Top 3463 Hardware engineer Jobs in Pescadero, Ca

Software Development Manager, AWS Neuron SDK - Distributed Training
Amazon Development Center U.S., Inc. —Cupertino, CA
- $212,700 - $287,700 a year
- Full-time
- 3 years
- Analysis skills
- Product management
- AD&D insurance
- Health insurance
Software Development Manager - NKI Compiler, AWS Neuron, Annapurna Labs
Annapurna Labs (U.S.) Inc. —Cupertino, CA
- $212,700 - $287,700 a year
- Full-time
- Product management
- Fair chance
- Senior level
- AD&D insurance
- Health insurance
Sr. Electrical Engineer @ IoT Startup
Level Home —Redwood City, CA
- $140,000 - $220,000 a year
- 8 hour shift
- Background check
- Assembly
- Mentoring
- Relocation assistance
- Health insurance
Quick Apply
Senior Electrical Firmware Engineer
TMP Worldwide India Private Limited for ERS US —Sunnyvale, CA
- $78,000 - $148,000 a year
- Email
- In-person
- Senior level
- AD&D insurance
- Paid holidays
Quick Apply
Senior Principal Engineer- End-to-End AI Training Framework
Bosch Group —Sunnyvale, CA
- $240,000 - $320,000 a year
- Full-time
- Background check
- Management
- Computer Science
- Health savings account
- Disability insurance
Cellular DevOps Engineer
Experis —Menlo Park, CA
- $70 - $90 an hour
- Contract
- DevOps
- 3 years
- JavaScript
Quick Apply
2d
Platform Integration Engineer
Experis —Palo Alto, CA
- Urgently hiring
- Mid-level
- Leadership
- Communication skills
- Health savings account
- Disability insurance
Quick Apply
System QA Engineer
TMP Worldwide India Private Limited for ERS US —Cupertino, CA
- $83,000 - $110,000 a year
- Email
- Computer science
- Computer Science
- Bachelor of Science
- AD&D insurance
- Paid holidays
Quick Apply
Mechatronics Engineer - Robotics and Automation
TMP Worldwide India Private Limited for ERS US —Mountain View, CA
- $85,000 - $130,000 a year
- Email
- Engineering
- Master's degree
- Bachelor's degree
- AD&D insurance
- Paid holidays
Quick Apply
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
Wireless Systems Embedded Firmware Engineer III
Experis —Sunnyvale, CA
- $52.20 - $65.25 an hour
- Contract
- Engineering
- In-person
- Senior level
- Health savings account
- Disability insurance
Quick Apply
4d
Senior Staff Data Center Operations Engineer, GPU Hardware Architecture
Crusoe —Sunnyvale, CA
- $179,000 - $218,000 a year
- Full-time
- Bachelor of Science
- Analysis skills
- Training & development
- Commuter assistance
- Paid parental leave
Quick Apply
Mechanical Design Engineer Level 5
Northrop Grumman —Sunnyvale, CA
- $161,000 - $241,400 a year
- Overtime
- Bachelor of Science
- 8 years
- Assembly
- Paid holidays
- Disability insurance
5d
Mechanical Design Engineer Level 3/4
Northrop Grumman —Sunnyvale, CA
- $103,600 - $193,900 a year
- Overtime
- Hybrid work
- Bachelor of Science
- Mid-level
- 3 years
- Paid holidays
- Disability insurance
Mechanical Design Engineer Level 3/4
Northrop Grumman —Sunnyvale, CA
- $103,600 - $193,900 a year
- Overtime
- Bachelor of Science
- Mid-level
- 3 years
- Paid holidays
- Disability insurance
5d
Junior FPGA Validation Engineer
Entegee —Sunnyvale, CA
- $35 - $40 an hour
- Full-time
- Bachelor's degree
- US work authorization
- Fair chance
- Commuter assistance
- Disability insurance
Quick Apply
12d
Mechanical Design Engineer Level 4
Northrop Grumman —Sunnyvale, CA
- $129,300 - $193,900 a year
- Overtime
- Hybrid work
- Bachelor of Science
- 3 years
- Bachelor's degree
- Paid holidays
- Disability insurance
LabVIEW Systems Engineer Level 4
Northrop Grumman —Sunnyvale, CA
- $142,000 - $213,400 a year
- Overtime
- 6 years
- Master's degree
- Analysis skills
- Paid holidays
- Disability insurance
5d
Electrical Design Engineer Level 4
Northrop Grumman —Sunnyvale, CA
- $142,500 - $213,400 a year
- Overtime
- 6 years
- Master's degree
- Travel
- Paid holidays
- Disability insurance
5d
Sr. Principal Systems Engineer Level 4
Northrop Grumman —Sunnyvale, CA
- $129,300 - $193,900 a year
- Overtime
- Doctor of Philosophy
- Travel
- Senior level
- Paid holidays
- Disability insurance
5d

I want to receive the latest job alert for hardware engineer in pescadero, 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

hardware engineer jobs near pescadero, ca

Mechanical Designer jobs in Sunnyvale, CA

Robotics Engineer jobs in Mountain View, CA

System Engineer jobs in Sunnyvale, CA

Principal Software Engineer jobs in Sunnyvale, CA

Fpga Engineer jobs in Sunnyvale, CA

Platform Engineer jobs in Palo Alto, CA

Technical Program Manager jobs in Mountain View, CA

Help Desk Manager jobs in New York, NY

Software Engineering Manager jobs in Camarillo, CA

Agricultural Engineering jobs in Texas

Software Engineering Manager jobs in Erlanger, KY

Software Engineering Manager jobs in Duluth, GA

Software Engineering Manager jobs in Princeton, NJ

Community Outreach Manager jobs in Chicago, IL

Electrical Technician jobs in Miami, FL

Senior Accounts Payable jobs in Remote

Senior Electrical Engineer jobs in Tampa, FL

Senior Electrical Engineer jobs in Marina, CA

Senior Electrical Engineer jobs in Moon Township, PA

Senior Electrical Engineer jobs in Detroit, MI

Software Development Manager, AWS Neuron SDK - Distributed Training

Amazon Development Center U.S., Inc. -
Cupertino, CA

Apply Now

Job Details

Full-time
$212,700 - $287,700 a year

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

3 years
Analysis skills
Product management
Senior level

Full Job Description

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine
learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must.

Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience.

you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers

Key job responsibilities

Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform.
Own the customer onboarding journey from model evaluation through production training at scale
Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools.
Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models.
Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads.
Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies).
Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium.
Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams.
Recruit, mentor, and grow a high-performing team of ML systems engineers.

A day in the life
You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.

About the team
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

Experience working with PyTorch or JAX software
3+ years of engineering team management experience
7+ years of working directly within engineering teams experience
3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
Experience partnering with product or program management teams
3+ years of experience in deep learning / machine learning, including model training workflows
Experience with distributed training at scale (multi-node, multi-accelerator)

PREFERRED QUALIFICATIONS

Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
Experience directly managing scientists or machine learning engineers
Experience debugging, profiling, and implementing best software engineering practices in large-scale systems
Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels
Experience with performance analysis, profiling, and optimization for deep learning training workloads

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, Cupertino - 212,700.00 - 287,700.00 USD annually

Apply Now

Refine Your Search

hardware engineer jobs in pescadero, ca

Software Development Manager, AWS Neuron SDK - Distributed Training

Software Development Manager - NKI Compiler, AWS Neuron, Annapurna Labs

Sr. Electrical Engineer @ IoT Startup

Senior Electrical Firmware Engineer

Senior Principal Engineer- End-to-End AI Training Framework

Cellular DevOps Engineer

Platform Integration Engineer

System QA Engineer

Mechatronics Engineer - Robotics and Automation

Senior Technical Program Manager -Robotics

Wireless Systems Embedded Firmware Engineer III

Senior Staff Data Center Operations Engineer, GPU Hardware Architecture

Mechanical Design Engineer Level 5

Mechanical Design Engineer Level 3/4

Mechanical Design Engineer Level 3/4

Junior FPGA Validation Engineer

Mechanical Design Engineer Level 4

LabVIEW Systems Engineer Level 4

Electrical Design Engineer Level 4

Sr. Principal Systems Engineer Level 4

I want to receive the latest job alert for hardware engineer in pescadero, ca

Related Searches

Explore jobs in more locations

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

Job Seeker Tools

Employer Tools

Browse

Stay Connected