Top Graduate Software Engineer - V-Force - New York

Reposted 19 Days Ago
Hiring Remotely in New York, NY, USA
Remote or Hybrid
Entry level
Artificial Intelligence • Software
The Role
Join VAST Data as a Top Graduate Software Engineer, contributing to cutting-edge AI data management solutions. Collaborate with senior engineers and engage in innovative projects.
Summary Generated by Built In
Description

VAST Data is looking for a Top Graduate Software Engineer to join our growing team!

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

"VAST's data management vision is the future of the market."- Forbes

VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field

from a leading university

Strong academic performance (high GPA, honors, Dean’s List, or equivalent)

Solid proficiency in at least one programming language: C, C++, Python

Strong foundation in data structures and algorithms

Ability to write clean, readable, and well-documented code

Excellent English communication skills (written and verbal)

What We Offer

  • Opportunity to work in a cutting-edge tech environment in the heart of NY
  • Close mentorship from senior engineers
  • Clear career development path
  • Competitive compensation and benefits
  • The chance to make a real impact from day one

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field
  • Strong academic performance (high GPA, honors, Dean's List, or equivalent)
  • Solid proficiency in at least one programming language: C, C++, Python
  • Strong foundation in data structures and algorithms
  • Ability to write clean, readable, and well-documented code
  • Excellent English communication skills (written and verbal)

VAST Data Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about VAST Data and has not been reviewed or approved by VAST Data.

  • Healthcare Strength Medical, dental, vision and life insurance are included, with several elements identified as employer-provided. Coverage aligns with what is commonly offered by high‑growth tech companies.
  • Leave & Time Off Breadth Time off includes generous or unlimited PTO alongside paid sick days and paid holidays, coupled with remote or work‑from‑home flexibility. This breadth supports taking time away when needed.
  • Equity Value & Accessibility Company equity is a standard part of offers with a typical four‑year vest, and professional development support is available. Equity is positioned as a meaningful component of total compensation at a growth‑stage company.

VAST Data Insights

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The Company
Brooklyn, NY
848 Employees
Year Founded: 2016

What We Do

Meet the data platform company for the AI era. Accelerating time-to-insight for workload-intensive applications, the VAST Data Platform delivers scalable performance, radically simple data management and enhanced productivity for the AI-powered world. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.

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