Top 46 Ampere Jobs | SimplyHired

AI Accelerator Software Principal Engineer – NPU Full-Stack Integration
Ampere Computing —Portland, OR
- $182,000 - $273,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Health insurance
11d
Sr. Principal Software Engineer, Debug Tools
Ampere Computing —Portland, OR
- $225,500 - $356,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- 11+ years
- Paid holidays
- Health insurance
9d
AI Accelerator Software Distinguished Engineer- Framework Integration
Ampere Computing —Portland, OR
- $279,500 - $440,000 a year
- Full-time
- Hybrid work
- Computer Science
- Bachelor of Science
- System design
- Paid holidays
- Health insurance
Principal Software Engineer, DevOps and Tools
Ampere Computing —Portland, OR
- $182,000 - $273,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Health insurance
10d
Global Labs DevOps Engineer
Ampere Computing —Santa Clara, CA
- $159,000 - $239,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Paid holidays
- Health insurance
3d
Principal Power Analysis & Optimization Engineer
Ampere Computing —Portland, OR
- $182,000 - $273,000 a year
- Full-time
- Hybrid work
- 3 years
- Master's degree
- Analysis skills
- Paid holidays
- Health insurance
5d
Principal DDR5 / LPDDR5 PHY Validation Engineer
Ampere Computing —Santa Clara, CA
- $195,000 - $292,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Health insurance

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AI Accelerator Software Principal Engineer – NPU Full-Stack Integration

Ampere Computing -
Portland, OR

Apply Now

Job Details

Full-time
$182,000 - $273,000 a year
11 days ago

Benefits

Paid holidays
Health insurance
Dental insurance
Flextime
Vision insurance

Qualifications

AI models
Performance tuning
Computer science
Software engineering
Computer Science
Software design
Software Engineering
Bachelor's degree in electrical engineering
PyTorch
Tooling
Bachelor of Science
System performance optimization
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
8 years
Collaboration with product development teams
C
Doctor of Philosophy
Model deployment
Computer hardware
Master of Science
Computer Engineering
Scalability
Cloud computing
Engineering product development
Linux
ARM
Neural networks
Benchmarking

Full Job Description

Description

Invent the future with us.

Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.

As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.

Join us at Ampere and work alongside a passionate and growing team - we’d love to have you apply!

About the Role

As an AI Accelerator Software Principal Engineer – NPU Full-Stack Integration, you will lead the design and delivery of high-performance, low-latency deep learning inference solutions on the Arm® Ethos™-U85. You’ll help advance Ampere’s AI software stack by enabling models with performance and efficiency requirements

You will operate at the intersection of software engineering, performance engineering, and hardware-aware optimization, contributing to the full stack from model execution to accelerator-ready kernel performance.

What You’ll Achieve:

End-to-end deep learning performance acceleration
Go deep into the full software/hardware execution stack, including:
- framework integration layers
- compiler and graph/runtime support
- runtime libraries and user-mode execution paths
- compute kernel development
- profiling, benchmarking, and performance tuning
Model enablement with quality and speed
Improve both performance and accuracy for models using popular frameworks, helping deliver production-ready inference behavior in edge devices.
Hardware/software co-design and optimization
Partner with hardware and platform teams to co-optimize AI execution for better outcomes:
- increased throughput
- reduced latency
- improved scalability
- better resource utilization (compute/memory/IO)
- higher sustained performance under realistic workloads
Build state-of-the-art AI software components
Contribute to the development of software and hardware AI co-processors/accelerators, delivering reusable libraries, optimized execution paths, and robust integration with existing tooling.
Cross-functional collaboration
Work closely with cross-functional teams (compiler/runtime, kernels, platform, and product engineering) to integrate AI capabilities into Ampere’s cloud-native processor platforms and accelerators.

About You:

Education and Experience: BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience; or MS degree & 6 years; or PhD & 3 years.
Understands AOT (Ahead-Of-Time) compilation path in popular frameworks like PyTorch and deployment path like execuTorch in edge environment
Linux + accelerator/runtime expertise (preferred): Experience with developing user-mode drivers, runtime libraries, or low-level integration for GPUs or deep learning accelerators in Linux is a plus.
Strong systems programming & performance skills:
- Expert in Python and C/C++
- Strong background in performance profiling and tuning (latency/throughput, memory behavior, kernel efficiency)
Deep ML understanding: Solid understanding of AI/ML concepts including neural networks and data processing frameworks. Experience with modern deep model architectures such as Transformers and Diffusion models is preferred.
Modern AI tooling fluency (preferred): Fluent with modern AI programming tools such as Codex or Claude Code, and comfortable accelerating development workflows.

What We’ll Offer:

At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.

Our benefits include health, wellness, and financial programs that support employees through every stage of life.

Benefit highlights include:

Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.

#LI-Hybrid

#LI-Hybrid#LI-DR
#LI-Hybrid

Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

Apply Now

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ampere jobs

AI Accelerator Software Principal Engineer – NPU Full-Stack Integration

Sr. Principal Software Engineer, Debug Tools

AI Accelerator Software Distinguished Engineer- Framework Integration

Principal Software Engineer, DevOps and Tools

Global Labs DevOps Engineer

Principal Power Analysis & Optimization Engineer

Principal DDR5 / LPDDR5 PHY Validation Engineer

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