Top 1139 Hardware architect Jobs in Palo Alto, 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
14d
Sr. Principal Hardware Architect for Optical Transceivers
Coherent Corp. —Fremont, CA
- $127,875 - $223,813 a year
- Full-time
- Bachelor of Science
- Office
- Analysis skills
Senior Technical Program Manager -Robotics
TMP Worldwide India Private Limited for ERS US —Mountain View, CA
- $110,000 - $168,000 a year
- Email
- Computer science
- Computer Science
- Engineering
- AD&D insurance
- Paid holidays
Quick Apply
Commercial Project Manager/Estimator - Doors Frames Hardware (Experience Required)
Magnum Drywall Inc —San Jose, CA
- $120,000 - $160,000 a year
- Full-time
- Background check
- 5 years
- US work authorization
- Relocation assistance
- Health insurance
Quick Apply
4d
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
Principal Mechanical Engineer -29378_G
BEPC Inc —Santa Clara, CA
- $78.24 - $81.24 an hour
- Full-time
- 3 years
- Master's degree
- Supervising experience
- Health insurance
- Dental insurance
Quick Apply
FPGA Engineer
Everforth —Sunnyvale, CA
- Full-time
- Maintenance
- Mid-level
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
7d
Solutions Architect, Security - USDS
TikTok USDS JV —San Jose, CA
- $199,800 - $441,600 a year
- Hybrid work
- Computer science
- Computer Science
- Bachelor's degree
- Paid parental leave
- Paid holidays
Machine Learning Hardware Architect - Silicon
Meta —Sunnyvale, CA
- $212,000 - $294,000 a year
- Computer science
- Computer Science
- 11+ years
6d
AI Performance Architect, AI Hardware
Tesla —Palo Alto, CA
- $176,000 - $420,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Commuter assistance
- Health savings account
Hardware EE System Architect
Apple —Cupertino, CA
- $184,700 - $324,800 a year
- Bachelor of Science
- 8 years
- Machine learning
- Employee stock purchase plan
- Health insurance
Image Sensor Architect, Camera Hardware
Apple —Cupertino, CA
- $184,700 - $324,800 a year
- Bachelor of Science
- Doctor of Philosophy
- Senior level
- Employee stock purchase plan
- Health insurance
Camera Architect
Apple —Cupertino, CA
- $184,700 - $324,800 a year
- Computer Science
- Bachelor of Science
- Writing skills
- Employee stock purchase plan
- Health insurance
7d
System Design Engineer - New College Grad 2026
NVIDIA —Santa Clara, CA
- $92,000 - $184,000 a year
- Full-time
- Bachelor of Science
- System design
- Windows
12d
Entry Level Object Scan Technician
Capgemini —Santa Clara, CA
- $29,973 - $69,014 a year
- Contract
- Windows
- Assembly
- Warehouse
- Paid holidays
- Disability insurance
11d
AI Compute Architect, AI Hardware
Tesla —Palo Alto, CA
- $128,000 - $312,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Commuter assistance
- Health savings account
Staff Business Architect
Ford Motor Company —Palo Alto, CA
- $127,100 - $239,900 a year
- Online Application
- Hybrid work
- Engineering
- US work authorization
- Senior level
- Paid parental leave
- Paid holidays
Senior AI Hardware Architect
Microsoft —Mountain View, CA
- $119,800 - $261,000 a year
- Full-time
- Background check
- System design
- 3 years
Carpenters (All Levels)
Harrell Design + Build —Palo Alto, CA
- Full-time
- Management
- Construction site
- Mid-level
- Health insurance
- Dental insurance
Systems Architect
NVIDIA —Santa Clara, CA
- $136,000 - $258,750 a year
- Full-time
- 5 years
- Bachelor of Science
- System design
12d

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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
14 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

hardware architect jobs in palo alto, ca

Principal Applied Scientist, ML Codesign

Sr. Principal Hardware Architect for Optical Transceivers

Senior Technical Program Manager -Robotics

Commercial Project Manager/Estimator - Doors Frames Hardware (Experience Required)

Embodied AI Researcher (R&D Lab)

Principal Mechanical Engineer -29378_G

FPGA Engineer

Solutions Architect, Security - USDS

Machine Learning Hardware Architect - Silicon

AI Performance Architect, AI Hardware

Hardware EE System Architect

Image Sensor Architect, Camera Hardware

Camera Architect

System Design Engineer - New College Grad 2026

Entry Level Object Scan Technician

AI Compute Architect, AI Hardware

Staff Business Architect

Senior AI Hardware Architect

Carpenters (All Levels)

Systems Architect

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