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Ai Accelerator Jobs in Oregon (NOW HIRING)

Intel

Senior AI Solution Architect

Hillsboro, OR

$170K - $315K/yr

  • Medical

  • Retirement

  • PTO

Design and optimize AI accelerator systems (Gaudi, GPU clusters) for production ML workloads. * Debug complex PCIe, memory subsystem, and interconnect issues in AI clusters. * Validate and integrate ...

New

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR

$141K - $191K/yr

  • Medical

  • Retirement

  • PTO

... accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that ...

NewRocket

Forward Deployed AI Engineer

OR · On-site +1

$103K - $139K/yr

NewRocket Intelligence Platform Value Realization Dashboard Data Intelligence Platform Agent Packs and reusable AI solution accelerators Responsibilities include: identifying patterns and ...

Intel

Sr. Security Architect

Hillsboro, OR · On-site

  • Medical

  • Retirement

  • PTO

AI Accelerator Security for Client NPU Lead security discovery usingAIbasedanalysis tools, with explicit responsibility for: * Identifyingfirmware andlowlevelvulnerabilities at scale * Discovering ...

Nvidia

Principal System Architect, GPU

Hillsboro, OR

Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O technologies, and networked multi-GPU systems * Knowledgeable in modern packaging technologies, and their ...

Attain Talent

VP, Technology & AI Strategy

OR · On-site +1

$179K - $231K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Convert AI-enabled capabilities into differentiated features, accelerators, and service offerings. AI Commercialization * Partner with product and sales to identify marketable AI use cases suited to ...

Intel

Director, Engineering

Hillsboro, OR

  • Medical

  • Retirement

  • PTO

Experience delivering IP across Client, Datacenter, AI Accelerator, and Foundry/ASIC markets.Knowledge of advanced packaging technologies and system-level integration considerations.Experience ...

New

Intel Corporation

Sr. Security Architect

Hillsboro, OR · On-site

  • Medical

  • Retirement

  • PTO

AI Accelerator Security for Client NPU Lead security discovery using AI-based analysis tools, with explicit responsibility for: * Identifying firmware and low-level vulnerabilities at scale

Atos

Head of AI

OR · Remote

AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix ... Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to ...

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Ai Accelerator information

What are the key skills and qualifications needed to thrive as an AI accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What is an AI accelerator?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

What are popular job titles related to Ai Accelerator jobs in Oregon?

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What job categories do people searching Ai Accelerator jobs in Oregon look for?

The top searched job categories for Ai Accelerator jobs in Oregon are:

What cities in Oregon are hiring for Ai Accelerator jobs?

Cities in Oregon with the most Ai Accelerator job openings:

Ai Accelerator jobs near you
Infographic showing various Ai Accelerator job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

AI Accelerator Software Distinguished Engineer- Framework Integration

Ampere Computing LLC

Portland, OR • On-site

$279K - $419K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

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 Distinguished Engineer - Framework Integration, you will lead end-to-end technical strategy and delivery for high-performance deep learning inference across Ampere accelerator platforms. You will set direction for how major ML frameworks are enabled and optimized for our hardware, ensuring high throughput, low latency, and efficient compute/memory utilization for current and next-generation AI workloads spanning data centers to edge.
This role is distinguished by deep technical ownership, architecture leadership, and cross-team influence-driving outcomes from performance modeling and integration strategy through production-ready runtime and kernel behavior.
What You'll Achieve:
  • Framework integration leadership (PyTorch / ONNX / llama.cpp)
    Own and advance integration of major deep learning frameworks-PyTorch, ONNX, llama.cpp, and related tooling-into the Ampere deep learning accelerator backend, enabling robust execution of real-world model graphs and operators.
  • Full-stack acceleration across the SW/HW execution path
    Drive acceleration across the end-to-end stack, including (as applicable):
    • inference serving and orchestration enablement
    • framework-to-runtime integration layers
    • compiler/graph lowering and optimization
    • runtime library and execution management
    • user-mode execution paths and performance-critical interfaces
    • compute kernel development and micro-optimizations
    • profiling, benchmarking, and continuous performance tuning
  • Model enablement: performance + accuracy
    Lead efforts to improve performance and correctness for models using popular frameworks and serving stacks such as vLLM and SGLang, ensuring stable behavior under production inference patterns (prefill/decode, batching, KV cache behavior, scheduling, etc.).
  • Hardware/software co-design and optimization
    Provide technical direction for HW/SW co-optimization of existing and evolving AI architectures to:
    • maximize computational efficiency
    • increase sustained throughput
    • reduce latency and variance
    • improve scalability across cores, memory hierarchies, and system configurations
    • raise the ceiling on what Ampere platforms can deliver
  • Build and evolve state-of-the-art AI accelerator software
    Contribute to and shape the architecture of software/hardware AI co-processors and accelerators, defining reusable components, reference implementations, and performance guardrails.
  • Cross-functional technical collaboration and influence
    Partner with compiler/runtime/kernel, platform, and systems teams to integrate and validate AI capabilities in Ampere's platforms and accelerators from cloud to edge.
  • Mentorship and technical excellence
    Set engineering standards through code reviews, design reviews, benchmark methodologies, and mentorship-raising the overall bar for quality, maintainability, and performance.

About You:
  • Education & experience: BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or a related technical field & 15 years of related experience; or MS degree & 12 years; or PhD & 8 years
  • Deep framework expertise: Proven experience with software development focused on PyTorch, ONNX, and llama.cpp, including integration, graph/operator enablement, and performance-focused engineering.
  • Linux accelerator runtime / driver experience (preferred): Experience building or extending user-mode drivers and/or runtime libraries for GPUs or deep learning accelerators on Linux is a plus.
  • Strong systems programming + performance tuning: Deep expertise in Python and C/C++, with a strong track record in performance engineering (profiling, optimization, throughput/latency analysis, memory behavior).
  • Solid ML/AI fundamentals: Strong understanding of AI/ML concepts (neural networks, data processing frameworks), and familiarity with modern model families including Transformers and Diffusion architectures.
  • Fluent with modern AI development tools (preferred): Comfortable using modern AI programming tools and workflows such as Codex or Claude Code.

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 $279,500 and $419,500, except in the San Francisco Bay Area where the range is between $293,000 and $440,000.
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.

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