ZipRecruiter
Solutions Architect (Cloud & MLOps)
ZipRecruiter, San Jose, California, United States, 95199
Job Description
About the Company
Our client is at the forefront of the AI revolution, providing cutting-edge
infrastructure
that's reshaping the landscape of artificial intelligence. They offer an
AI-centric cloud platform
that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. The company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. Company Type: Publicly traded
Product: AI-centric GPU cloud platform & infrastructure for training AI models
Candidate Location: Remote anywhere in the US
Their
mission
is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. The Opportunity We're seeking a
Solutions Architect
to join our client's dynamic team. This role offers a unique chance to shape the adoption of AI technology and work with cutting-edge cloud and AI infrastructure. As a trusted advisor, you'll help clients leverage GPU-powered cloud solutions to optimize their AI and machine learning workflows. What You'll Do Serve as a trusted technical advisor to clients on GPU cloud technologies
Conduct PoCs, workshops, and training sessions to educate clients
Develop tailored solution architectures based on client requirements
Design and document Infrastructure as Code solutions
Optimize client pipeline performance, scalability, and resource utilization
Act as the primary expert on customer scenarios for Product, Technical support, and Marketing teams.
What You Bring At least 5 years of experience as a Cloud Solutions Architect, System/Network Engineer, Developer, or similar technical role focused on cloud computing
Strong hands-on experience with Infrastructure as Code and configuration management tools (Terraform, Ansible), Kubernetes, and Python coding skills
Solid understanding of GPU computing practices for ML training and inference workloads, including GPU software stack components (CUDA, OpenCL)
Ideally, experience with HPC/ML orchestration frameworks (Slurm, Kubeflow) and deep learning frameworks (TensorFlow, PyTorch)
Knowledge of cloud ML tools from industry leaders (NVIDIA, AWS, Azure, Google)
Bachelor's degree in a relevant field (advanced degree is a plus)
Excellent communication skills
Key Attributes for Success Passion for AI and transformative technologies
Results-driven mindset and problem-solver mentality
Adaptability and ability to thrive in a fast-paced startup environment
Comfortable working with an international team and diverse client base
Why Join? Competitive compensation: $140,000-$175,000 per year
Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program with immediate vesting
Company-paid short-term, long-term, and life insurance coverage
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Flexible remote work environment
Up to $85/month for mobile and internet
Startup culture with stability: excitement and innovation of a startup backed by the resources of an established company
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)
Be part of a team that operates one of the most powerful commercially available supercomputers
Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings
Interviewing Process Level 1 - Interview with the Talent Acquisition Lead (General fit. Q&A)
Level 2 - Interview with the Hiring Manager (Skills assessment)
Level 3 - Interview with the C-level (Final)
Reference and Background Checks: conducted after successful interviews
Job Offer: provided to the selected candidate
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of marital status, ancestry, physical or mental disability, genetic information, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local law. Compensation Range: $140K - $180K
#J-18808-Ljbffr
infrastructure
that's reshaping the landscape of artificial intelligence. They offer an
AI-centric cloud platform
that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. The company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. Company Type: Publicly traded
Product: AI-centric GPU cloud platform & infrastructure for training AI models
Candidate Location: Remote anywhere in the US
Their
mission
is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. The Opportunity We're seeking a
Solutions Architect
to join our client's dynamic team. This role offers a unique chance to shape the adoption of AI technology and work with cutting-edge cloud and AI infrastructure. As a trusted advisor, you'll help clients leverage GPU-powered cloud solutions to optimize their AI and machine learning workflows. What You'll Do Serve as a trusted technical advisor to clients on GPU cloud technologies
Conduct PoCs, workshops, and training sessions to educate clients
Develop tailored solution architectures based on client requirements
Design and document Infrastructure as Code solutions
Optimize client pipeline performance, scalability, and resource utilization
Act as the primary expert on customer scenarios for Product, Technical support, and Marketing teams.
What You Bring At least 5 years of experience as a Cloud Solutions Architect, System/Network Engineer, Developer, or similar technical role focused on cloud computing
Strong hands-on experience with Infrastructure as Code and configuration management tools (Terraform, Ansible), Kubernetes, and Python coding skills
Solid understanding of GPU computing practices for ML training and inference workloads, including GPU software stack components (CUDA, OpenCL)
Ideally, experience with HPC/ML orchestration frameworks (Slurm, Kubeflow) and deep learning frameworks (TensorFlow, PyTorch)
Knowledge of cloud ML tools from industry leaders (NVIDIA, AWS, Azure, Google)
Bachelor's degree in a relevant field (advanced degree is a plus)
Excellent communication skills
Key Attributes for Success Passion for AI and transformative technologies
Results-driven mindset and problem-solver mentality
Adaptability and ability to thrive in a fast-paced startup environment
Comfortable working with an international team and diverse client base
Why Join? Competitive compensation: $140,000-$175,000 per year
Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program with immediate vesting
Company-paid short-term, long-term, and life insurance coverage
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Flexible remote work environment
Up to $85/month for mobile and internet
Startup culture with stability: excitement and innovation of a startup backed by the resources of an established company
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)
Be part of a team that operates one of the most powerful commercially available supercomputers
Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings
Interviewing Process Level 1 - Interview with the Talent Acquisition Lead (General fit. Q&A)
Level 2 - Interview with the Hiring Manager (Skills assessment)
Level 3 - Interview with the C-level (Final)
Reference and Background Checks: conducted after successful interviews
Job Offer: provided to the selected candidate
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of marital status, ancestry, physical or mental disability, genetic information, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local law. Compensation Range: $140K - $180K
#J-18808-Ljbffr