About the Company
Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.
- Company type : Publicly traded
- Industry : AI / ML, Cloud Computing, Infrastructure-as-Code
- Candidate Location : Remote U.S.
Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.
The Opportunity
We are seeking a Senior AI / ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers.
What You'll Do
Architect and optimize distributed training and inference systems for large-scale AI modelsDesign and deliver customer-focused solutions that maximize performance and business valueLead the transition of ML pipelines from POC to scalable production systemsBuild long-term customer relationships, ensuring satisfaction and alignment with strategic goalsCreate whitepapers, deliver technical presentations, and host webinars to share insights and best practicesProvide technical leadership and mentor teams on AI infrastructure and deployment strategiesCollaborate with engineering and product teams to prioritize customer feedback and influence product roadmapsWhat You Bring
5 years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect rolesProven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environmentsDemonstrated success delivering ML products, scaling from POC to productionDeep knowledge of ML frameworks like PyTorch and JAXStrong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)Active involvement in the ML community (public speaking, open-source contributions, competitions like Kaggle and Hackathons)Exceptional communication skills to engage both technical teams and business stakeholdersLegal authorization to work in the United States on a full-time basis without sponsorshipPreferred Technical Skills
Programming Languages : Python, Go, Java, C Infrastructure as Code (IaC) : Terraform, AnsibleOrchestration : Kubernetes (K8s), SlurmDevOps Tools : Git, Docker, HelmBig Data Frameworks : Spark, Kafka, HadoopDatabases : SQL, NoSQL, and vector databasesML Frameworks : PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learnWhy Join?
Competitive compensation : $180,000 - $300,000 per year (negotiable based on experience and location)Full medical benefits : 100% company-paid medical, dental, and vision coverage for employees and families401(k) plan with a 4% match programStock options planFlexible remote work environmentCompany-paid short-term, long-term disability, and life insurance coverage20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregiversUp to $85 / month for mobile and internetWork with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUsBe part of a team that operates one of the most powerful commercially available supercomputersContribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildingsInterviewing Process
Level 1 - Interview with Talent AcquisitionLevel 2 - Interview with the Hiring ManagerLevel 3 - Technical AssessmentReference and Background Checks : conducted after successful interviewsJob Offer : provided to the selected candidateWe are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Salary : $180,000 - $300,000
