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Gpu Performance Engineer Jobs in Missouri (NOW HIRING)

$80K - $110K/yr

... large GPU clusters. * Analyze performance considerations such as sharding strategies, custom ... Apply strong software engineering practices, including CI/CD, version control, unit testing, and ...

Distinguished, Software Engineer

Noel, MO · On-site

$130K - $260K/yr

... runtime environments, GPU and cloud-native infrastructure. * Architect secure execution ... Improve platform performance by optimizing startup latency, scalability, resource utilization, and ...

... runtime environments, GPU and cloud-native infrastructure. * Architect secure execution ... Improve platform performance by optimizing startup latency, scalability, resource utilization, and ...

... runtime environments, GPU and cloud-native infrastructure. * Architect secure execution ... Improve platform performance by optimizing startup latency, scalability, resource utilization, and ...

Senior ASIC Design Engineer

California, MO · On-site

$168 - $310.50/hr

An era in which our GPU acts as the brains of computers, robots, and self‑driving cars that can ... Analyze architectural trade‑offs based on features, performance requirements and system ...

Showing results 41-60

Gpu Performance Engineer information

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 are some common challenges faced by a GPU performance engineer 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 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 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 Missouri?

For Gpu Performance Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Gpu Performance Engineer jobs in Missouri look for?

The top searched job categories for Gpu Performance Engineer jobs in Missouri are:

What cities in Missouri are hiring for Gpu Performance Engineer jobs?

Cities in Missouri with the most Gpu Performance Engineer job openings:

Senior Hardware Engineering Manager

Jobtailor

California, MO • On-site

$180 - $260/hr

Other

Posted 5 days ago


Job description

  • Manage and grow a multidisciplinary team of board design, SI/PI, thermal, power delivery, and firmware engineers across Fremont and Portland
  • Own hiring, onboarding, coaching, and performance development for direct reports
  • Drive GPU and compute server platform programs from architecture through EVT, DVT, PVT, and mass production
  • Manage schedule, resource loading, quality, and cross-functional dependencies
  • Provide hands‑on technical direction across schematic, layout, SI/PI, thermal, power, and firmware deliverables
  • Guide design trade‑offs and lead complex root‑cause debugging across hardware, firmware, and system integration
  • Run design reviews and quality gates against Hyve's board design review framework
  • Drive improvement in first‑pass success, yield, and time to market
  • Act as a primary engineering point of contact for Hyperscaler counterparts
  • Communicate technical status, risks, and commitments to customers, partners, and senior leadership
  • Partner with Taiwan design, operations, manufacturing, and validation teams
  • Work with Operations, Manufacturing, and Quality to scale prototypes to high-volume production
  • Support datacenter deployment with rapid issue triage and corrective action
Requirements
  • Bachelor's or Master's in Electrical Engineering, Computer Engineering, or a related field
  • 12 or more years of hardware engineering experience
  • At least 3 years directly managing hardware engineers with hiring and performance responsibility
  • Proven delivery of server, GPU, or accelerator platforms into high-volume production
  • Working command of board design
  • Working command of high-speed interfaces including PCIe Gen5/Gen6, CXL, NVLink, and Ethernet
  • Knowledge of power delivery networks
  • Knowledge of thermal design for air and liquid cooling
  • Knowledge of platform firmware
  • Demonstrated ownership of multiple concurrent platform programs through EVT, DVT, and PVT
  • Experience with schedule construction, risk management, and resource planning
  • Track record of attracting, developing, and retaining engineering talent
  • Strong written and verbal communication skills
  • Ability to represent engineering decisions to customers, partners, and senior leadership
  • Preferred: direct experience supporting Hyperscalers or large cloud providers in an ODM or JDM model
  • Preferred: experience standing up a new engineering team or site
  • Preferred: familiarity with liquid‑cooled AI system design and rack‑level integration
  • Preferred: experience operating across US and Taiwan engineering teams
Core Competencies

Demonstrates expertise in managing multidisciplinary engineering teams, driving GPU and compute server platform programs from architecture through production, and ensuring high-quality deliverables across hardware and firmware. Proven ability to communicate effectively with stakeholders and manage complex project schedules and resources.

Highest-signal resume keywords
  • Hardware Engineering Management
  • GPU Platform Development
  • Board Design Expertise
  • High-Speed Interface Knowledge
  • Performance Development
ATS Optimization KeywordsHard Skills
  • Electrical Engineering
  • Computer Engineering
  • Board Design
  • High-Speed Interfaces
  • Power Delivery Networks
  • Thermal Design
  • Platform Firmware
  • Schedule Construction
  • Risk Management
  • Resource Planning
Soft Skills
  • Strong Communication Skills
  • Team Leadership
  • Coaching and Mentoring
Industry Keywords
  • Hyperscaler
  • Cloud Providers
  • ODM
  • JDM
  • Liquid-Cooled AI System Design
Tools & Technologies
  • PCIe Gen5
  • PCIe Gen6
  • CXL
  • NVLink
  • Ethernet
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