Senior Software Engineer

Working at SambaNova

SambaNova Systems is hiring a Senior Software Engineer, AI Systems. This role offers an unparalleled opportunity to work E2E (end-to-end) with cross functional teams across SambaNova's software, hardware, and ML teams to transform cutting-edge AI research into customer-empowering solutions with superior AI System performance and accuracy, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey.

Role Responsibilities

• Bridge use case requirements from customers or AI / ML community with SambaNova's SW / HW technical stack
• Pioneering work ahead of existing engineering capabilities, in the forms of: enable new ML applications running on SambaNova platform; enable new AI system architecture for achieving better performance and scalability
• Work with internal engineering teams to standardize and robustify prototypes into official part of SambaNova's technical capability

Basic Qualifications

• Bachelors or Masters Degree in Computer Science, Computer Engineering, or equivalent and with 2-5 years of industry experience
• Hands-on experience on at AI/ML frameworks (eg. PyTorch, Tensorflow, etc)
• Math/arithmetic understanding on NLP / Vision / speech-recognition models
• Experience on applying NLP / Vision / speech-recognition into real-world use case applications
• Knowledge or design experience on ML systems and performance optimization
• Good Python / C programming skills

Preferred Qualifications

• Hands-on experience on AI/ML deployment (eg. Kubernetes / Amazon Elastic Compute, etc)
• First author in CS / ML publications

Annual Salary Range and Level

The base salary for this position ranges from $140,000/year up to $180,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidates job-related qualifications, skills, competencies and experience, and location.