Software Engineer - Infrastructure at Kumo

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Data Management, Cloud ComputingIndustries

Skills

Key technologies and capabilities for this role

Distributed SystemsScalabilityCloud-native infrastructureData WarehousesMachine Learning WorkflowsGraph Neural NetworksAPI DesignOrchestration SystemsEnterprise SecurityPerformance Optimization

Questions & Answers

Common questions about this position

What is the salary range for this Software Engineer - Infrastructure position?

The compensation range is $145,000 - $250,000.

What benefits does Kumo offer?

Benefits include stock, competitive salaries, medical insurance, and dental insurance.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a strong foundation in computer science (BS required, MS/PhD preferred) with 5+ years of software development experience, deep understanding of distributed systems design principles, and proficiency in languages like Python, Java or C++. A problem-solving mindset for novel challenges is also essential.

What experience sets top candidates apart for this position?

Standout candidates have experience with cloud distributed storage, databases, and file systems (AWS, Azure), building and scaling microservices, knowledge of ML frameworks like PyTorch or TensorFlow for inference at scale, open-source contributions in distributed systems, understanding of ML fundamentals, and designing systems that handle failure modes.

Kumo

Generates and deploys predictive models

About Kumo

Kumo.ai specializes in creating and implementing accurate predictive models for organizations that need reliable forecasts for critical operations. Their platform uses Graph Neural Networks to analyze raw relational data, which removes the need for manual data preparation and enhances prediction accuracy and efficiency. Unlike many competitors, Kumo.ai's platform streamlines the entire Machine Learning lifecycle, from data preparation to model deployment, while also optimizing costs by eliminating unnecessary infrastructure. The company aims to provide a quick return on investment for its clients, which range from small businesses to large enterprises, by offering flexible deployment options through Software as a Service (SaaS) and Private Cloud models. Kumo.ai is built by experienced professionals from top tech companies and has already gained the trust of leading organizations globally.

Mountain View, CaliforniaHeadquarters

2021Year Founded

$35.5MTotal Funding

SERIES_BCompany Stage

Fintech, AI & Machine LearningIndustries

51-200Employees

Benefits

Stock Options

Medical Insurance

Dental Insurance

Risks

Increased competition from Databricks' Marketplace may divert potential customers.

The rise of multimodal AI could overshadow Kumo's current offerings.

Rapid AI advancements by tech giants may set new industry standards Kumo must meet.

Differentiation

Kumo.AI uses Graph Neural Networks for predictive modeling, eliminating manual feature engineering.

The platform offers a SQL-like Predictive Querying Language for rapid AI model creation.

Kumo.AI integrates with Snowflake's Native App Framework, enhancing model performance and scalability.

Upsides

Kumo's $18M Series B funding will expand its platform and market reach.

Integration with Snowpark Container Services enhances deep learning capabilities within Snowflake Data Cloud.

Kumo's platform supports both SaaS and Private Cloud models, offering client flexibility.

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