Sr. 3D C++ Software Engineer (On-site)

Envista Dentistry•Pomona, CA

5d•Onsite

About The Position

We are hiring a Sr. 3D C++ Software Engineer who is genuinely strong in applied math, understands the physics behind manufactured parts and processes, and can turn that reasoning into production-grade C++. You will work on the core algorithms and services that bridge CAD to CAM: geometry processing, numerical optimization, physical constraint modeling, and the software interfaces that let those models run reliably in production. You should be comfortable moving from formulating a problem from first principles to shipping the implementation without handholding. If deriving a normal from three points on a triangle, reasoning about numerical stability, or solving a nonlinear equation numerically feels outside your daily toolkit, this is likely not the right role. At this production volume, a solver running at 99.9% reliability still generates roughly 100 support escalations per day. Correctness isn't a quality bar — it's a throughput constraint. This is a full-time and on-site five days/week engineering role in Pomona, CA. Rapid development here depends on being next to the hardware and the people using it. You will work directly with R&D equipment such as scanners, 3D printers, CNC systems, and metrology tools, shortening the loop between idea, code, experiment, measurement, and revision from weeks to days.

Requirements

Bachelor’s degree in computer science, a related technical field, or equivalent practical experience.
5+ years of professional software development experience, including substantial work in large modern C++ codebases.
Deep fluency in 3D geometry, linear algebra, numerical methods, and optimization. You should be able to reason from first principles.
Experience in the physics that sit underneath geometric or manufacturing problems, with the judgment to translate continuous models into stable discrete implementations.
Demonstrated ability to formulate and implement mathematically demanding algorithms in production-quality C++ with attention to correctness, performance, memory behavior, and maintainability.
Experience building software for computational geometry, CAD/CAM, scientific computing, graphics, robotics, simulation, or another domain where math and physical constraints materially shape the solution.
Must reside within a commutable distance to Pomona, CA. This is not a remote or hybrid opportunity.

Nice To Haves

Hands-on experience with libraries such as CGAL, Eigen, Embree, VTK, or Draco.
Experience with ICP or point cloud registration is a strong plus.
Strong command of modern C++20, including the engineering judgment to build reliable abstractions around complex numeric code.
Experience using Python for fast numerical prototyping and using Go where backend integration benefits from it.
Familiarity with gRPC, Protobuf, Bazel, Conan, Docker, Helm, and AWS Kubernetes for shipping compute-heavy services.
Experience instrumenting production systems with OpenTelemetry, Prometheus, Loki, Clickhouse, or Grafana.
Direct work with manufacturing or lab equipment such as CNC machines, 3D printers, scanners, vision systems, or metrology tools.
Basic project management experience, good organization, and prioritization skills
Must possess excellent communication (technical, oral, written) and the ability to describe complex technical issues clearly.
Able to follow instructions and guidelines set forth by the Manager.
Driven and motivated individual with demonstrated critical thinking and analytical skills.
Ability to discern trends and analyze operational and financial reports.
Under general supervision, plan, conduct, lead, and report on significant projects.
Review progress, evaluate results, and inform company management on assigned project direction and status.
A team player that can work well under constrained deadlines and communicate effectively with technical and non-technical personnel.
Follows directions well and is a self-starter in identifying what is critical to the success of the project.
Ability to communicate complex technical concepts clearly to software, manufacturing, R&D, and operations stakeholders.
Ability to reason from first principles and make sound engineering judgments in math-heavy software systems.
Ability to prioritize technical work in a production manufacturing environment where correctness, reliability, and throughput matter.
Ability to work independently on ambiguous technical problems and drive them from formulation through implementation and validation.
Ability to collaborate effectively with cross-functional teams, including R&D, Manufacturing Engineering, Operations, and Quality.
Ability to follow applicable safety, quality, regulatory, and compliance procedures when working near R&D or manufacturing equipment.
Ability to travel at least 10% of the time to various manufacturing sites, both domestically and internationally, to oversee process implementation and provide on-site support.

Responsibilities

Build the mathematical core: Formulate, design, and implement algorithms for 3D geometry processing, numerical optimization, spatial reasoning, and CAD/CAM translation in a production manufacturing environment.
Model physical constraints in software: Turn real-world process behavior, machine limits, material effects, and measurement data into robust computational models that survive contact with actual hardware.
Write expert-level C++: Develop high-performance, maintainable C++20 systems for compute-heavy workloads where correctness, numerical robustness, and runtime behavior all matter.
Prototype with purpose: Use Python, NumPy, SciPy, and related tools when they speed up discovery, then harden the right ideas into production services.
Run tight hardware-software loops: Work side by side with R&D and Operations to test algorithms on equipment, inspect outputs, understand failure modes, and iterate quickly based on measured results.
Ship math in real systems: Package algorithms behind gRPC and Protobuf interfaces, operate within Bazel- and Conan-based builds, and make sound choices about how compute-heavy services run in Docker and AWS Kubernetes environments.
Any duties or tasks assigned by Manager.