# Senior Machine Learning Engineer, CAD Computational Design

**Company:** [Hike Medical](https://hotfix.jobs/companies/hike-medical)
**Location:** San Francisco, CA
**Role:** Other
**Salary:** $190k – $270k/yr
**Experience:** 5+ years
**Skills:** Parametric Cad, Procedural Cad, Rhino, Grasshopper, Onshape Api, Solidworks Api, Fusion Api, Nurbs, B-Rep, Meshing, Python, TypeScript, C++, Opencascade, Parasolid
**Posted:** 2026-07-07

> Build and lead parametric, procedural CAD pipelines for custom orthopedic and prosthetic devices. Translate clinical expertise into automated, rule-based design systems layered with AI, partnering closely with clinicians, designers, and ML engineers.

## Job Description

## What You'll Do
- Design and build parametric, procedural CAD pipelines that generate custom orthopedic devices from anatomical landmarks and clinical parameters.
- Partner with clinicians and design experts to extract domain knowledge and translate it into explicit parameter spaces, constraints, and rules that can be automated.
- Build a maintainable library of parametric components and design primitives that generalize across products and extend cleanly into new device categories (e.g., AFOs and other O&P devices).
- Collaborate with the AI team to define the interface between learned components (landmark estimation, parameter prediction) and the rule-based CAD layer.
- Develop geometric tooling — freeform surfaces, trimlines, top-surface estimation, offsets, and feature placement — that produces clinically correct, manufacturable geometry.
- Drive geometry programmatically through CAD/geometry APIs and kernels, moving beyond GUI-based workflows toward high-throughput, automated modeling.
- Own the bridge from design to manufacturing, ensuring outputs are printable and meet quality requirements, and helping automate design QC.

## What You'll Bring
**Required**
- 5+ years building parametric and procedural CAD systems, ideally in a product or manufacturing context.
- Strong programmatic CAD experience — scripting and automating geometry rather than driving a GUI (e.g., Rhino/Grasshopper, Onshape API, SolidWorks API, Fusion API, or similar).
- Solid command of geometric modeling fundamentals: NURBS, B-Rep, meshing, and surface/solid operations.
- Proficiency in Python, Typescript, C++ or any software programming language.
- A collaborative, translational mindset — comfortable sitting with non-engineers (clinicians, designers) and turning fuzzy expert intuition into precise, parameterized systems.
- Ability to thrive in an early-stage, fast-moving environment where the problem space is still being defined.

**Nice to Have**
- Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid).
- Experience with implicit geometric representations.
- Experience with simulation-in-the-loop design, shape optimization, or topology optimization.
- Familiarity with CAD interoperability standards (STEP, IGES, JT, or similar).
- Exposure to AI-driven or generative CAD workflows — enough to collaborate effectively with our AI team.
- Background in footwear, orthotics, prosthetics, dental, medical devices, or another domain that maps anatomy to custom physical products.

## Compensation
Competitive salary plus meaningful early-stage equity and benefits. (Range ~$190,000–$270,000 depending on experience and level.)

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