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Voip Engineer Remote Jobs in Oregon (NOW HIRING)

Senior Performance Engineer - DGX Cloud

OR · On-site +1

$104K - $143K/yr

We are seeking a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your work ...

Senior Code Generator Compiler Engineer

OR · On-site +1

$104K - $143K/yr

This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

Senior Platform AI Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA's Silicon Co-Design Group (SCG) is seeking Senior AI Platform Engineers. They will set the technical direction and lead the end-to-end delivery of the efficiency platform that supports our ...

Senior Deep Learning Algorithm Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA is seeking a Senior Deep Learning Algorithms Engineer to advance Dynamo, our open-source distributed inference platform for large-scale, low-latency AI services. You'll lead architecture and ...

Senior Network Automation Engineer

OR · On-site +1

$130K - $160K/yr

As a Senior Network Automation Engineer, you'll partner directly with customers to identify high-impact automation opportunities, then architect and build solutions using NetBrain's automation ...

Senior AI Performance and Efficiency Engineer

OR · On-site +1

$104K - $143K/yr

As an Engineer, you will have a pivotal role in enhancing efficiency for our researchers by implementing progressions throughout the entire stack. Your main task will revolve around collaborating ...

Senior Staff Forward Deployed Engineer, AI

OR · On-site +1

$104K - $143K/yr

As a Senior Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne's engineering capacity directly into the departments that need it most, including Sales, Customer ...

Senior Life Cycle Engineer, PyTorch - Deep Learning

OR · On-site +1

$104K - $143K/yr

NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. Join a diverse, ambitious team ...

Senior Deep Learning Tools Engineer - CUDA Tile

OR · On-site +1

$104K - $143K/yr

We are seeking a talented Deep Learning Compiler & Tools Engineer focused on CUDA Tile (Performance & Infrastructure) to join our team. You will collaborate closely with compiler developers ...

Senior Math Libraries Engineer - AI and HPC

OR · On-site +1

$104K - $143K/yr

NVIDIA Math Libraries team is looking for a senior engineer to join our development efforts in the area of kernel generation for AI and HPC, specifically targeting matrix operations, JITing and ...

Senior Video Conferencing Engineer

OR · On-site +1

$104K - $143K/yr

Remote in Europe, or hybrid from our Copenhagen office. Why Airtame: * A harder problem than a cloud shop's. Our real-time media has to hold up across a spread of devices in meeting rooms, on ...

Senior Staff AI Platform Engineer

OR · On-site +1

$104K - $143K/yr

As a Senior Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of SentinelOne's enterprise AI platform, including the Gateway, Harness, and Semantic Layers that every ...

Sr. Forward Deployed AI Solutions Engineer

OR · On-site +1

$125K - $156K/yr

About the role The Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.

Senior AI Research Engineer

Salem, OR · On-site +1

$195K - $304K/yr

Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch. * Experience with modern learning-from-demonstration tools like DiffusionPolicy * Experience with ...

Showing results 41-60

Voip Engineer Remote information

See Oregon salary details

$20

$55

$84

How much do voip engineer remote jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for voip engineer remote in Oregon is $55.52, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $66.35 per hour, depending on experience, location, and employer.

What is a VoIP engineer?

A VoIP Engineer Remote job involves designing, implementing, and maintaining Voice over IP (VoIP) communication systems while working remotely. Responsibilities include configuring VoIP hardware and software, troubleshooting network issues, ensuring call quality, and integrating VoIP services with existing infrastructure. These engineers work with protocols like SIP, RTP, and troubleshooting tools to optimize voice communication. Remote VoIP engineers collaborate with IT teams and clients to deliver reliable VoIP solutions. Strong networking knowledge and experience with VoIP platforms like Asterisk, Cisco, or Microsoft Teams are often required.

What does a VoIP engineer do?

A remote VoIP Engineer’s day often includes configuring, monitoring, and troubleshooting VoIP systems to maintain optimal performance and call quality. You may also work with network and IT teams to implement new features, resolve technical issues, and assist with upgrades or security patches. Regular communication with clients or internal stakeholders is common, ensuring user needs and service requirements are met. This role requires managing incidents promptly while maintaining thorough technical documentation for future reference.

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

To thrive as a Voip Engineer Remote, you need strong expertise in VoIP technologies, network protocols (SIP, RTP), troubleshooting, and a degree in computer science or a related field. Familiarity with VoIP systems like Asterisk, Cisco CUCM, and relevant certifications such as CCNA Collaboration or CompTIA Network+ are highly valued. Excellent problem-solving skills, clear communication, and the ability to work independently are essential soft skills in this remote role. These skills ensure reliable voice communications, efficient remote support, and effective collaboration with distributed teams.

What are popular job titles related to Voip Engineer Remote jobs in Oregon?

For Voip Engineer Remote jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Voip Engineer Remote jobs?

Cities in Oregon with the most Voip Engineer Remote job openings:

Infographic showing various Voip Engineer Remote job openings in Oregon as of August 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 21% In-person, and 79% Remote job distribution, with an average salary of $115,476 per year, or $55.5 per hour.

Senior Performance Engineer - DGX Cloud

Nvidia

OR • On-site, Remote

$104K - $143K/yr

Full-time

Re-posted 8 days ago


Key responsibilities

  • Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.

  • Design and execute performance studies to establish baselines, diagnose regressions, and identify bottlenecks.

  • Use profiling, observability, and data analysis to develop actionable optimization plans.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. We help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks. We are seeking a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads. Join our technically diverse team of infrastructure experts to unlock more efficient AI at scale.

What you'll be doing:

  • Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.

  • Design and execute rigorous performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.

  • Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.

  • Use profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.

  • Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

  • Communicate performance findings, tradeoffs, and recommendations clearly to influence system and software design decisions.

What we need to see:

  • BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).

  • 12+ years of experience in strong programming skills in C++ and Python, with the ability to build reliable analysis and automation workflows

  • Solid foundation in operating systems, computer architecture, and distributed systems

  • Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems

  • Ability to communicate technical findings, prioritize high-impact work, and build alignment across teams

Ways to stand out from the crowd:

  • Experience analyzing large-scale AI clusters or distributed training and inference workloads

  • Experience with CUDA, GPU computing systems, and GPU performance analysis

  • Hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA

  • Deep understanding of system-level performance analysis, workload characterization, and optimization

NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

Pay

Benefits

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