Architect and optimize distributed training and inference systems for large-scale AI models
Design and deliver customer-focused solutions that maximize performance and business value
Lead the transition of ML pipelines from POC to scalable production systems
Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps

Requirements

5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
Demonstrated success delivering ML products, scaling from POC to production
Deep knowledge of ML frameworks like PyTorch and JAX
Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
Legal authorization to work in the United States on a full-time basis without sponsorship

Benefits

Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program
Stock options plan
Flexible remote work environment
Company-paid short-term, long-term disability, and life insurance coverage
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Up to $85/month for mobile and internet
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

distributed traininginference systemsML pipelinesAI modelscloud technologiesAI workloadsML frameworksPyTorchJAXNVIDIA HPC ecosystem

Soft Skills

customer-focused solutionstechnical leadershipmentoringcollaborationcustomer relationship managementcommunicationpresentation skillsstrategic alignmentinsight sharingfeedback prioritization