Top 404 Applied scientist Jobs in Cupertino, Ca

Entry-Level Scientist (Q-NEXT)
SLAC National Accelerator Laboratory —Menlo Park, CA
- $90,000 - $143,000 a year
- Temporary
- Bachelor of Science
- Data analysis skills
- Presentation skills
Research Scientist, Applied GAI-Vision
ByteDance —San Jose, CA
- $212,800 - $387,600 a year
- Mid-level
- Fair chance
- 2 years
- Paid parental leave
- Paid holidays
Research Scientist Graduate (Applied Machine Learning - ML System) - 2026 Start (PhD)
ByteDance —San Jose, CA
- $156,000 - $316,800 a year
- Computer Science
- Analysis skills
- Doctor of Philosophy
- Paid parental leave
- Paid holidays
Student Researcher, BS/MS, Fall 2026
Google —Mountain View, CA
- $98,000 - $131,000 a year
- Computer Science
- Bachelor of Science
- English
- Paid holidays
- Health insurance
11d
Senior Applied Scientist
Microsoft —Mountain View, CA
- $119,800 - $261,000 a year
- Full-time
- Hybrid work
- Background check
- Doctoral degree
- Computer Science
Experimental/Test/Application Scientist: Mass Spectrometry and MS Spectrometer
BaySpec, Inc. —San Jose, CA
- Email
- Bachelor of Science
- English
- Mid-level
Scientist, Organic Chemistry
Kodiak Sciences Inc. —Palo Alto, CA
- Full-time
- Doctor of Philosophy
- Senior level
- Communication skills
Applied Scientist
Adobe —San Jose, CA
- $120,700 - $238,600 a year
- Full-time
- Computer Science
- Master's degree
- Analysis skills
Machine Learning Research Engineer, Applied Research
WindBorne Systems —Palo Alto, CA
- $140,000 - $240,000 a year
- Full-time
- Office
- Senior level
- Communication skills
- Health insurance
- Dental insurance
Principal Applied Scientist, Music Catalog and Search, Amazon Music Search and Catalog
Amazon.com Services LLC —Sunnyvale, CA
- $228,700 - $309,400 a year
- Full-time
- Master's degree
- Doctor of Philosophy
- Mentoring
- AD&D insurance
- Health insurance
Sr Applied Scientist - Allocation Optimization - Remote
Cystems Logic Inc —San Jose, CA
- Contract
- Remote
- Math
- Senior level
- Python
Quick Apply
8d
Applied Scientist II, Amazon AWS Agentic AI, AWS AI Fundamental Research
Amazon Development Center U.S., Inc. —Santa Clara, CA
- $171,600 - $222,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
ICP-MS Laboratory Research Scientist
Stanford University —Stanford, CA
- $127,211 - $154,222 a year
- Overtime
- 3 years
- Ability to lift 50 pounds
- Analysis skills
Research Scientist, Demography and Survey Sciences
Meta —Menlo Park, CA
- $147,000 - $208,000 a year
- Writing skills
- Mid-level
- Analysis skills
Applied Research Engineer, Chip Design
NVIDIA —Santa Clara, CA
- $192,000 - $356,500 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 8 years
8d
Automation Workflow Scientist
Agilent Technologies Inc —Santa Clara, CA
- $128,928 - $201,450 a year
- Full-time
- Mid-level
- Master's degree
- Doctor of Philosophy
4h
Applied Research Scientist - Trust and Safety
TikTok —San Jose, CA
- $219,000 - $408,000 a year
- 5 years
- Office
- Fair chance
- Paid parental leave
- Paid holidays
Applied Research Scientist
Advanced Micro Devices, Inc —San Jose, CA
- Computer Science
- Master's degree
- Doctor of Philosophy
Senior Applied Scientist, Reinforcement Learning
Hippocratic AI —Menlo Park, CA
- Full-time
- Computer Science
- Office
- Doctor of Philosophy
2d
Applied Scientist II, Annapurna ML
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $171,600 - $222,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance

I want to receive the latest job alert for applied scientist in cupertino, ca

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

applied scientist jobs near cupertino, ca

Research Scientist jobs in San Jose, CA

Research Scientist jobs in Menlo Park, CA

Research Engineer jobs in Santa Clara, CA

Scientist jobs in Santa Clara, CA

Principal Applied Scientist jobs in Sunnyvale, CA

Machine Learning Engineer jobs in Palo Alto, CA

Machine Learning Engineer jobs in San Jose, CA

Applied Scientist jobs in San Jose, CA

Entry Level Scientist jobs in Menlo Park, CA

Research Scientist jobs in Wyoming

Research Scientist jobs in Colorado

Research Scientist jobs in Buffalo, NY

Environmental Scientist jobs in Durham, NC

Research Scientist jobs in New York, NY

Applied Scientist Ii jobs in North Reading, MA

Applied Scientist Ii jobs in San Diego, CA

Data Scientist jobs in Pittsburgh, PA

Scientist jobs in Cincinnati, OH

Associate Applied Science jobs in Remote

Applied Scientist Ii jobs in Redmond, WA

Entry-Level Scientist (Q-NEXT)

SLAC National Accelerator Laboratory -
Menlo Park, CA

Apply Now

Job Details

Temporary | Full-time
$90,000 - $143,000 a year

Qualifications

Engineering process optimization
Cleanroom protocols
Cleanroom experience

Full Job Description

SLAC Job Postings

Position Overview:

Q-NEXT ( is a multi-institutional organization dedicated to advancing quantum information science. As a co-leading institution, SLAC National Accelerator Laboratory plays important primary roles in Q-NEXT including serving as a superconducting quantum foundry with a dedicated newly constructed ISO 5 (Class 100) cleanroom. SLAC's Detector Microfabrication Facility (DMF) has begun installing its suite of tools optimized to produce some of the most advanced quantum sensors and devices in the world with well-controlled, high-yield, high-Q processes.

The Q-NEXT Department at SLAC is seeking outstanding candidates to establish a high-functioning team of scientists and engineers dedicated to the task of developing and refining superconducting fabrication processes and cryogenic testing capabilities. Treating fabrication as an experimental process and the cleanroom as a high-tech laboratory, the ideal candidates have a strong desire to solve long-standing superconducting fabrication challenges by creating new techniques and standards.

Your specific responsibilities include:

Assist in superconducting fabrication for high-yield quantum devices
Contribute to process development for fabrication of quantum devices
Support metrology and detailed analysis of fabrication data
Participate in cryogenic testing of superconducting devices with dilution refrigerator and microwave electronics
Assist in understanding device physics through correlation of cryogenic and in-situ measurements
Contribute to training and developing fabrication teams for higher throughput operation
Provide hands-on customization and troubleshooting of fabrication tools
Support the publication of scientific papers and presentations of findings at conferences
Collaborate with outside scientists and engineers to develop fabrication and testing plans

Note: This is a 24-month fixed term position with the possibility of extension or conversion to regular continuing position contingent on project fundings and business needs.

To be successful in this position you will bring:

BS, MS, or equivalent in physics, applied physics, chemistry, electrical engineering, or related fields with relevant experience in superconducting device fabrication
Fundamental knowledge and practical experience with clean room tools, vacuum system hardware, and supporting systems
Basic experience with cryogenic systems and superconducting device characterization testing for fabrication process development
Familiarity with process development and optimization, metrology, and device characterization methods
Experience with quantum bits, parametric amplifiers, resonators, kinetic inductance detectors, transition edge sensors, SQUIDs, or similar devices is a plus
Effective communication and writing skills for preparing and presenting technical and scientific documentation
Ability to work and communicate effectively with a diverse population
Ability to collaborate in a team environment

SLAC Employee Competencies:

Effective Decisions: Uses job knowledge and solid judgment to make quality decisions in a timely manner.
Self-Development: Pursues a variety of venues and opportunities to continue learning and developing.
Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.
Relationships: Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.

Physical Requirements and Working Conditions:

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.
Given the nature of this position, SLAC will require onsite work full time.

Work 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 environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1¿General Policy and Responsibilities:
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,
As a national laboratory, SLAC National Accelerator Laboratory is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require employees to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Classification Title: Entry-Level Scientist

Grade: I

Job Code: 1091

Duration: Fixed Term

The expected pay range for this position is $90,000 to $143,000 per annum. SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

Apply Now

Refine Your Search

applied scientist jobs in cupertino, ca

Entry-Level Scientist (Q-NEXT)

Research Scientist, Applied GAI-Vision

Research Scientist Graduate (Applied Machine Learning - ML System) - 2026 Start (PhD)

Student Researcher, BS/MS, Fall 2026

Senior Applied Scientist

Experimental/Test/Application Scientist: Mass Spectrometry and MS Spectrometer

Scientist, Organic Chemistry

Applied Scientist

Machine Learning Research Engineer, Applied Research

Principal Applied Scientist, Music Catalog and Search, Amazon Music Search and Catalog

Sr Applied Scientist - Allocation Optimization - Remote

Applied Scientist II, Amazon AWS Agentic AI, AWS AI Fundamental Research

ICP-MS Laboratory Research Scientist

Research Scientist, Demography and Survey Sciences

Applied Research Engineer, Chip Design

Automation Workflow Scientist

Applied Research Scientist - Trust and Safety

Applied Research Scientist

Senior Applied Scientist, Reinforcement Learning

Applied Scientist II, Annapurna ML

I want to receive the latest job alert for applied scientist in cupertino, ca

Related Searches

Explore jobs in more locations

SLAC Job Postings

Job Seeker Tools

Employer Tools

Browse

Stay Connected