ZipRecruiter

Log In

1

Computational Geometry Software Engineer Jobs (NOW HIRING)

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site

$150K - $250K/yr

... geometry generation algorithms for PCBs - Computational geometry and spatial data structures ... optimization - Solid software engineering fundamentals - Ability to see the big picture and ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

... geometry generation algorithms for PCBs - Computational geometry and spatial data structures ... optimization - Solid software engineering fundamentals - Ability to see the big picture and ...

Formlabs

Software Engineer - Print Pipeline

Somerville, MA · On-site

$120K - $170K/yr

Software Engineering **Location:** Somerville, MA---Do you want to change how the world creates?At ... Experience developing 3D graphics or computational geometry**Bonus Skills:*** Experience with solid ...

previous pagenext page

Showing results 21-40

All JobsComputational Geometry Software Engineer Jobs

Computational Geometry Software Engineer information

What does a computational geometry software engineer do?

A Computational Geometry Software Engineer designs, develops, and optimizes algorithms that solve geometric problems, such as those involving shapes, spatial data, or geometric modeling. These professionals often work on applications in computer graphics, robotics, CAD systems, GIS, and scientific computing. Their work involves a deep understanding of both computer science and mathematics to efficiently process and analyze geometric data. They also collaborate with other engineers and domain experts to integrate geometric algorithms into larger software systems.

What are the key skills and qualifications needed to thrive as a computational geometry software engineer?

A Computational Geometry Software Engineer needs strong skills in mathematics (particularly geometry and algorithms), computer science fundamentals, and a relevant degree in a STEM field. Proficiency with programming languages like C++ or Python, experience with computational geometry libraries (such as CGAL), and familiarity with development tools are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and conveying technical concepts. Mastering these abilities ensures accurate algorithm implementation, efficient collaboration, and the delivery of robust geometric software solutions.

What are some common challenges faced by computational geometry software engineers when working on large-scale projects?

Computational Geometry Software Engineers often encounter challenges related to optimizing algorithms for efficiency and scalability, especially when processing large datasets or high-dimensional data. Integrating complex geometric algorithms into existing software systems requires close collaboration with other engineers, as well as careful testing to ensure numerical stability and accuracy. Additionally, staying current with the latest research and adapting cutting-edge solutions to practical, real-world problems is an ongoing aspect of the role. Regular communication with team members and stakeholders is essential to ensure the software meets both technical and user requirements.

What is the difference between Computational Geometry Software Engineer vs Computer Graphics Software Engineer?

AspectComputational Geometry Software EngineerComputer Graphics Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Mathematics, or related fieldBachelor's or Master's in Computer Science, Graphics, or related field
Work EnvironmentResearch labs, software development firms, tech companies focusing on algorithmsMedia, gaming, visualization, and entertainment industries
Industry UsageUsed in CAD, GIS, robotics, and spatial data processingUsed in gaming, film, virtual reality, and visualization

While both roles involve advanced programming and mathematical skills, Computational Geometry Software Engineers focus on algorithms for spatial data and geometric computations, whereas Computer Graphics Software Engineers specialize in rendering, visual effects, and image processing. The roles often overlap in technical skills but serve different industry needs.

What are popular job titles related to Computational Geometry Software Engineer jobs?

For Computational Geometry Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Computational Geometry Software Engineer job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 2% Internship, 71% Full Time, 24% Part Time, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.

AI and Computational Geometry Engineer

Emeryville, CA • On-site

Atomic Machines
Computer and Electronic Product Manufacturing • 1 - 10 employees
Learn more about Atomic Machinesexternal

Full-time

Posted 26 days ago

Job description

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital-but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device-made possible only through the Matter Compiler™ technology platform-that we will be unveiling to the world soon.
Our offices are in Emeryville and Santa Clara, California.
About The Role:
The Matter Compiler will take a device design and produce a physical part without the manual translation steps. Design for manufacturing (DFM) is where that translation happens, and it is currently human work: an engineer reasons about how a part must be arranged, held, and processed, and encodes that judgment one design at a time.
This role owns that reasoning as software. It is the DFM function inside the Atomic Machines CAM stack, the engineering discipline of turning device geometry into manufacturable geometry under real process constraints, generally rather than case by case.
The scope is the full DFM layer: the geometry between a device model, the workpiece, and the machine processes, including how parts are arranged on a blank and held in place during cutting; the DFM rules for each process and material the platform supports; the constraints and checks that tell a designer a part cannot be made as drawn; and the physical models that ground those rules in what the processes do to the part.
The engineer in this role is the person on the team who thinks in manufacturing constraints and writes code that respects them. Design engineers bring geometry that cannot yet be built. Process engineers bring results from the machine that the rules did not predict. The person in this role connects those two and works inside a cross-functional team spanning AI, Modeling and Simulation, Design, and Process Engineering.
What You'll Do:
  • DFM as a software capability. The algorithms, representations, and constraints that convert device geometry into geometry a process can execute. This covers part arrangement on a blank, retention during processing, and release afterward, and it expands as we add processes.
  • Manufacturability constraints in the design loop. Encoding what our processes can and cannot do, so infeasibility surfaces at design time rather than at the machine.
  • The bridge between process intuition and code. Working directly with design and process engineers to elicit the judgment they apply by hand, formalize it, and make it auditable and testable.
  • Physical grounding. Moving DFM decisions from heuristics toward criteria based on the mechanics of the process, with our Modeling and Simulation team.
  • Validation against reality. Defining what correct means for a layout, testing against fab runs, and folding failures back into the constraints and models.
  • The knowledge base. Turning our production history into a structured record that supports calibration, regression testing, and eventually learned components.

What You'll Need:
  • This posting is not tied to a specific level and spans early career through Staff, or L4 to L6. Candidates should have a minimum of 5 years of relevant industry experience or a PhD in a related field.
  • Practical DFM experience, demonstrated by work where you wrote code that generates geometry under real manufacturing constraints. Relevant examples include slicer or toolpath software for additive manufacturing, non-standard toolpathing strategies such as continuously self-supporting structures, design software for sheet metal stamping or other tool and die applications, PCB or lead frame layout, or comparable design automation work where geometry is constrained by physics rather than by convention.
  • Working computational geometry ability: 2D boolean operations, polygon offsetting, packing and no-fit-polygon style reasoning.
  • Strong software engineering: Python plus a systems language, and comfort driving geometry kernels and libraries through their APIs (Shapely, Clipper, OpenCascade, CGAL, or similar).
  • A clear demonstration of working productively on novel, poorly specified problems. A PhD is one way to show this. Open source contributions, patents, or industry work on greenfield problems count equally.
  • Willingness to ground your work in physical evidence from the fab, and to iterate with the engineers running the process.
  • Bachelor's, Master's, or PhD in Mechanical Engineering, Computer Science, Applied Math, Computational Design, or a related field.

Bonus Points For:
  • Exposure to laser micromachining or other subtractive micro-scale processes: kerf, heat-affected zone, tabbing, part release.
  • Enough mechanics background to reason about part stability during processing, or the interest to build that with our Modeling and Simulation team.
  • Combinatorial and geometric optimization, using MILP, constraint programming, or metaheuristics.
  • Machine learning on geometric data, for example learned models over meshes or B-rep graphs, neural fields, or learning from expert demonstration. This is a growth direction for the role, not an entry requirement.
  • Experience placing heuristic or learned components inside a deterministic, auditable pipeline, including validation and fallback behavior.
  • Familiarity with CAE tools (e.g., Comsol, Ansys, Abaqus).
  • Contributions to open-source geometry or manufacturing software.

The compensation for this position also includes equity and benefits.
Salary Range
$200,000-$250,000 USD

Apply