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Heterogeneous Jobs in Oregon (NOW HIRING)

OR · On-site

This Principal Architect role leads the research agenda and architectural direction for how NVIDIA's AI systems communicate at scale-across GPUs, DPUs, NICs, and heterogeneous storage. It requires ...

Mgr, Product Marketing

Tualatin, OR · On-site

$160K/yr

... heterogeneous integration applications. * Experience with electrofill processes, integration requirements, cost-of-ownership modeling, value-based pricing, competitive analysis, or product roadmap ...

Experience working with large datasets and navigating real-world data quality challenges across heterogeneous source systems * Experience setting engineering standards (service design, data ...

OR · On-site

$125K - $172K/yr

Design data integration systems resilient to inconsistent, incomplete, and delayed clinical data across heterogeneous EHRs and payer systems either directly or through HIEs, health alliance networks ...

Solutions Integrations Architect

OR · On-site

$59 - $77.75/hr

... from heterogeneous systems. This role works closely with a wide variety of customers from senior project managers to developers, business units within L+G and the customer's team to generate ...

Use this fluency to design heterogeneous agent architectures and to position Genpact as a platform-agnostic transformation partner. * Sales Demos & Live Configuration: Act as the lead solution ...

New

Data Engineer - Research Informatics

Odell, OR · On-site

$117K - $140K/yr

Integrate and harmonize data across heterogeneous sources, including structured EHR data, unstructured clinical notes, imaging metadata, genomics, and patient-reported outcomes, to enable advanced ...

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Heterogeneous information

What are Heterogeneous jobs?

Heterogeneous jobs refer to positions or tasks that involve working with diverse systems, technologies, or components that are different in nature. In computing and engineering, this often means managing or integrating hardware or software from various platforms, architectures, or vendors. These roles require adaptability and a deep understanding of how different systems can communicate and function together efficiently. Heterogeneous jobs are common in environments where interoperability and system integration are crucial for business operations.

What are the key skills and qualifications needed to thrive as a Heterogeneous, and why are they important?

I'm sorry, but 'Heterogeneous' is not a recognized real-world professional occupation, so I cannot provide a relevant response.

What is an example of a secondary job?

A secondary job is an additional position held alongside a primary job, often part-time or freelance, to supplement income or gain experience. For example, a full-time teacher might work as a freelance tutor after school hours. Such roles typically require time management skills and may involve flexible scheduling or specific certifications depending on the field.

What type of jobs are repetitive?

Repetitive jobs are those that involve performing the same tasks or procedures regularly, such as assembly line work, data entry, or manufacturing roles. These jobs often require attention to detail and consistency but may offer less variety in daily tasks.

What is the 3 month rule for jobs?

The 3 month rule in the context of jobs, including roles like Heterogeneous, often refers to a probation or trial period that lasts three months, during which an employer evaluates an employee's performance before offering permanent employment. This period allows both parties to assess fit and may involve specific performance expectations or training. After three months, employees are typically eligible for benefits or permanent status, depending on company policies.

What are the 4 types of jobs?

The four main types of jobs are full-time, part-time, temporary, and freelance or contract positions. Full-time jobs typically offer benefits and a set schedule, while part-time roles have fewer hours. Temporary and freelance jobs often involve short-term projects or independent work, requiring specific skills and flexibility.

What is the difference between Heterogeneous vs Network Engineer?

AspectHeterogeneousNetwork Engineer
Required credentialsVaries widely, often includes certifications in multiple disciplinesTypically Cisco, CompTIA, or similar networking certifications
Work environmentMultidisciplinary, involving various technologies and systemsPrimarily networking hardware and software in IT infrastructure
Employer and industry usageUsed across diverse industries requiring multidisciplinary skillsCommon in IT, telecommunications, and enterprise networks
Search and comparison intentUnderstanding multidisciplinary roles and skillsFocusing on networking-specific skills and certifications

Heterogeneous refers to a broad, multidisciplinary role involving various technologies, while a Network Engineer specializes in designing, implementing, and maintaining network systems. The key difference lies in scope: Heterogeneous roles encompass multiple disciplines, whereas Network Engineers focus specifically on networking infrastructure.

What are some common challenges faced when working as a Heterogeneous Systems Engineer, and how can they be addressed?

As a Heterogeneous Systems Engineer, one of the main challenges is integrating diverse hardware components—such as CPUs, GPUs, and FPGAs—into a seamless computing environment. This often involves troubleshooting compatibility issues, optimizing system performance, and managing communication between different architectures. Collaborating with cross-functional teams, staying updated on emerging technologies, and leveraging industry-standard frameworks can help address these challenges. Regularly testing and profiling systems also play a crucial role in ensuring reliability and efficiency.
What are popular job titles related to Heterogeneous jobs in Oregon? For Heterogeneous jobs in Oregon, the most frequently searched job titles are:
Infographic showing various Heterogeneous job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Principal Architect, AI Networking

Principal Architect, AI Networking

Nvidia

OR • On-site

Full-time

Re-posted 21 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

An applied research team within NVIDIA's Networking Systems & Software Architecture group is solving some of AI's hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands-spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects.

This Principal Architect role leads the research agenda and architectural direction for how NVIDIA's AI systems communicate at scale-across GPUs, DPUs, NICs, and heterogeneous storage. It requires someone who defines project scope from scratch, publishes original work, and translates research breakthroughs into production-grade software that ships industry-wide!

What you will be doing:

  • Setting the long-term technical vision for distributed AI communication systems-GPU-to-GPU, GPU-to-storage, and cross-node data movement.

  • Conducting original research and prototyping next-generation networking solutions over RDMA, NVLink, and GPUDirect.

  • Driving hardware-software co-optimization with GPU, DPU, NIC, and network switch. Investigating fundamental bottlenecks in communication runtimes for large-scale AI workloads (KV cache transfer, disaggregated prefill/decode, model parallelism).

  • Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM.

  • Publishing findings, representing NVIDIA in industry forums and standards bodies, and mentoring senior engineers across the organization.

What we need to see:

  • 15+ years in systems software and/or networking with deep expertise in high-performance networking (InfiniBand, RoCE, RDMA, NVLink), communication libraries (e.g. NIXL, NCCL, UCX, MPI, NVSHMEM), and GPU accelerated systems, with track record of defining and delivering complex, cross-team technical initiatives from research concept to production.

  • MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

  • Deep understanding of computer architecture, memory hierarchies, DMA engines, and OS-level networking.

  • Understanding of ML systems concepts-transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.

  • Proficiency in programming languages such as C, C++, Rust and Python.

Ways to stand out from the crowd:

  • Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.

  • CUDA programming and NVIDIA GPU architecture expertise.

  • Proved experience influencing product strategy and technical roadmap at a senior level.

  • Major open-source contributions.

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forwardthinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building largescale, highimpact data platforms, we'd love to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993