Top 72 Search algorithm architect Jobs in Santa Clara, 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
11d
AI Search Architect - AI, Search & Knowledge Platforms
Apple —Santa Clara, CA
- $201,300 - $367,400 a year
- Computer Science
- Doctor of Philosophy
- Senior level
- Employee stock purchase plan
- Health insurance
Solutions Architect, Data Processing - New College Grad 2026
NVIDIA —Santa Clara, CA
- $124,000 - $241,500 a year
- Full-time
- Computer Science
- System design
- Master's degree
Senior Software Engineer, Search - USDS
TikTok USDS JV —San Jose, CA
- $187,040 - $359,720 a year
- Hybrid work
- Computer Science
- Bachelor of Science
- 3 years
- Paid parental leave
- Paid holidays
Research Scientist Graduate (AI Agent Memory Infrastructure) - 2026 Start (PhD)
ByteDance —San Jose, CA
- $156,000 - $387,600 a year
- Computer Science
- System design
- Doctor of Philosophy
- Paid parental leave
- Paid holidays
Software Engineer - AI Agent Memory Infrastructure
ByteDance —San Jose, CA
- $156,000 - $316,800 a year
- Computer Science
- System design
- Mid-level
- Paid parental leave
- Paid holidays
Software Development Engineer
Apple —Cupertino, CA
- $152,071 - $220,900 a year
- Full-time
- Computer science
- Computer Science
- System design
- Employee stock purchase plan
- Health insurance
5d
Software Engineer, GPU Performance
Google —Sunnyvale, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Software Engineer III, Android Dialer, Calling Protection
Google —San Jose, CA
- $147,000 - $211,000 a year
- Full-time
- Computer Science
- System design
- Windows
2d
Senior Accelerators Systems Software Architect, AI Transformation
Google —Sunnyvale, CA
- $262,000 - $365,000 a year
- Full-time
- Management
- Computer Science
- Engineering
Software Engineer - Creative AI, Ads Creative & Ecosystem
TikTok —San Jose, CA
- $156,000 - $316,800 a year
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Senior Software Engineer - AI Agent Memory Infrastructure
ByteDance —San Jose, CA
- $212,800 - $450,000 a year
- Computer Science
- System design
- Office
- Paid parental leave
- Paid holidays
Machine Learning Engineer, Web Indexing Team
Apple —Santa Clara, CA
- $171,600 - $302,200 a year
- Computer science
- 7 years
- Computer Science
- Employee stock purchase plan
- Health insurance
14d
Software Engineer, TPU Software Systems, Cloud
Google —Sunnyvale, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior Software Engineer, AI-Empowered Security, CISO
Google —Sunnyvale, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
Research Scientist - AI Agent Memory Infrastructure - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
ByteDance —San Jose, CA
- $212,800 - $387,600 a year
- Computer Science
- System design
- Doctor of Philosophy
- Paid parental leave
- Paid holidays
Tech Lead, Corporate Engineering
Google —San Jose, CA
- $207,000 - $301,000 a year
- Full-time
- Computer Science
- Engineering
- System design
8d
Staff Software Engineer, Search Local Ads Data Platform
Google —Mountain View, CA
- $207,000 - $301,000 a year
- Full-time
- Computer Science
- Engineering
- System design
2d
Tech Lead, Software Engineer - AI Agent Memory Infrastructure
ByteDance —San Jose, CA
- $244,800 - $588,000 a year
- Computer Science
- System design
- Office
- Paid parental leave
- Paid holidays
Staff Software Engineer, Full Stack, Google One
Google —Mountain View, CA
- $207,000 - $301,000 a year
- Full-time
- Computer Science
- Engineering
- System design

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Principal Applied Scientist, ML Codesign

Amazon.com Services LLC -
Sunnyvale, CA

Apply Now

Job Details

Full-time
$228,700 - $309,400 a year
11 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

search algorithm architect jobs in santa clara, ca

Principal Applied Scientist, ML Codesign

AI Search Architect - AI, Search & Knowledge Platforms

Solutions Architect, Data Processing - New College Grad 2026

Senior Software Engineer, Search - USDS

Research Scientist Graduate (AI Agent Memory Infrastructure) - 2026 Start (PhD)

Software Engineer - AI Agent Memory Infrastructure

Software Development Engineer

Software Engineer, GPU Performance

Software Engineer III, Android Dialer, Calling Protection

Senior Accelerators Systems Software Architect, AI Transformation

Software Engineer - Creative AI, Ads Creative & Ecosystem

Senior Software Engineer - AI Agent Memory Infrastructure

Machine Learning Engineer, Web Indexing Team

Software Engineer, TPU Software Systems, Cloud

Senior Software Engineer, AI-Empowered Security, CISO

Research Scientist - AI Agent Memory Infrastructure - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

Tech Lead, Corporate Engineering

Staff Software Engineer, Search Local Ads Data Platform

Tech Lead, Software Engineer - AI Agent Memory Infrastructure

Staff Software Engineer, Full Stack, Google One

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