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Biomedical Engineer 3D Printing Jobs in Riverside, CA

Stryker

Senior R&D Engineer- Mechanical NPD

Irvine, CA

$89K - $148K/yr

Mechanical Engineering or Biomedical plus 2+ years of relevant work experience. Preferred ... Knowledge of Machine Shop and 3D printing practices. * Knowledge of Medical Device Manufacturing ...

Stryker

Senior R&D Engineer- Mechanical NPD

Irvine, CA · On-site

$89K - $148K/yr

Mechanical Engineering or Biomedical plus 2+ years of relevant work experience. Preferred ... Knowledge of Machine Shop and 3D printing practices. * Knowledge of Medical Device Manufacturing ...

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Biomedical Engineer 3D Printing information

See Riverside, CA salary details

$42.8K

$98.9K

$146.1K

How much do biomedical engineer 3d printing jobs pay per year?

As of Jul 30, 2026, the average yearly pay for biomedical engineer 3d printing in Riverside, CA is $98,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $121,000.00 per year, depending on experience, location, and employer.

What does a Biomedical Engineer specializing in 3D printing do?

A Biomedical Engineer specializing in 3D printing uses advanced additive manufacturing technologies to design and create medical devices, prosthetics, implants, and tissue scaffolds. They work closely with healthcare professionals to develop customized solutions that improve patient outcomes. Their responsibilities often include computer-aided design (CAD), selecting appropriate biomaterials, and ensuring that printed products meet regulatory and safety standards. This field requires a combination of engineering, biology, and material science expertise.

How does a Biomedical Engineer specializing in 3D Printing typically collaborate with clinicians and researchers during the product development process?

Biomedical Engineers in 3D Printing often work closely with clinicians and researchers to understand clinical needs, gather anatomical data, and refine prototypes. This collaboration ensures that the custom devices or models meet both medical requirements and regulatory standards. Regular interdisciplinary meetings, feedback sessions, and iterative design reviews are common, fostering a dynamic environment where engineering solutions are aligned with real-world healthcare challenges. Effective communication and teamwork are crucial in translating medical concepts into functional 3D-printed products.

What are the key skills and qualifications needed to thrive as a Biomedical Engineer in 3D Printing, and why are they important?

To thrive as a Biomedical Engineer specializing in 3D printing, you need a solid background in biomedical engineering principles, CAD modeling, and materials science, typically supported by a relevant engineering degree. Proficiency with 3D printing technologies, such as FDM, SLA, and SLS, as well as familiarity with software like SolidWorks and experience with regulatory standards, is often required. Strong problem-solving, creativity, and effective communication skills distinguish top performers in this role. These competencies are crucial for designing innovative medical devices, ensuring product safety, and collaborating across multidisciplinary teams to advance healthcare solutions.
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Biomedical Engineer 3D Printing jobs near you

Computer Vision Engineer - 3D

Stark Pharma Solutions Inc

Irvine, CA • On-site

$119K - $141K/yr

Contractor

Re-posted 22 days ago

Job description

Hi,

My name is Karthik Mutyala, and I am a Recruitment Manager with Stark Pharma Solutions, specializing in opportunities across the Pharmaceutical, Biotechnology, Medical Device, and Life Sciences industries.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.

Role: 3D Data Scientist / Computer Vision Engineer

Location: Irvine, CA (Hybrid)

Duration: 12-Month Contract

Schedule: Monday – Friday | 8:00 AM – 5:00 PM PST

Position Overview

We are seeking a highly skilled 3D Data Scientist / Computer Vision Engineer to support the development and validation of advanced 3D imaging technologies within a cutting-edge digital health and aesthetics environment. This role will focus on validating 3D facial capture systems, developing novel 3D digital biomarkers, and applying machine learning techniques to complex 3D datasets.

The ideal candidate combines expertise in data science, computer vision, machine learning, and 3D modeling technologies, with the ability to translate complex data into clinically meaningful insights.

Key Responsibilities

3D Imaging & Validation

  • Lead validation activities for 3D facial capture and imaging systems.
  • Design and execute validation studies to evaluate accuracy, reproducibility, and performance across diverse datasets.
  • Develop quantitative testing methodologies and statistical frameworks to assess 3D image quality and geometric precision.
  • Document findings and communicate results to technical and business stakeholders.
  • Computer Vision & Digital Endpoint Development
  • Develop and validate novel 3D digital measurements and biomarkers from facial imaging data.
  • Create scalable workflows for processing, analyzing, and extracting features from 3D meshes, point clouds, and photogrammetry data.
  • Support the development of clinically relevant outcome measures using advanced image analysis techniques.
  • Establish best practices for data preprocessing, quality control, and feature engineering.
  • Machine Learning & Data Science
  • Build, train, and evaluate machine learning models using 3D imaging datasets.
  • Apply computer vision, geometric deep learning, and statistical modeling techniques to solve complex analytical challenges.
  • Benchmark model performance and optimize algorithms for robustness, accuracy, and scalability.
  • Collaborate with software, engineering, and scientific teams to deploy and improve analytical solutions.
  • Cross-Functional Collaboration
  • Partner with imaging specialists, software engineers, clinicians, and product teams to define technical requirements and project goals.
  • Support research initiatives and contribute to innovation in digital health, imaging, and computer vision technologies.
  • Stay current with emerging trends in AI, machine learning, computer vision, and 3D data science.

Required Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Computer Vision, Biomedical Engineering, Machine Learning, or a related quantitative field.
  • 3+ years of experience in Data Science, Machine Learning, Computer Vision, or related technical roles.
  • Strong proficiency in Python and data science frameworks such as NumPy, Pandas, SciPy, Scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience working with:
  • 3D Meshes
  • Point Clouds
  • Depth Maps
  • Photogrammetry Data
  • Experience with 3D visualization, rendering, or modeling tools such as Blender, Autodesk Maya, or similar platforms.
  • Strong background in statistical analysis, validation methodologies, and experimental design.
  • Excellent communication and technical documentation skills.