Solutions Architect

Nebius
San Francisco, CA
Hybrid

Who this role is best for

Geared toward experienced cloud infrastructure professionals comfortable with GPU cloud technologies and client-facing technical advisory. The role emphasizes collaboration with product and marketing teams, and offers remote flexibility for U.S. candidates.

Best fit for

  • Candidates with 5-10 years in cloud solutions architecture and GPU computing practices
    — “5 - 10 + years of experience as a cloud solutions architect”
  • Individuals with strong IaC and Kubernetes expertise and a customer-centric mindset
    — “Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes”
  • Professionals who can translate technical ML/AI requirements into scalable infrastructure solutions
    — “Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs”

Things to consider

  • This role requires direct client interaction with a focus on solving real-world AI/ML problems at scale
    — “tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale”
  • The position involves cross-functional collaboration with product, marketing, and support teams
    — “[REDACTED] a single point of expertise of customer scenarios for product, technical support, marketing teams”

How to stand out

  • Highlight experience with GPU software stacks and ML frameworks in your resume and interviews
    — “Solid understanding of GPU computing practices for ML training and inference workloads”
  • Emphasize your ability to educate clients on cloud technologies through workshops and training
    — “Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies”
  • Showcase your track record in optimizing cloud pipeline performance and scalability
    — “Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful PoC and workshops
  • optimized pipeline performance
  • positive customer feedback
  • technical documentation
Typical background
cloud solutions architectsystem/network engineerdeveloper

Skills & requirements

Required

Cloud ComputingInfrastructure As CodeKubernetesPythonGpu ComputingMl TrainingMl InferenceTechnical ExpertisePresentation SkillsWorkshop FacilitationTechnical Writing

Preferred

TerraformAnsibleCudaOpencl

Stack & domain

PythonTerraformAnsibleKubernetesCUDAOpeCloud InfrastructureMlops

About the role

Original posting from Nebius

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Customer experience:

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work remotely from the United States.

Your responsibilities will include: 

Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.

Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.

Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.

Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.

Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing

Bachelor’s degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience.

Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python

Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)

Excellent communication skills

Customer-centric mindset

It will be an added bonus if you have: 

Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)

Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)

Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Key Employee Benefits: #LI-AM1

Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.

401(k) Plan: Up to 4% company match with immediate vesting.

Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

Remote Work Reimbursement: Up to $85/month for mobile and internet.

Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

On Target Earnings Range$250,000—$320,000 USDBenefits & Perks:

Competitive compensation

Career growth and learning opportunities

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI projects

International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. 

If you need accommodations during the application process, please let us know.

Source: Nebius careers

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