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Nemo Jobs (NOW HIRING)

NVIDIA

Solutions Architect, AI Models

Santa Clara, CA · On-site

$74 - $97.50/hr

Preferred : • Experience with and/or contributions to open-source NVIDIA AI libraries and models, particularly Nemotron, NeMo, NeMo Framework, NeMo-RL. • Hands-on experience with data curation ...

Apropros Testing

Cloned

Liberty, MO · On-site

$38.69/hr

Dicta nemo ad quaerat reiciendis autem atque consequuntur. Quod enim atque assumenda repudiandae mollitia sapiente vitae. Deserunt consequatur et asperiores consequuntur sed.Voluptatem ullam sequi.

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Showing results 21-40

All JobsNemo Jobs

Nemo information

See salary details

$11K

$72.7K

$128.5K

How much do nemo jobs pay per year?

As of Aug 10, 2026, the average yearly pay for nemo in the United States is $72,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $76,000.00 per year, depending on experience, location, and employer.

What is the difference between Nemo vs Data Analyst?

AspectNemoData Analyst
Required CredentialsBachelor's in Marine Biology or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentMarine research, fieldwork, laboratoriesOffice settings, data centers, research institutions
Industry UsageMarine biology, environmental agenciesBusiness, finance, healthcare, tech

While Nemo is a fictional character often associated with marine environments, a Data Analyst works with data to identify trends and support decision-making across various industries. Both roles require analytical skills, but their work settings and credentials differ significantly.

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

Nemo is not a recognized real-world professional occupation, so specific skills and qualifications do not apply.

What is a Nemo?

Nemo jobs typically refer to positions at companies or organizations named 'Nemo,' which could range from technology firms to marine research institutions. The specific responsibilities and requirements of Nemo jobs will depend on the industry and role, such as software engineering, project management, or marine biology. If you are interested in a Nemo job, it's important to review the organization's website or job postings for detailed descriptions. These roles may offer opportunities to work in innovative environments or contribute to scientific research, depending on the company's focus. Researching the specific Nemo organization will provide the most accurate information about available positions.
What are the most commonly searched types of Nemo jobs? The most popular types of Nemo jobs are:
What states have the most Nemo jobs? States with the most job openings for Nemo jobs include:
What job categories do people searching Nemo jobs look for? The top searched job categories for Nemo jobs are:
Nemo jobs near you
Infographic showing various Nemo job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $72,691 per year, or $34.9 per hour.

Senior Solutions Architect, Agentic AI

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 26 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

We are looking for a Senior Solutions Architect to help leading Enterprise ISVs design, build, optimize, and deploy production-grade Agentic AI systems on NVIDIA's accelerated computing platform. In this role, you will partner with strategic software companies to translate frontier AI capabilities into reliable enterprise products, spanning multi-agent orchestration, RAG, tool use, model customization, and production deployment.
We work at the intersection of partner engineering, NVIDIA's AI platform, and product development. You will lead sophisticated technical projects from initial exploration through architecture, prototyping, performance optimization, production rollout, and field enablement. Together, we will help partners adopt NVIDIA technologies and GPU-accelerated infrastructure to bring next-generation AI products to market.
What you'll be doing:
  • Lead technical delivery for strategic Agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale.
  • Design and build enterprise-grade agentic systems, including multi-agent workflows, tool-using agents, RAG-integrated applications, planning, memory, evaluation, and guardrail patterns.
  • Lead deep architecture reviews with partner engineering teams, driving tradeoffs across model quality, latency, efficiency, cost, retrieval quality, reliability, safety, security, and observability.
  • Build hands-on PoCs, benchmarks, reference architectures, and reusable blueprints that help Enterprise ISVs and NVIDIA field teams move from exploration to production.
  • Guide partners on model customization and post-training workflows, including supervised fine-tuning, reinforcement learning methods, human or AI feedback, direct preference optimization, PEFT/LoRA, synthetic data generation, evaluation, and regression analysis.
  • Work with agent harnesses and execution environments such as OpenShell, OpenAI Agents SDK, LangGraph, LlamaIndex, LangChain, CrewAI, Semantic Kernel, or similar frameworks.
  • Translate partner deployment findings into actionable feedback for NVIDIA Product and Engineering, so we can improve our platforms, tools, and field guidance.

What we need to see:
  • BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
  • 8+ years of engineering, solutions architecture, applied ML, or technical deployment experience.
  • Consistent track record leading complex AI, ML, distributed systems, or enterprise software deployments from prototype to production.
  • Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production or production-like environments.
  • Strong programming and debugging skills in Python and Linux environments, with experience in PyTorch, TensorFlow, or similar deep learning frameworks.
  • Deep understanding of agentic AI architectures, including tool use, orchestration, memory, retrieval, planning, evaluation, guardrails, and failure handling.
  • Experience with model customization or post-training techniques such as SFT, RL/RLHF/RLAIF, DPO or relevant equivalent experience, reward modeling, LoRA/PEFT, quantization-aware optimization, or model evaluation.
  • Ability to lead ambiguous partner engagements, influence senior engineering collaborators, and communicate clearly with technical and executive audiences.

Ways to stand out from the crowd:
  • Hands-on experience with NVIDIA AI software such as NIM, NeMo Framework, NeMo Retriever, NeMo Guardrails, NeMo Agent Toolkit, Dynamo, Nemotron, Triton, TensorRT-LLM, or NIM Operator.
  • Experience building post-training pipelines for reasoning, tool use, domain adaptation, enterprise task performance, or agent behavior improvement.
  • Experience with agent harnesses, sandboxed execution, policy enforcement, OpenShell-like environments, or secure enterprise agent runtime build.
  • Recognized expertise in RAG, model customization, agent orchestration, enterprise AI security, or GPU-accelerated AI infrastructure, with field-facing technical presence through workshops, architecture reviews, talks, whitepapers, or developer enablement.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 20, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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