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Gpu Performance Engineer Jobs in Kansas (NOW HIRING)

$225K - $275K/yr

Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring ... Experience with Kubernetes and Python programming. * Solid understanding of GPU computing ...

The High Performance Computing (HPC) Engineer supports and optimizes HPC environments that enable ... Understanding of GPU computing, containerization (Docker/Singularity), and modern HPC architectures.

$89.70K - $123.20K/yr

The ideal candidate will have deep expertise in ML inference optimization, GPU programming, and ... Architect and implement high-performance inference pipelines capable of processing gigapixel ...

$105.10K - $138.60K/yr

We empower our customers with the best performance driven platform for them to drive the best ... Interest or experience in computational graphics, GPU programming, game development, game theory ...

Senior Software Engineer

Olathe, KS · On-site

$118.40K - $156.10K/yr

... performance of existing functionality * Decomposes functional requirements into well-defined tasks ... Familiarity with GPU-enabled infrastructure, accelerated compute environments, and scalable ...

Senior Software Engineer

Olathe, KS · On-site

$118.60K - $156.40K/yr

... performance of existing functionality * Decomposes functional requirements into well-defined tasks ... Familiarity with GPU-enabled infrastructure, accelerated compute environments, and scalable ...

Senior Software Engineer

Olathe, KS · On-site

$115.90K - $152.80K/yr

... performance of existing functionality • Decomposes functional requirements into well-defined ... with GPU-enabled infrastructure, accelerated compute environments, and scalable inference ...

Experience deploying and troubleshooting GPU Hardware * Strong understanding of operating systems ... Ability to create and define key performance metrics to help drive efficiency * Ability to operate ...

Gpu Performance Engineer information

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.

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$225K - $275K/yr

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You're welcome to work remotely from the United States.

Your responsibilities will include:

  • Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
  • Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
  • Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
  • Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
  • Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

  • Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
  • Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
  • Experience with Kubernetes and Python programming.
  • Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
  • Customer-centric approach with a proven ability to build trust and foster long-term relationships.
  • Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

  • Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
  • Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
  • Proven experience mentoring technical teams and driving team growth.
  • Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Key Employee Benefits:

  • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) Plan: Up to 4% company match with immediate vesting.
  • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote Work Reimbursement: Up to $85/month for mobile and internet.
  • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $225k - $275k OTE (On-Target Earnings) and equity based on your experience, skills, and location.

Join Nebius Today!