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Pytorch Jobs in Portland, OR (NOW HIRING)

Chabez Tech

Machine Learning Engineer

Portland, OR

... learn, PyTorch/TensorFlow) Experience with time-series data analysis and anomaly detection Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

... PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) • ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Vancouver, WA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Portland, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Cisco

Applied AI Scientist

Portland, OR · On-site

Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...

New

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170K - $315K/yr

Implementation of linear algebra algorithms (functions from BLAS, LAPACK, or PyTorch) * Performance engineering and software performance optimizations * Floating point arithmetic and numerical ...

Cisco

Applied AI Scientist

Hillsboro, OR

Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...

New

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... PyTorch) • Lakehouse architecture • Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models (Generative AI, RAG) • Data Governance Apply at www.Nike.com/Careers (Job# R ...

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All JobsPytorch JobsPytorch Jobs in Portland, OR

Pytorch information

See Portland, OR salary details

$80.4K

$144.1K

$206.7K

How much do pytorch jobs pay per year?

As of Jul 11, 2026, the average yearly pay for pytorch in Portland, OR is $144,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,867.00 and $176,272.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Portland, OR? The most popular types of Pytorch jobs in Portland, OR are:
What are popular job titles related to Pytorch jobs in Portland, OR? For Pytorch jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Portland, OR look for? The top searched job categories for Pytorch jobs in Portland, OR are:
What cities near Portland, OR are hiring for Pytorch jobs? Cities near Portland, OR with the most Pytorch job openings:
Pytorch jobs near you
Infographic showing various Pytorch job openings in Portland, OR as of July 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $144,134 per year, or $69.3 per hour.
AI Accelerator Software Distinguished Engineer- Framework Integration

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 7 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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