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Gpu Performance Engineer Jobs in Ohio (NOW HIRING)

SassyClassy

$69.41 - $92.55/hr

... GPU-Server, LLM Serving, ComfyUI) * Entwicklung von internen Python-Tools und CLI-Anwendungen zur ... Performance-Monitoring und Optimierung der AI-Systeme * Code-Reviews und technische Dokumentation ...

STR

Lead Software Engineer

Dayton, OH

$157K - $223K/yr

Experience with GPU programming and optimization (CUDA) * Strong proficiency in C/C++ for high-performance, real-time applications * Experience with Linux and embedded systems development

Ingenieurbüro Gunnar Heimann

$97.01 - $136.95/hr

GPU-Workloads** oder **High-Performance-Systemen**. Sprachkenntnisse * Deutsch und Englisch jeweils mindestens verhandlungssicher. Persönliche Stärken * Strukturierte, selbstständige Arbeitsweise ...

Siemens

CFD Solver Developer (LBM)

Cincinnati, OH · On-site

... Engineer who enjoys working at the intersection of numerical methods, high-performance computing ... Implementing meshing algorithms and data structures for GPU architectures in a distributed memory ...

STR

Lead Software Engineer

Dayton, OH

$157K - $223K/yr

Experience with GPU programming and optimization (CUDA) * Strong proficiency in C/C++ for high-performance, real-time applications * Experience with Linux and embedded systems development

STR

Lead Software Engineer

Dayton, OH · On-site

$157K - $223K/yr

Experience with GPU programming and optimization (CUDA) * Strong proficiency in C/C++ for high-performance, real-time applications * Experience with Linux and embedded systems development

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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 Ohio?

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

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

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

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

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

Gpu Performance Engineer jobs near you

AI Engineer:in

On-site

SassyClassy
See more jobs at SassyClassyexternal

$69.41 - $92.55/hr

Other

Posted 11 days ago

Job description

SASSYCLASSY ist ein wachstumsstarkes Fashion E-Commerce Unternehmen mit Sitz in München. Wir verbinden trendige Mode mit einer starken Community und innovativen digitalen Lösungen. Zur Verstärkung unseres IT-Teams suchen wir eine AI Engineerin, der/die unsere KI-Infrastruktur technisch auf das nächste Level bringt.

Wieso brauchen wir dich?

Als AI Engineer*in bist du die technische Kernkraft hinter unseren KI-Lösungen. Während unsere AI & Automation Manager die Strategie und No-Code-Automations verantworten, baust du die Custom-Lösungen: AI Agents, RAG-Pipelines, API-Integrationen und Machine-Learning-Modelle. Du programmierst, testest und deployst – und machst SASSYCLASSY zum technologischen Vorreiter im Fashion E-Commerce.

Was werde ich machen?
  • Entwicklung von Custom AI Agents und autonomen Workflows (Claude Code, LangChain, CrewAI)
  • Aufbau und Optimierung von RAG-Systemen (Retrieval-Augmented Generation) für unternehmensspezifisches Wissen
  • Programmierung von API-Integrationen zwischen Shopify, ClickUp, Akeneo und AI-Services
  • Entwicklung und Fine-Tuning von Machine-Learning-Modellen für E-Commerce Use Cases (Produktempfehlungen, Demand Forecasting, Sentiment Analysis)
  • Aufbau und Wartung der lokalen KI-Infrastruktur (GPU-Server, LLM Serving, ComfyUI)
  • Entwicklung von internen Python-Tools und CLI-Anwendungen zur Prozessautomatisierung
  • Implementierung von CI/CD-Pipelines für AI-Modelle und -Services
  • Performance-Monitoring und Optimierung der AI-Systeme
  • Code-Reviews und technische Dokumentation
Was sucht ihr denn?
  • Abgeschlossenes Studium in Informatik, Data Science, Machine Learning oder vergleichbar
  • Mindestens 2 Jahre Berufserfahrung in der Software-Entwicklung mit Fokus auf AI/ML
  • Erfahrung mit LLM-APIs (OpenAI, Anthropic Claude, lokale Modelle via Ollama/vLLM)
  • Erfahrung mit Vektor-Datenbanken (Pinecone, Weaviate, ChromaDB)
  • Verständnis von Docker, Linux-Server-Administration und Cloud-Infrastruktur
  • Erfahrung mit Git und modernen Entwicklungs-Workflows
  • Grundkenntnisse in SQL und Datenbank-Design
  • Problemlösungskompetenz und eigenständige Arbeitsweise
  • Gute Deutsch- und sehr gute Englischkenntnisse
  • Technische Pionierrolle: Baue die gesamte AI-Infrastruktur eines wachsenden Unternehmens auf
  • Zugang zu leistungsstarker Hardware (lokaler GPU-Server mit RTX 4090/5090)
  • Freie Technologiewahl und Experimentierfreiheit
  • Flexible Arbeitszeiten und Remote-Work-Möglichkeiten
  • Attraktives Gehalt und Mitarbeiterrabatte auf unser Fashion-Sortiment
  • Flache Hierarchien und direkter Austausch mit der Geschäftsführung
  • Großzügiges Weiterbildungsbudget für Konferenzen, Kurse und Zertifizierungen
  • Modernes Büro in München mit guter Verkehrsanbindung
Über uns

Seit 2014 kleidet SASSYCLASSY modebewusste Frauen mit sassy und classy Teilen ein. Gegründet von uns drei Geschwistern, Roxana, Denys und Boaz, ist die SASSYCLASSY Familie mittlerweile auf ein dynamisches und diverses Team von 60 gewachsen. Seit 2020 haben wir unser neues Headquarter in München geöffnet. Hast du auch Lust Teil des Teams zu werden?

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