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Nemo Design Jobs (NOW HIRING)

Hands-on design and ship methodologies, code, and reference architectures that bring RAG, LLM inference, and Multi-Agent workflows to life using NVIDIA libraries (NeMo, NIMs, Triton, Tensor-RT, etc ...

OR · Hybrid

Hands-on design and ship methodologies, code, and reference architectures that bring RAG, LLM inference, and Multi-Agent workflows to life using NVIDIA libraries (NeMo, NIMs, Triton, Tensor-RT, etc ...

Sr. AI Engineer

Edison, NJ

$105.90K - $145.50K/yr

... Design Generative AI AI/ML ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor's Degree required. Preferred Skills: Experience with Nvidia NeMo Inference Manager (NIM ...

Design, develop, fine-tune, and deploy generative AI models into scalable production environments ... Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services

... design teams. * Partner with Sales and Solutions Engineering to define Ideal Customer Profiles ... Engage deeply with NVIDIA AI Enterprise capabilities (NIM microservices, NeMo Guardrails, GPU ...

Staff Software Engineer, AI

San Jose, CA · Hybrid

$184K - $230K/yr

You will be responsible for helping design, build, and deliver a platform that not only accelerates ... Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.). * Experience with ...

CNC Programmer

Caldwell, ID · On-site

$70K - $100K/yr

Interpret complex blueprints, CAD models. Qualifications: * Minimum 5 years of experience programming CNC machines. * Expert proficiency in GibbsCAM is required. * Strong knowledge of G-code/M-code ...

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Showing results 1-20

Nemo Design information

See salary details

$80.5K

$139.4K

$182.5K

How much do nemo design jobs pay per year?

As of May 31, 2026, the average yearly pay for nemo design in the United States is $139,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Graphic Designer, and why are they important?

To thrive as a Graphic Designer, you need a solid background in visual design principles, proficiency in typography, color theory, and a relevant degree or portfolio demonstrating your abilities. Mastery of design software such as Adobe Creative Suite (Photoshop, Illustrator, InDesign) and familiarity with digital asset management systems are typically required. Creativity, attention to detail, and effective communication are essential soft skills that help you interpret client needs and collaborate with teams. These skills are crucial for producing compelling, on-brand visuals that meet project objectives and support overall business goals.

What types of projects can a designer expect to work on at Nemo Design, and how does the team typically collaborate throughout the creative process?

At Nemo Design, designers often work on a diverse range of projects, from brand development and digital campaigns to product launches and experiential marketing. The team is highly collaborative, with designers working closely alongside strategists, copywriters, and project managers from concept to final execution. Regular brainstorming sessions, critiques, and cross-disciplinary teamwork are integral to the workflow, ensuring creativity and cohesion in every project. This environment not only fosters learning and growth but also encourages designers to take ownership of their ideas and contribute meaningfully to client solutions.

What is Nemo Design?

Nemo Design is a creative agency based in Portland, Oregon, specializing in brand strategy, design, and marketing for active lifestyle and sports brands. They provide services such as brand development, digital and print design, content creation, and experiential marketing. Nemo Design is known for its innovative approach and collaborative culture, working with clients like Nike, Converse, and other major brands. Their team consists of designers, strategists, and storytellers who help brands connect with their audiences in meaningful ways.

What is the difference between Nemo Design vs Graphic Designer?

AspectNemo DesignGraphic Designer
CredentialsPortfolio, relevant design experience, sometimes a degree in design or related fieldDegree in Graphic Design, Visual Arts, or related field; portfolio required
Work EnvironmentCreative agency, marketing firms, branding studiosDesign studios, advertising agencies, corporate in-house teams
Industry UsageUsed in branding, marketing, digital media projectsUsed across advertising, publishing, digital media, branding

Both Nemo Design and Graphic Designer roles require a strong portfolio and relevant design credentials. Nemo Design typically refers to a specific agency known for branding and marketing projects, while a Graphic Designer is a broader role found in various industries. The work environments overlap but may differ based on company size and focus. Understanding these differences helps clarify career paths and job expectations in the creative industry.

More about Nemo Design jobs
What cities are hiring for Nemo Design jobs? Cities with the most Nemo Design job openings:
What states have the most Nemo Design jobs? States with the most job openings for Nemo Design jobs include:
What job categories do people searching Nemo Design jobs look for? The top searched job categories for Nemo Design jobs are:
Infographic showing various Nemo Design job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $139,368 per year, or $67 per hour.
Senior GenAI Engagement Lead, Partner Platforms

Senior GenAI Engagement Lead, Partner Platforms

Nvidia

Santa Clara, CA • Hybrid

Full-time

Posted 26 days ago


Job description

We are seeking a hands-on, highly technical Partner Engagement Lead to drive deep technical integration of our Generative AI software with our most strategic enterprise ISV and CSP partners. As the key technical lead for your assigned partners, you will build trusted relationships with their Platform Architects and accelerate the adoption of NVIDIA's offerings across critical enterprise initiatives.

This role demands versatility to operate proficiently at the intersection of platform strategy, strong hands-on technical execution, and business acuity with senior leaders, staying ahead of the advancements in Generative and Agentic AI. You will influence product direction, infrastructure investments, and ensure the deployment of robust, scalable GenAI solutions that redefine enterprise capabilities!

What you will be doing:

  • Build and drive the technical integration of our GenAI offerings across a focused set of ISV and CSP Platforms, collaborating closely with their Platform Architects. Define technical objectives, timelines, and product adoption strategy, aligning with each partner's long-term business objectives.

  • Hands-on design and ship methodologies, code, and reference architectures that bring RAG, LLM inference, and Multi-Agent workflows to life using NVIDIA libraries (NeMo, NIMs, Triton, Tensor-RT, etc.) as well as vLLM, LangChain, vector DBs, MCP, A2A, and related technologies, deployed across major CSP platforms such as AWS, Azure, GCP, etc.

  • Own the technical product engagement. Drive regular meetings, progress tracking, adoption status, and internal reporting consistent with NVIDIA's culture. You will work closely with NVIDIA Product, Engineering, Research, Solution Architecture, and other organizations to achieve the most efficient solution.

  • Develop understanding across all stages of GenAI lifecycle with depth in select areas such as Data Curation, LLM Pre-training, Finetuning such as PEFT, SFT, post-training, Reasoning, RAG, Multi-agent workflows and LLM Inference for production deployments.

  • Represent Partner needs and architecture design to Product and Engineering teams. Contribute to Product roadmap by articulating insights from large-scale enterprise environments and cross-industry patterns, captured from ISV engagements.

  • Develop expertise in GenAI Platform Architecture and keep up to date with the latest in the industry and NVIDIA libraries, models, and frameworks to best support the partner Platform teams.

What we need to see:

  • 8+ years of proven experience in technical Product or Engineering roles in Enterprise Software, Cloud Platforms, and production deployments with a focus on building partner integrations.

  • Masters or PhD in Computer Science, Electrical Engineering or equivalent experience.

  • Strong background in AI/ML and Deep Learning with hands-on experience building enterprise-grade GenAI systems such as intricate RAGs, Multi-Agent architectures, and production LLM deployments in a customer-facing role.

  • Experience with programming languages and libraries such as HuggingFace, LangChain, Python, PyTorch, NVIDIA NeMo, vLLM, AutoGen, TensorRT-LLM, etc. and LLM application stages such as Pre-training, Customization, Inference, Evaluation, and Benchmarking.

  • Ability to swiftly research, prototype, and collaborate with multiple teams to arrive at the best technical solution for new and evolving GenAI customer scenarios driving to completion, demonstrating teamwork and ownership of large projects.

  • Strong understanding of enterprise deployments including MLOps, Cloud Native technologies such as Kubernetes, Docker, Kubeflow, and Enterprise IT environments including Security, Compliance, Governance, Data infrastructure, and Deployments across on-prem, hybrid, and multi-cloud platforms.

  • Strong executive-caliber communication, and deep curiosity for emerging AI technologies. High ownership and initiative, keeping internal and external collaborators aligned.

Ways to stand out from the crowd:

  • Track record of influencing sophisticated product decisions through trusted partner relationships, showing empathy for customer needs and an instinct for translating those into scalable platform improvements.

  • Proactive in anticipating market trends, and advocating for innovation inside and outside the org, with an in-depth knowledge of the ISV and cloud provider landscape.

  • Demonstrated agility in high-stakes environments required to deliver successful outcomes with partner collaborations especially with high-velocity GenAI landscape.

  • Strong growth and solution outlook, highly collaborative standout colleague, able to build deep trust with engineers, executives, and multi-functional teams at both NVIDIA and Partner organizations.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant, forward-thinking and hardworking people in the world working for us. There has never been a more exciting time to join!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993