Top 207 Interdisciplinary engineer Jobs in San Jose, Ca

Research Engineer, GUIDE-AI
Stanford University —Stanford, CA
- Extended hours
- Hybrid work
- Management
- 5 years
- System design
Member of Technical Staff
Axiom Math —Palo Alto, CA
- Full-time
- Neurology
- Senior level
Speech-Language Pathologist
Brain And Body Autism Center —Sunnyvale, CA
- $100,000 - $130,000 a year
- Full-time
- Background check
- Research
- Experience working with children
- Health insurance
- Dental insurance
Quick Apply
AI Data Center High-Speed Interconnect Architect
BizLink —Fremont, CA
- Online Application
- Master's degree
- Senior level
- Electrical Engineering
Senior Mechanical Engineer - HVAC
Everforth —San Jose, CA
- $115,000 - $155,000 a year
- Full-time
- 7 years
- Management
- Master's degree
- Dental insurance
- 401(k)
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Nanoscientist
Subsense —Mountain View, CA
- $110,000 - $130,000 a year
- Full-time
- English
- Doctor of Philosophy
- Entry level
Quick Apply
7d
Mechatronics and Robotics Engineering Associate
Stanford University —Stanford, CA
- $132,996 - $157,641 a year
- Overtime
- 6 years
- Engineering
- Team management
Senior Automation Engineer
Altos Labs —Redwood City, CA
- $167,400 - $204,100 a year
- Bachelor of Science
- Engineering
- System design
Software Engineer
Google —Mountain View, CA
- $149,400 - $211,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Mid-level
10d
Data Scientist, RegLab, Stanford Law School
Stanford University —Stanford, CA
- $73,490 - $100,000 a year
- Online Application
- Hybrid work
- Computer Science
- Writing skills
- Microsoft Office
9d
Lead Epi Engineer
Coherent Corp. —Fremont, CA
- $100,625 - $172,250 a year
- 8 hour shift
- 5 years
- Writing skills
- Office
Project Specialist
Stanford University —Stanford, CA
- $96,000 - $112,000 a year
- Full-time
- Hybrid work
- Mid-level
- University
- Bachelor's degree
1d
Senior Lab Operations Manager, DeepMind
DeepMind —Mountain View, CA
- $256,000 - $279,000 a year
- Full-time
- Google Workspace
- 8 years
- Bachelor's degree
Specialist Humanoid Tele-Operator, DeepMind
DeepMind —Mountain View, CA
- $108,000 - $153,000 a year
- Full-time
- Mid-level
- Analysis skills
- Mentoring
14d
Research Engineer, Humanoids, DeepMind
DeepMind —Mountain View, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Facilities Systems Engineer
Stanford Health Care —Menlo Park, CA
- $52.69 - $69.82 an hour
- Online Application
- Hospital
- Bachelor of Science
- Engineering
Test Engineer, Product Qualification
Mainspring Energy —Menlo Park, CA
- $108,000 - $123,600 a year
- Mid-level
- 3 years
- Master's degree
Quick Apply
Mechanical Engineer
Triple Ring Technologies —Newark, CA
- $85,000 - $100,000 a year
- Hybrid work
- Bachelor of Science
- Analysis skills
- Communication skills
- Paid holidays
- Health insurance
Quick Apply
Staff Functional Safety Engineer, Robotics, DeepMind
DeepMind —Mountain View, CA
- $256,000 - $279,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Technical Program Manager, Model Launches, AI Studio, DeepMind
DeepMind —Mountain View, CA
- $256,000 - $279,000 a year
- Full-time
- 8 years
- Bachelor's degree
- Experience equivalent to degree accepted

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Research Engineer, GUIDE-AI

Stanford University -
Stanford, CA

Apply Now

Job Details

Full-time

Qualifications

Data model design
Software engineering
Management
Engineering development testing
Data modeling projects
Team leadership
System design
Application deployment
System design for system development
Research project technical leadership
System testing
Leading team collaboration initiatives
System deployment
Project Development
Project leadership
Design (software development lifecycle)
Cross-functional communication

Full Job Description

Are you passionate about advancing healthcare through innovative methods and cutting-edge technology? Do you have experience working across stakeholder groups to build and implement health AI solutions that directly impact clinical care? If so, Stanford University invites you to join GUIDE-AI within the Computational Medicine division as a Research Engineer to shape how AI is developed, evaluated, and deployed in healthcare.

GUIDE-AI (Guidance for the Use, Implementation, Development, and Evaluation of AI) is a Stanford Medicine initiative that spans Stanford University and Technology and Digital Solutions at Stanford Health Care. The key tenets under GUIDE-AI's mission are:

Building and deploying healthcare AI solutions to address key opportunities to advance clinical care.
Establishing evaluation and monitoring methods to assess deployed AI tools at Stanford Health Care and beyond.
Disseminating actionable learnings to support high-value AI-augmented care for all.

As a Research Engineer for GUIDE-AI, you will lead technical development across a portfolio of healthcare AI projects, owning everything from data pipeline design to model evaluation and deployment. You will manage and/or work with technical teams across Stanford University, Stanford Health Care, and external partners to create scalable, collaboratively developed methods and tools. Potential projects may include developing innovative monitoring and evaluation methods, patient eligibility-matching tools, and generative and agentic systems to streamline clinical care delivery.

Beyond development, you will contribute to statistical analyses, prospective AI evaluation designs, and grant proposals, shaping study methodologies and supporting funding applications to advance GUIDE-AI’s mission. Additionally, you will play a key role in mentoring trainees and students, maintaining well-documented code repositories, and driving long-term strategic initiatives for AI evaluation in healthcare.

Duties include:

Conceptualize design, implement, and develop solutions for complex system/programs independently, such as developing and implement Python and SQL-based tools for AI evaluation.
Engage in long-term strategic planning in collaboration with staff and project leadership.
Work with a variety of users to gain information, and develop intra-system tradeoffs between different users, as necessary; interact with a diverse client base and outside vendor contacts.
Document system builds and application configurations; maintain and update documentation as needed.
Provide technical analysis, design, development, conversion, and implementation work.
Work as a project leader, as needed, for projects of moderate complexity.
Serve as a technical resource for grant applications.
Contribute to statistical analyses, prospective AI evaluation designs, and grant proposals, shaping study methodologies, constructing statistical plans, and supporting funding applications to advance GUIDE-AI’s mission
Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment.
Follow team software development methodology.
Mentor lower-level software developers, including trainees and students

Qualifications:

DESIRED QUALIFICATIONS:

Proficiency in Python and SQL, with hands-on experience in data analysis, statistical modeling, and AI evaluation.
Expertise in developing and implementing algorithms (e.g., neural networks, clustering, embedding models).
Expertise in full-cycle application development, including design, testing, deployment, and optimization.
Strong analytical and problem-solving skills, with the ability to define and address complex technical challenges.
Effective communicator, able to collaborate with both technical and non-technical stakeholders.
Proven ability to lead structured team development projects, ensuring efficient workflows and high-quality outcomes.
Solid foundation in probability and statistics, including power analysis, hypothesis testing, and uncertainty quantification (e.g., constructing confidence intervals, bootstrapping).
Experience in AI model evaluation, including performance metric selection, fairness and bias assessment, and data visualization.
(Preferred) Direct collaboration with clinicians, evidenced by first-author publications in medical journals and/or co-development of clinically-facing tools.
(Preferred) Experience with real-world clinical data models and standards (e.g., FHIR, OMOP) is strongly preferred.
(Preferred) Experience monitoring deployed AI tools, including performance drift detection, alerting, and iterative model updating.
(Preferred) Experience with prospective AI evaluations, including clinical trial design, real-world validation, and sample size estimation.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

Expertise in designing, developing, testing, and deploying applications.
Proficiency with application design and data modeling.
Ability to define and solve logical problems for highly technical applications.
Effective communication skills with both technical and non-technical clients.
Ability to lead activities on structured team development projects.
Ability to select, adapt, and effectively use a variety of programming methods.
Knowledge of application domain.

PHYSICAL REQUIREMENTS:

Constantly perform desk-based computer tasks.
Frequently sit, grasp lightly/fine manipulation.
Occasionally stand/walk, writing by hand.
Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds.

WORKING CONDITIONS:

May work extended hours, evening and weekends.
Travel on campus to school/units

WORKING STANDARDS:

Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/ .

Apply Now

Refine Your Search

interdisciplinary engineer jobs in san jose, ca

Research Engineer, GUIDE-AI

Member of Technical Staff

Speech-Language Pathologist

AI Data Center High-Speed Interconnect Architect

Senior Mechanical Engineer - HVAC

Nanoscientist

Mechatronics and Robotics Engineering Associate

Senior Automation Engineer

Software Engineer

Data Scientist, RegLab, Stanford Law School

Lead Epi Engineer

Project Specialist

Senior Lab Operations Manager, DeepMind

Specialist Humanoid Tele-Operator, DeepMind

Research Engineer, Humanoids, DeepMind

Facilities Systems Engineer

Test Engineer, Product Qualification

Mechanical Engineer

Staff Functional Safety Engineer, Robotics, DeepMind

Technical Program Manager, Model Launches, AI Studio, DeepMind

I want to receive the latest job alert for interdisciplinary engineer in san jose, ca

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