1

Senior Audio Visual Engineer Jobs in Oregon (NOW HIRING)

next page

Showing results 1-20

Senior Audio Visual Engineer information

What does a senior audio visual engineer do?

A Senior Audio Visual Engineer is responsible for designing, implementing, and managing advanced audio-visual systems for organizations. They oversee the setup and integration of AV equipment such as projectors, sound systems, video conferencing tools, and control systems. In addition, they troubleshoot complex technical issues, ensure optimal system performance, and may lead teams on large-scale AV installations. Their expertise is often required for both day-to-day operations and long-term AV strategy within a company.

What are some typical challenges faced by senior audio visual engineers during large-scale project implementations?

Senior Audio Visual Engineers often encounter challenges such as integrating diverse AV systems from multiple manufacturers, ensuring compatibility with existing infrastructure, and meeting strict project deadlines. Managing client expectations while coordinating with IT, facilities, and event teams requires strong communication and troubleshooting skills. Additionally, staying updated with rapidly evolving AV technologies and training junior staff are essential aspects of the role.

What are the key skills and qualifications needed to thrive as a senior audio visual engineer, and why are they important?

To thrive as a Senior Audio Visual Engineer, you need advanced knowledge of AV system design, integration, troubleshooting, and a relevant degree or industry certifications like CTS. Proficiency with AV control systems (e.g., Crestron, Extron), AutoCAD, DSP programming, and video conferencing platforms is typically required. Strong project management, communication, and problem-solving skills set top performers apart in this role. These skills ensure reliable, high-quality AV solutions and successful project delivery in dynamic business or event environments.

What is the difference between Senior Audio Visual Engineer vs Audio Visual Technician?

AspectSenior Audio Visual EngineerAudio Visual Technician
CredentialsBachelor's degree in AV technology, engineering, or related field; certifications like CTSHigh school diploma or equivalent; some certifications preferred
Work EnvironmentDesign, planning, and overseeing AV systems in corporate, event, or conference settingsInstallation, troubleshooting, and maintenance of AV equipment on-site
ResponsibilitiesSystem design, project management, technical leadershipSetup, operation, and basic troubleshooting of AV equipment

The Senior Audio Visual Engineer typically handles system design and project oversight, requiring advanced certifications and experience. In contrast, the Audio Visual Technician focuses on hands-on installation and maintenance tasks. Both roles are essential in AV projects but differ in scope and seniority.

What are the most commonly searched types of Audio Visual Engineer jobs in Oregon?

The most popular types of Audio Visual Engineer jobs in Oregon are:

What job categories do people searching Senior Audio Visual Engineer jobs in Oregon look for?

The top searched job categories for Senior Audio Visual Engineer jobs in Oregon are:

What cities in Oregon are hiring for Senior Audio Visual Engineer jobs?

Cities in Oregon with the most Senior Audio Visual Engineer job openings:

Infographic showing various Senior Audio Visual Engineer job openings in Oregon as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Deep Learning Scientist, Multimodal Agentic RL

Nvidia

OR • On-site, Remote

Full-time

Posted 6 days ago


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

NVIDIA is widely regarded as one of the technology industry's most desirable employers. We lead the way in High-Performance Computing, Artificial Intelligence, and Visualization. Our core invention, the GPU, serves as the visual cortex of modern computers and powers our entire product suite.

GPU deep learning ignited the modern AI era-the next great computing age-with the GPU acting as the brain for everything from robots and autonomous cars to conversational AI. Today, we are known globally as "the AI computing company." We are looking to grow our teams by bringing in the smartest people in the world. Join us at the forefront of technological advancement

NVIDIA is hiring Senior Deep Learning Scientists to advance our efforts in streaming and agentic multimodal AI. You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse modalities. This is a chance to define core algorithmic improvements for multimodal foundation models, scaling your ideas through our Nemotron Omni and VoiceChat platforms.

You will work on high-impact, high-visibility large language models and multimodal AI products that improve the experience for millions of users. If you are creative and passionate about solving real-world agentic AI challenges, come join our Nemotron LLM team. For more details on Nemotron LLM, check https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/ What you'll be doing: Apply fundamental and applied research to develop, train, fine-tune, and deploy large language models for agentic systems encompassing audio-visual reasoning, tool usage, and document understanding

Advance post-training and alignment methods including instruction tuning, preference optimization, and RLHF/RLVR/MOPD to improve multimodal agents for complex use cases. Research and develop agentic reasoning and grounded perception capabilities, focusing on planning, tool execution, and long-horizon task completion across digital and physical environments. Lead the collection, development, and benchmarking of multimodal datasets, ensuring high-quality evaluation of model accuracy, safety, and task completion success.

What we need to see: Master's degree (or equivalent experience) or PhD in Computer Science, AI, or Applied Math with 8+ years of relevant work experience. Excellent programming skills in Python with strong fundamentals in scalable model development and deep learning frameworks like PyTorch. Strong knowledge of ML/DL techniques and modern foundation model architectures, including Transformers and mixture-of-experts models.

Foundational understanding of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design. Hands-on experience in post-training multimodal models for omni-modality (audio-visual) reasoning, full-duplex voice chat, and human-AI interaction. Proven ability to manage model development life cycles, including dataset versioning, experiment tracking, and evaluation pipelines.

Ways to stand out from the crowd: Strong record of publications in top-tier AI and machine learning venues such as NeurIPS, ICML, ICLR, or CVPR. Validated experience training and deploying multimodal foundation models using large-scale distributed infrastructure. Experience applying deep reinforcement learning techniques to train multimodal agents in complex simulation or gaming environments.

Background in audio/speech AI, especially audio language models or audio generation. Background in building embodied AI systems that integrate multimodal perception with backend action-fulfillment and long-horizon planning. With highly competitive salaries and a comprehensive benefits package, NVIDIA is considered one of the industry's most desirable employers.

As you plan your future, see what we can offer you and your family at www.nvidiabenefits.com/. If you are a creative and autonomous engineer with a genuine passion for state-of-the-art technology, we want 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 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 25, 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