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Graphic Designer

Sixsense Pte Ltd 🇮🇳 Bengaluru, Bangalore North, India

Onsite Full-time Mid-level

The role involves designing engaging visuals for social media, blogs, newsletters, and marketing collateral. The designer will collaborate with marketing teams to ensure brand consistency across all digital platforms and landing pages.

Responsibilities

  • Design eye-catching social media creatives for various platforms
  • Create visuals for blogs, newsletters, and email campaigns
  • Develop marketing collateral including banners, ads, brochures, and presentations
  • Design and optimize website and landing page visuals
  • Collaborate with marketing and content teams to align designs with brand guidelines
  • Ensure consistency in design across all channels and materials
  • Manage multiple projects and deliver within deadlines

Requirements

  • Strong design sense with a keen eye for detail
  • Proficiency in design tools such as Figma, Adobe Creative Suite (Photoshop, Illustrator, etc.), or Canva
  • Ability to work independently and manage time effectively
  • Good understanding of layout, typography, color theory, and visual hierarchy
  • Strong communication skills and openness to feedback

Benefits

  • Opportunity to work on diverse and impactful creative projects
  • Collaborative and growth-focused environment
  • Creative freedom to experiment and innovate

Key Skills

Graphic design Figma Adobe Creative Suite Photoshop Illustrator Canva Layout Typography Color theory Visual hierarchy Communication Time management Independence Collaboration Digital marketing Content creation UI/UX principles Motion graphics Video editing

About Sixsense Pte Ltd

SixSense builds AI systems that reduce wafer exposure and accelerate root cause analysis in semiconductor wafer fabs and assembly & test operations. We transform inspection, metrology, and test data into early containment intelligence — helping manufacturers minimize the total economic impact of yield incidents. Our product suite includes AI-ADC (AI-powered automated defect classification for optical and SEM inspection images), along with detection and traceability systems that identify systemic wafer patterns, quantify exposure, and isolate suspect tools before issues escalate into major yield events.

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