams and projects, focusing on strategic management, while the Computational Geometry Developer concentrates on technical algorithm development and coding. Both roles require strong expertise in computational geometry, but their responsibilities and focus areas differ significantly.

What does a director computational geometry developer do?

A Director Computational Geometry Developer leads teams that design and implement algorithms to solve problems involving geometric data, such as 3D modeling, computer graphics, and CAD systems. They oversee the development of software tools and frameworks that process, analyze, and visualize complex geometric structures. Their responsibilities often include project management, architectural decisions, and ensuring that solutions are efficient and accurate. Additionally, they collaborate with other departments and stakeholders to align computational geometry applications with organizational goals.
What cities are hiring for Director Computational Geometry Developer jobs? Cities with the most Director Computational Geometry Developer job openings:
What are the most commonly searched types of Computational Geometry Developer jobs? The most popular types of Computational Geometry Developer jobs are:
What states have the most Director Computational Geometry Developer jobs? States with the most job openings for Director Computational Geometry Developer jobs include:
Director Computational Geometry Developer jobs near you

AI Engineer, Vision & Foundation Models, Optimus

Tesla

Palo Alto, CA • On-site

Full-time

Re-posted 12 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 680 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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