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Biomedical Design Jobs in California (NOW HIRING)

Apple

Biomedical Research Engineer

Cupertino, CA

$129K - $225K/yr

In this role, the candidate will be expected to independently design and develop research platforms ... Coherent light sensing for biomedical applications. Stochastic modeling methods for light-tissue ...

Apple

Biomedical Sensor Architect

Cupertino, CA · On-site

The successful candidate will be able to leverage training in optical system design, modeling and ... PhD in Biomedical or Optical Engineering. 2+ years of industry experience in related field.

Apple

Biomedical Research Engineer

Cupertino, CA

$184K - $324K/yr

In this role, the candidate will be expected to independently design and develop research platforms ... PhD in Biomedical, Optical Engineering or related field. Minimum Qualifications In-depth ...

Apple

Biomedical Research Engineer

Cupertino, CA · On-site

Conversant in cross-functional aspects of system design; mechanical tolerance of system, sources of electrical noise. MS/PhD in Biomedical, Optical Engineering or related field.

Apple

Biomedical Research Engineer

Cupertino, CA · On-site

Conversant in cross-functional aspects of system design; mechanical tolerance of system, sources of electrical noise. PhD in Biomedical, Optical Engineering or related field.

Apple

Biomedical Sensor Architect

Cupertino, CA

$129K - $225K/yr

The successful candidate will be able to leverage training in optical system design, modeling and ... PhD in Biomedical or Optical Engineering. 2+ years of industry experience in related field. Minimum ...

Apple

Biomedical Sensor Architect

Cupertino, CA · On-site

The successful candidate will be able to leverage training in optical system design, modeling and ... PhD in Biomedical or Optical Engineering. 5+ years of industry experience in related field.

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Biomedical Design information

What is biomedical design?

Biomedical design is a multidisciplinary field focused on developing medical devices, equipment, and technologies that improve healthcare diagnosis, treatment, and patient care. Professionals in biomedical design combine principles from engineering, biology, and medicine to create innovative solutions such as prosthetics, imaging devices, implants, and diagnostic tools. The process often involves understanding clinical needs, prototyping, testing, and adhering to regulatory standards to ensure safety and effectiveness.

How to become a biomedical designer?

To become a biomedical designer, typically a bachelor's degree in biomedical engineering, mechanical engineering, or a related field is required. Gaining experience with CAD software, understanding medical device regulations, and developing strong problem-solving skills are important for success in this role.

What is the difference between Biomedical Design vs Biomedical Engineering?

AspectBiomedical DesignBiomedical Engineering
Required CredentialsBachelor's degree in biomedical design, product development, or related fieldsBachelor's or master's in biomedical engineering or related engineering disciplines
Work EnvironmentDesign labs, product development teams, manufacturing settingsResearch labs, hospitals, manufacturing, and clinical settings
Employer & Industry UsageMedical device companies, startups, design firmsHospitals, medical device manufacturers, research institutions

Biomedical Design focuses on creating and developing medical devices and products, emphasizing the design process, usability, and innovation. Biomedical Engineering involves applying engineering principles to develop medical technologies, often including research, testing, and clinical applications. While both roles collaborate closely, Biomedical Design centers on product aesthetics and functionality, whereas Biomedical Engineering emphasizes technical feasibility and performance.

What are the key skills and qualifications needed to thrive as a biomedical designer, and why are they important?

To thrive as a Biomedical Designer, you need a strong background in biomedical engineering principles, product design, and human physiology, typically supported by a relevant degree. Proficiency with CAD software, rapid prototyping tools, and knowledge of regulatory standards such as FDA or ISO is commonly required. Creativity, strong problem-solving abilities, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial for developing innovative, safe, and effective medical devices that improve patient outcomes.

What are some common challenges faced by professionals in biomedical design, and how can they be addressed?

Professionals in biomedical design often encounter challenges such as balancing innovation with strict regulatory requirements, ensuring effective communication between multidisciplinary teams, and designing products that meet both clinical needs and manufacturability standards. To address these, it's important to stay updated on regulatory guidelines, develop strong project management and collaboration skills, and engage with end-users early in the design process. Building a network of mentors and seeking feedback from clinicians can also help overcome technical and user-experience hurdles.

What are popular job titles related to Biomedical Design jobs in California?

For Biomedical Design jobs in California, the most frequently searched job titles are:

What job categories do people searching Biomedical Design jobs in California look for?

The top searched job categories for Biomedical Design jobs in California are:

Biomedical Design jobs near you
Infographic showing various Biomedical Design job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

BioMedical AI Research Engineer

Xaira Therapeutics

South San Francisco, CA

$227K - $295K/yr

Full-time

Re-posted 12 days ago

Job description

About the Role
We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.

This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.

Key Responsibilities

  • Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
  • Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
  • Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
  • Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
  • Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.
  • Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.
  • Evaluate robustness, reliability, and interpretability of autonomous systems in high-stakes biomedical settings.

Qualifications

  • Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
  • Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
  • Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
  • Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
  • Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).

Preferred

  • Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.
  • Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.
  • Understanding of privacy, security, and regulatory considerations in healthcare AI.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $227,000 - $295,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

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