Top 383 Applied scientist Jobs in Cupertino Ca

Principal Applied Scientist, ML Codesign
Amazon.com Services LLC —Sunnyvale, CA
- $228,700 - $309,400 a year
- Full-time
- Computer science
- 8 years
- Fair chance
- AD&D insurance
- Health insurance
12d
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Amazon.com Services LLC —Sunnyvale, CA
- $183,800 - $260,000 a year
- Full-time
- 5 years
- Fair chance
- Senior level
- AD&D insurance
- Health insurance
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Amazon.com Services LLC —Sunnyvale, CA
- $183,800 - $260,000 a year
- Full-time
- 5 years
- Fair chance
- Senior level
- AD&D insurance
- Health insurance
Multiphysics Modeling Research Positions for Materials and Processing at NASA Ames
NASA Ames Research Center —Mountain View, CA
- $75,000 - $140,000 a year
- Full-time
- Doctoral degree
- Math
- US work authorization
Quick Apply
Embodied AI Researcher (R&D Lab)
LG Electronics —Santa Clara, CA
- $150,000 - $210,000 a year
- Full-time
- Hybrid work
- Computer Science
- 3 years
- Master's degree
- Paid parental leave
- Paid holidays
Quick Apply
Applied Scientist
Adobe —San Jose, CA
- $120,700 - $238,600 a year
- Full-time
- Computer science
- Computer Science
- Continuous improvement
Senior Applied Research Scientist
NVIDIA —Santa Clara, CA
- $168,000 - $304,750 a year
- Full-time
- Computer science
- Computer Science
- C++
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
Applied Scientist
Hippocratic AI —Palo Alto, CA
- Full-time
- Computer Science
- Office
- Doctor of Philosophy
Senior Applied Scientist
Microsoft —Mountain View, CA
- $119,800 - $261,000 a year
- Full-time
- Hybrid work
- Background check
- Doctoral degree
- Computer Science
Applied Scientist, Machine Learning Accelerator - Annapurna Labs
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $142,800 - $222,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
10d
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
Applied Scientist 3
Adobe —San Jose, CA
- $120,700 - $238,600 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
Staff Applied Scientist
Adobe —San Jose, CA
- $164,000 - $313,300 a year
- Full-time
- Computer Science
- Doctor of Philosophy
- Mentoring
9d
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
AI Research Scientist, Applied AI, Google Cloud
Google —Sunnyvale, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
9d
Applied Scientist, AWS Neuron Science team
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $171,600 - $222,200 a year
- Full-time
- Customer service
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist, Firefly Foundry
Adobe —San Jose, CA
- $151,800 - $265,350 a year
- Full-time
- Computer Science
- Doctor of Philosophy
- Fair chance
Senior Applied AI Researcher, Digital Biology
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Computer science
- Computer Science
- 8 years
6d
Senior Quantum AI Research Scientist, Applied Research
NVIDIA —Santa Clara, CA
- $192,000 - $304,750 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- 8 years

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

Senior Applied Scientist jobs in Sunnyvale, CA

Applied Scientist jobs in San Jose, CA

Research Scientist jobs in San Jose, CA

Principal Applied Scientist jobs in Sunnyvale, CA

Machine Learning Engineer jobs in San Jose, CA

Ai Scientist jobs in Sunnyvale, CA

Senior Applied Scientist jobs in Santa Clara, CA

Entry Level Scientist jobs in Menlo Park, CA

Senior Applied Scientist jobs in Remote

Senior Applied Scientist jobs in Bethesda, MD

Bachelor Of Applied Arts Sciences jobs in Texas

Senior Applied Scientist jobs in Madison, WI

Senior Applied Scientist jobs in Seattle, WA

Medical Laboratory Scientist jobs in Kentucky

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

Principal Applied Scientist, ML Codesign

Amazon.com Services LLC -
Sunnyvale, CA

Apply Now

Job Details

Full-time
$228,700 - $309,400 a year
12 days ago

Benefits

AD&D insurance
Health insurance
Dental insurance
Flexible spending account
RSU
Paid time off
Adoption assistance
Parental leave
Employee assistance program
Vision insurance
401(k) matching

Qualifications

Computer science
8 years
Senior level

Full Job Description

Define the joint optimization of model compression and silicon architecture for Amazon's next generation of edge and cloud inference accelerators. Your work will set the technical targets that propagate across the model, compiler, runtime, and silicon stack.

We are hiring a Principal Applied Scientist to be the technical leader who closes the loop between compression science and silicon design. Today's generation ships advanced quantization and large-model distillation in production, running multi-billion parameter language models at inference economics typical of much larger systems. Future generations target significantly larger models at the edge and in the cloud. You will be a principal architect of the next-generation accelerator and of the compression algorithms it executes natively. Few roles in the industry let one technical leader influence the model, the compiler, the runtime, and the silicon without organizational friction. This is one of them.

You have spent the last several years thinking about why hardware decisions and accuracy decisions live in different teams, and you want to be the person who owns both. You have published at MLSys, ISCA, MICRO, NeurIPS, or ICML on quantization, pruning, or hardware-aware training, and you want your next paper to ship in a chip rather than in a benchmark suite. You want a vertical stack—model, compression, compiler, runtime, operating system, silicon—where the same engineering organization owns every layer and a principal architect can move all of them.

Key job responsibilities

Define the hardware-aware compression roadmap for next-generation accelerators, working backward from accuracy targets on standard language and reasoning benchmarks including Massive Multitask Language Understanding (MMLU), GSM8K, HumanEval, and Instruction Following Evaluation (IFEval).

Own the joint optimization of compression algorithms (post-training quantization, quantization-aware training, knowledge distillation, structured pruning) with the underlying hardware.

Represent applied science in silicon architecture reviews and influence decisions across the memory and compute subsystems of the accelerator.

Set the science roadmap for the compression techniques the next architecture must support; validate that compression algorithms achieve target accuracy on the benchmarks our products are evaluated against.

Mentor a team of senior and mid-level applied scientists working on compression and hardware-aware training.

Serve as a single-threaded technical leader for the codesign agenda, accountable to senior leadership review.

About the team
Amazon's Devices and Services organization has shipped multiple generations of first-party silicon for consumer devices. The differentiating intellectual property across this portfolio is a custom machine learning processor co-designed with the compression algorithms it runs.

This role sits at the intersection of three teams. The Applied Science team produces compressed model checkpoints. The Silicon Engineering team designs the Application-Specific Integrated Circuits (ASICs). The Compiler and Runtime team lowers compressed models to silicon. You will be the principal architect who closes the loop across all three.

BASIC QUALIFICATIONS

Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent industry experience.

Eight or more years of industry experience with a track record of first-author or senior-author publications at top-tier venues in machine learning systems, computer architecture, or efficient machine learning.

Demonstrated experience defining or co-defining a hardware architecture that shipped, including silicon, Field Programmable Gate Array (FPGA), or large-scale software accelerator.

Deep expertise in at least two of the following: low-bit quantization, structured and unstructured pruning, knowledge distillation, sparse computation, hardware-aware neural architecture search.

Working knowledge of computer architecture fundamentals: memory hierarchy, dataflow architectures, on-chip interconnect.

PREFERRED QUALIFICATIONS

Direct experience contributing to silicon architecture for machine learning inference.

Published work demonstrating hardware-software codesign, where the compression algorithm and the hardware were optimized jointly rather than sequentially.

Experience applying compression techniques at large-model scale (tens of billions of parameters).

Familiarity with Application-Specific Integrated Circuit (ASIC) development flow, Register Transfer Level (RTL) review, or compiler intermediate representations including Multi-Level Intermediate Representation (MLIR) and OpenXLA.

Experience with Mixture-of-Experts (MoE) inference architectures.

Track record of mentoring senior applied scientists and shaping a multi-year research agenda.

Prior experience with vertically integrated stacks where the same team owns model, compiler, runtime, and silicon.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Sunnyvale - 228,700.00 - 309,400.00 USD annually

Apply Now

Refine Your Search

applied scientist jobs in cupertino ca

Principal Applied Scientist, ML Codesign

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Multiphysics Modeling Research Positions for Materials and Processing at NASA Ames

Embodied AI Researcher (R&D Lab)

Applied Scientist

Senior Applied Research Scientist

Research Scientist, Applied GAI-Vision

Applied Scientist

Senior Applied Scientist

Applied Scientist, Machine Learning Accelerator - Annapurna Labs

Applied Scientist II, Annapurna ML

Applied Scientist 3

Staff Applied Scientist

Entry-Level Scientist (Q-NEXT)

AI Research Scientist, Applied AI, Google Cloud

Applied Scientist, AWS Neuron Science team

Applied Scientist, Firefly Foundry

Senior Applied AI Researcher, Digital Biology

Senior Quantum AI Research Scientist, Applied Research

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

Related Searches

Explore jobs in more locations

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

Job Seeker Tools

Employer Tools

Browse

Stay Connected