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Senior Citrix Engineer Jobs in Oregon (NOW HIRING)

Senior HPC AI Cluster Engineer

OR · On-site +1

$104K - $143K/yr

... or Citrix) Familiarity with cloud computing platforms (e.g AWS, Azure, Google Cloud) Ways to stand ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

Senior Citrix Engineer information

See Oregon salary details

$11

$56

$80

How much do senior citrix engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for senior citrix engineer in Oregon is $56.64, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $69.38 per hour, depending on experience, location, and employer.

What is a senior Citrix engineer?

Senior Citrix Engineers are experienced IT professionals who design, implement, manage, and troubleshoot Citrix environments within organizations. They specialize in virtualization technologies, such as Citrix Virtual Apps and Desktops, to provide secure remote access to applications and desktops. Their responsibilities include configuring Citrix infrastructure, ensuring system performance, optimizing user experience, and maintaining security standards. Senior Citrix Engineers often lead projects, mentor junior staff, and collaborate with other IT teams to deliver efficient solutions.

What are the key skills and qualifications needed to thrive as a senior Citrix engineer?

To thrive as a Senior Citrix Engineer, you need deep expertise in designing, implementing, and troubleshooting Citrix environments, along with a strong understanding of Windows Server, networking, and virtualization technologies. Familiarity with tools like Citrix Virtual Apps and Desktops, Citrix ADC (NetScaler), and certifications such as Citrix Certified Professional (CCP) are typically required. Strong problem-solving, communication, and project management skills set standout candidates apart in this role. These skills ensure reliable delivery of virtualized solutions, optimal user experience, and secure, scalable IT infrastructures.

What are some common challenges faced by senior Citrix engineers when supporting large-scale virtual desktop environments?

Senior Citrix Engineers often encounter challenges such as ensuring consistent performance across a large number of users, troubleshooting complex issues related to application compatibility, and maintaining system security while enabling remote access. Balancing user experience with resource optimization and managing frequent updates or patches can also be demanding. Effective communication with cross-functional teams, such as network administrators and support staff, is crucial to quickly resolve issues and implement improvements.

What are popular job titles related to Senior Citrix Engineer jobs in Oregon?

For Senior Citrix Engineer jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Senior Citrix Engineer jobs?

Cities in Oregon with the most Senior Citrix Engineer job openings:

Senior HPC AI Cluster Engineer

OR • On-site, Remote


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


$104K - $143K/yr

Full-time

Posted 18 days ago


Job description

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking technologies. We are looking for an outstanding engineer, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing.

Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What you will be doing: Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedules and orchestration tools Develop and maintain continuous integration and delivery pipelines Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources Deploy monitoring solutions for the servers, network and storage Perform troubleshooting bottom up from bare metal, operating system, software stack and application level Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and engage in POCs/POVs for future improvements What we need to see: A degree in Computer Science, Engineering, or a related field (or equivalent experience) and 8+ years of experience Knowledge of HPC and AI solution technologies from CPU's and GPU's to high speed interconnects and supporting software Experience with job scheduling workloads and orchestration tools such as Slurm, K8s Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc. Experience with multiple storage solutions such as Lustre, GPFS, Weka.io

Familiarity with newer and emerging storage technologies. Python programming and bash scripting experience. Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef Deep knowledge of Networking Protocols like InfiniBand, Ethernet Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix) Familiarity with cloud computing platforms (e.g

AWS, Azure, Google Cloud) Ways to stand out from the crowd: Knowledge of CPU and/or GPU architecture Knowledge of Kubernetes, container related microservice technologies Experience with GPU-focused hardware/software (DGX, Cuda) Experience with RDMA (InfiniBand or RoCE) fabrics With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for 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 176,000 USD - 276,000 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 24, 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.


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


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Pay

Benefits

Hours and flexibility

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