Software Engineer- Infrastructure

Details

• Multi-cloud capacity management
• Inference on B200 GPUs
• Multi-node inference
• Fractional H100 GPUs for efficient model serving
• Develop infrastructure components for our ML inference platform using Python and Go
• Implement and maintain Kubernetes deployments for model serving
• Contribute to our inference orchestration layer for model deployments
• Build and enhance monitoring systems for model performance metrics
• Implement efficient resource management solutions for ML workloads
• Support infrastructure automation to improve ML deployment workflows
• Work closely with team members to implement technical solutions
• Help balance performance optimization with system reliability
• Participate in technical discussions around infrastructure improvements
• Learn and apply infrastructure best practices
• Bachelor's degree or higher in Computer Science or related field
• Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
• Working knowledge of Kubernetes and containerization
• Basic understanding of machine learning concepts and model serving
• Familiarity with distributed systems concepts
• Experience with basic monitoring and logging tools
• Interest in ML/AI infrastructure and willingness to learn
• Strong collaboration and communication skills
• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.