Full-Time

Senior Graphic Designer

Updated on 8/7/2026

Ultralytics

Ultralytics

51-200 employees

Develops real-time computer vision AI models

Compensation Overview

$80k - $150k/yr

+ Equity packages

London, UK + 2 more

More locations: Madrid, Spain | New York, NY, USA

Hybrid

Hybrid work is available at the London or Madrid hub; applicants need legal work authorization in the country of application.

Category
Art, Graphics & Animation (2)
,
Required Skills
Cinema 4D
Adobe InDesign
Blender
Adobe Creative Suite
Adobe Photoshop
Adobe After Effects
Git
Figma
Adobe Premiere Pro
Animation
Adobe Illustrator
3D Modeling
Video Editing
Graphic Design
Computer Vision

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Requirements
  • Five to eight years of graphic design experience in a fast-paced technology, artificial intelligence, software-as-a-service, or startup environment.
  • A strong portfolio demonstrating excellence across brand, marketing, events, digital, and print design.
  • Advanced proficiency in Adobe Creative Suite, including Photoshop, Illustrator, InDesign, After Effects, and Premiere Pro.
  • Strong Figma skills with experience collaborating across design systems and product teams.
  • Experience creating motion graphics and editing engaging short-form video content.
  • Ability to translate complex technical concepts, such as artificial intelligence or developer tools, into clear, compelling visual communication.
  • Excellent visual craftsmanship with strong typography, layout, and attention to detail.
  • Ability to manage multiple projects simultaneously through strong organization and time management.
  • Strong communication skills and a collaborative approach with openness to feedback and iteration.
  • Curiosity about artificial intelligence, technology, and emerging design trends.
  • Ability to work hybrid at the London or Madrid hub.
  • Legal authorization to work in the country of application.
Responsibilities
  • Deliver projects from concept to final execution across digital, print, and event design.
  • Design marketing campaigns, social media content, and optimized web graphics for ultralytics.com.
  • Produce presentations, announcements, and communication assets that make technical concepts easy to understand.
  • Create sales and marketing collateral that supports product launches and customer adoption.
  • Design event branding, booth graphics, signage, merchandise, and print-ready production files.
  • Produce motion graphics and short-form video content where it strengthens the story.
  • Partner with Growth, Product, and Creative teams to understand requirements and deliver high-quality visual solutions.
  • Contribute ideas through competitive research, creative exploration, and industry trends.
  • Apply and help evolve Ultralytics' visual identity across every customer touchpoint.
  • Maintain and expand reusable design assets and templates that improve team efficiency.
  • Collaborate cross-functionally to deliver cohesive, on-brand creative work.
  • Ensure design quality through careful attention to detail, consistency, and production readiness.
  • Support creative reviews by giving and receiving thoughtful feedback that improves the final outcome.
Desired Qualifications
  • Experience designing for developer-first, open-source, or B2B technology brands.
  • Experience producing visuals for documentation and technical education.
  • Familiarity with 3D tools such as Blender or Cinema 4D.
  • Experience supporting community-focused initiatives, events, or developer programs.

Ultralytics builds computer vision AI tools to help people create, train, and deploy models. Its main products are Ultralytics HUB, a no-code platform with drag-and-drop data handling, cloud training, team collaboration, and an inference API, and Ultralytics YOLO, a family of fast real-time detection, segmentation, classification, and tracking architectures for edge and cloud deployment. The company differentiates itself with a strong open-source base paired with an enterprise licensing model, plus paid HUB plans and managed data labeling services. Its goal is to make AI easy to use for individuals and organizations by simplifying the journey from data to deployed AI at scale.

Company Size

51-200

Company Stage

Series A

Total Funding

$30M

Headquarters

Arlington, West Virginia

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • Intel collaboration on July 14, 2026 brings sub-5ms inference on CPUs, GPUs, NPUs.
  • YOLO26 already powers public Platform releases and up to 43% faster CPU inference.
  • Ultralytics reported 16.6 million monthly downloads and 3.3 billion global model usages.

What critics are saying

  • AGPL-3.0 pressure forces proprietary users into enterprise deals or legal exposure.
  • YOLO26 dependence creates existential risk if developers migrate to competing vision stacks.
  • Intel and DEEPX partnerships deepen hardware dependency, weakening bargaining power by 2027.

What makes Ultralytics unique

  • YOLO26 launched January 14, 2026 with native end-to-end, NMS-free inference.
  • Ultralytics Platform unifies annotation, training, export, and deployment across Intel hardware.
  • Enterprise licensing monetizes commercial use while keeping YOLO broadly open-source.

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Benefits

Flexible Work Hours

Paid Vacation

Paid Holidays

Hybrid Work Options

Company Equity

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

52%

1 year growth

52%

2 year growth

42%
Associated Press
Jul 14th, 2026
Ultralytics YOLO26 brings sub-5ms inference to Intel CPUs and NPUs for edge AI deployment

Ultralytics has partnered with Intel to optimise its YOLO computer vision models for Intel processors. The collaboration enables deployment across CPU, GPU, and NPU platforms using Intel's OpenVINO Toolkit, achieving sub-5-millisecond inference on Intel hardware. The integration allows developers to deploy YOLO models on existing Intel-powered infrastructure without requiring discrete GPUs. Applications span manufacturing quality inspection, logistics tracking, retail inventory monitoring, healthcare imaging, robotics, and smart cities. Developers can train and export applications using Ultralytics' existing platform with a single command. The partnership brings real-time vision AI to edge devices including industrial PCs, laptops, and factory-floor equipment. Ultralytics' YOLO models have accumulated over 135,000 GitHub stars and 3.3 billion model usages globally.

PR Newswire
May 14th, 2026
DEEPX and Ultralytics partner to set physical AI standard for YOLO's 16.6M monthly downloads

DEEPX, a Seoul-based AI semiconductor company, has partnered with Ultralytics, creator of the widely deployed YOLO computer vision architecture, to establish a global standard for physical AI applications. The alliance integrates DEEPX's ultra-low-power neural processing units directly into the Ultralytics ecosystem, which sees over 16.6 million monthly downloads. Developers can now deploy computer vision models to DEEPX hardware using a single command, format=deepx, within the Ultralytics Python package. The partnership includes automated model quantization pipelines and continuous integration to ensure compatibility with future updates. DEEPX's mass-produced DX-M1 NPU will serve as the foundational hardware for applications in robotics, industrial machinery and smart vehicles. The companies count Hyundai Motor Group, Baidu and over 50 customers globally amongst their clients.

Tech in Asia
Apr 13th, 2026
Korean chip startup DeepX debuts AI module in Japan.

Korean chip startup DeepX debuts AI module in Japan. Fabless chip company DeepX showed its mass-produced DX-M1 module at Japan DX Week 2026 in Tokyo, as it moves to win customers in Japan's embedded IoT and robotics markets. DeepX said it plans to unveil the DX-M2 in H2 to widen its push into chips for robots and industrial equipment. The company also said partners demos with DX-M1, and that distributors visiting its booth highly rated the module's power-performance ratio, while DeepX cited demand in Japan for high-performance, low-power edge AI systems. Food for thought. Implications, context, and why it matters. DeepX arrives in Japan with proven global traction * DeepX enters Japan after landing 27 commercial purchase orders in eight countries within seven months of starting mass production of the first-generation DX-M1 AI chip 1. * Ahead of mass production, DeepX ran proof-of-concept trials with about 350 companies worldwide, which helped fill the sales pipeline early 2. * DeepX also set up distribution through Avnet, DigiKey, and WPG, a Taiwan-based semiconductor distribution group. Analysts call this an uncommon step for an emerging fabless semiconductor company, which designs chips but outsources manufacturing, at this stage 1. The next-generation chip aims to move more AI workloads off the cloud * The upcoming DX-M2 targets large language models with up to 100 billion parameters while using less than 5 watts of power 3. * DeepX expects the chip to shift heavier AI tasks from data centers to edge devices, with a forecast of cutting data center traffic by more than 80% 3. * This move may pressure the pay-per-use AI service model used by cloud providers, push more value toward hardware makers, and support autonomous robots that run without network connectivity 3. * DeepX is forming an "Open-Source Physical AI Alliance" with Ultralytics, known for AI computer vision software, and Baidu PaddlePaddle, the AI development platform of Chinese tech company Baidu, to widen the developer ecosystem for edge deployment 3. Stay updated on the go with our mobile app. Get latest insights with smoother, more personalized experience through TIA mobile app. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!

Yahoo Finance
Mar 18th, 2026
Ultralytics launches end-to-end vision AI platform with 2.5B daily inferences

Ultralytics, the company behind the YOLO object detection models, has launched Ultralytics Platform, an end-to-end vision AI development system. The platform integrates annotation, cloud training with 22 GPU options, and deployment across 43 regions in a single environment. With 125,000 GitHub stars and 225 million package downloads, Ultralytics' YOLO models power 2.5 billion daily inferences across manufacturing, logistics, healthcare and autonomous vehicles. The platform addresses fragmentation in computer vision workflows by connecting previously separate tools for dataset creation, training and deployment. Since launch, developers have uploaded over 50 million images and created more than 150 million annotations. The platform features SAM-powered smart annotation, real-time experiment tracking and built-in production monitoring.

Ultralytics
Nov 10th, 2025
Ultralytics' key highlights from YOLO Vision 2025 Shenzhen!

Ultralytics' key highlights from YOLO Vision 2025 Shenzhen! November 10, 2025 Revisit key moments from YOLO Vision 2025 Shenzhen, where Ultralytics brought together innovators, partners, and the AI community for a day of inspiration.