Senior Brand Visual Designer at Lambda

San Jose, California, United States

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$143,000 – $214,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, TechnologyIndustries

Requirements

6+ years of experience in brand design, with a strong portfolio showcasing ability to solve complex design problems
Hands-on designer
Expert level in design tools such as Figma, Adobe Creative Suite, and prototyping tools
Strong understanding of typography, color theory, and visual composition
Excellent communication and collaboration skills, with ability to articulate design decisions and feedback clearly
Experience with website design, UI/UX, presentation design, print design, event design, social media design
Experience in a fast-paced environment
Love ideation, iteration, and attention to detail (pixel perfection)
Degree in Design, Human-Computer Interaction, or related field preferred, but not required
Fluency with AI tools and prompting to support creative exploration, accelerate workflows, and push visual innovation
Expertise in refining vector artwork, including logo design, iconography, and illustration
Track record of creating multiple websites with grid layouts, typography, and font combinations
Experience crafting motion assets using prototyping software, 2D motion tools like After Effects, or 3D software
Ability to adapt aesthetic output to brand guidelines while exploring novel visual directions
Experience establishing brands and design systems from scratch, including brand refreshes and full rebrands
Agility in iterating designs swiftly in fast-paced settings
Humble, team-first mindset with strong collaboration skills
Ability to leverage data and quantitative insights to drive design decisions
Skill in articulating design rationale with qualitative analysis and balanced perspective
Adept at providing and receiving constructive feedback
Effective engagement with diverse stakeholders (technical and non-technical)
Knowledge of industry trends and design methodologies

Responsibilities

Be a key contributor to the creation and evolution of brand identity, creating beautiful and intuitive designs for marketing, product, and internal initiatives
Work with marketing, product, and engineering teams to ensure cohesive brand messaging and high-quality design outputs
Craft design assets across web, print, and presentation
Manage multiple design projects to ensure timely delivery
Experiment with new design tools to enhance the brand’s visual appeal
Help create and develop design processes that scale with the team

Skills

Key technologies and capabilities for this role

Graphic DesignDigital DesignMotion DesignVector ArtworkLogo DesignIconographyIllustrationTypographyGrid LayoutsWeb DesignPrototyping Software

Questions & Answers

Common questions about this position

What is the salary range for the Senior Brand Visual Designer position?

The salary range is $143K - $214K.

Is this role remote or hybrid, and what are the office requirements?

This is a hybrid position requiring presence in the San Jose office 4 days per week, with Tuesday designated as the work-from-home day.

What key skills are required for this Senior Brand Visual Designer role?

Expert level skills in graphic, digital, and motion design are required, including refining vector artwork like logo design, iconography, and illustration, plus experience with websites focusing on grid layouts, typography, motion assets using After Effects or similar, and fluency with AI tools.

What is the company culture like at Lambda for this design role?

The culture emphasizes a team-first mindset in a tight-knit team, collaboration with marketing, product, and engineering, humility, providing and receiving constructive feedback, and working in a fast-paced creative setting.

What makes a strong candidate for this Senior Brand Visual Designer position?

Strong candidates have a track record of building brands and design systems from scratch, executing rebrands, adapting aesthetics to brand guidelines while exploring new directions, using data to drive decisions, and articulating design rationale.

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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