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Gpu Performance Engineer Jobs in Remote, OR (NOW HIRING)

... delivers the automation, GPU orchestration, and policy-driven control needed to manage ... performance of customer environments remotely and supporting any Mirantis Opensack/k0s layers they ...

... delivers the automation, GPU orchestration, and policy-driven control needed to manage ... performance of customer environments remotely and supporting any Mirantis Opensack/k0s layers they ...

... delivers the automation, GPU orchestration, and policy-driven control needed to manage ... Strong Ceph experience, including troubleshooting cluster health, OSD and MON issues, performance ...

... delivers the automation, GPU orchestration, and policy-driven control needed to manage ... Strong Ceph experience, including troubleshooting cluster health, OSD and MON issues, performance ...

Gpu Performance Engineer information

See Remote, OR salary details

$11

$60

$97

How much do gpu performance engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for gpu performance engineer in Remote, OR is $60.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $67.98 per hour, depending on experience, location, and employer.

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

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What are some common challenges faced by GPU Performance Engineers when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU Performance Engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Remote, OR? For Gpu Performance Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Remote, OR look for? The top searched job categories for Gpu Performance Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Gpu Performance Engineer jobs? Cities near Remote, OR with the most Gpu Performance Engineer job openings:
Technical Support Engineer

Technical Support Engineer

Mirantis

On-site

Full-time

Posted 18 days ago


Job description

Company Description

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.  https://www.mirantis.com/

Job Description

The Technical Support Engineer is a mid-level role responsible for maintaining the reliability and performance of customer environments remotely and supporting any Mirantis Opensack/k0s layers they run along with it. The ideal candidate brings hands-on Linux administration experience, with the ability to diagnose and resolve system-level issues efficiently. A solid working knowledge of Kubernetes and Openstack is desired - including cluster operations, components workload management, and troubleshooting containerized environments.  

Main Responsibilities:

  • Proactively/Reactively troubleshoot customer environments based on Linux, OpenStack, Kubernetes, networking and other cloud technologies, detect, report and resolve issues. Alert Management. 

  • Learn and troubleshoot MOSK  (Mirantis Openstack on Kubernetes) 

  • Resolve and Handle/Triage IaaS related needs in customer datacenters.

  • Reproduce customer issues in labs where needed, confirm bug reports, provide detailed information to the development team.

  • Work closely with the development team: discuss customer issues, suggest improvements, fix product bugs, etc.

  • Own escalations end-to-end by routing issues to the appropriate teams, including OpenStack/ceph storage, networking, hardware, and infrastructure, and product engineering while maintaining accountability and follow-through.

  • Participate in weekend on call rotation and holiday coverage

  • Communicate urgently, clearly, and in detail with customers during incidents via email and remote session, providing accurate status updates and guiding them through troubleshooting and resolution

  • Work with AI tools to increase efficiency and problem solving tasks for customers. 

  • Troubleshooting server issues- DCOPs issues, Firmware upgrading, Iso, OS, Dell, Lenovo, ST Micro

  • Work to troubleshoot any DC networking asks/upgrades, triaging where applicable

Qualifications
  • High School diploma or equivalent required, four year college degree preferred or work history equivalent (3+ years technical customer support in IaaS, Saas Technologies

  • Knowledge of OpenStack, Neutron, kubernetes and object storage principles

  • Strong English speaking and writing ability required.

  • Expert Linux system administration and troubleshooting skills

  • DCOPs experience, Firmware upgrades, Iso, OS, Dell, Lenovo, ST Micro

  • Networking - tools / Netbox, LibraNMS, Verity, Tailscale,  experience with troubleshooting network issues) - Vlans, ports, spine/leaf config, change management, Fortinet, Cisco, Juniper

  • Python, scripting experience, automation concepts

  • Understanding of networking concepts and protocols 

  • Alert management experience, 

  • Standard Operating Procedure generation (SOP)

  • Change Management experience

  • Good knowledge of virtualization solutions (libvirt, KVM, VMWare)

  • Good knowledge of network and distributed storage solutions 

Preferred Qualifications

  • Experience w/ databases and message brokers (MySQL, Galera, PostgreSQL, RabbitMQ, InfluxDB, ElasticSearch, Cassandra, Zookeeper)

  • Experience with configuring, customizing, and extending monitoring tools (Grafana, Kibana, Nagios, Prometheus)

  • Experience working configuration management tools (Puppet, Chef, Salt, Ansible, Helm)

  • Kubernetes experience, openstack frameworks

  • TOR switching, networking concepts

Additional Information

What does Mirantis offer you?
- Work with an established Silicon Valley leader in the cloud infrastructure industry;
- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
- Be a part of cutting-edge, open-source innovation;
- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
- Internship provides you with the opportunity to combine work and education;
- Professional development and training;
- Attend conferences and working groups;
- Modern bright office, centrally located and close to public transportation;
- Customized workstation (macOS, Windows, Linux);
- Company outings, happy hours, hackathons, and tech talks;
- Receive a competitive compensation package with a strong benefits plan.

We are a Leader for Container Management in G2 (#2 after AWS)!