VAST Data
IT Support Specialist II
Long Beach, California, United States · Mid · Full-time
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odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($24,520) is below the Level I prevailing wage of $93,142. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Bioengineers and Biomedical Engineers (17-2031) · Los Angeles-Long Beach-Anaheim, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Next, Haven-1 is expected to become the world's first commercial space station when it launches in 2027, followed by additional Haven modules.
- Additionally, the company recently announced Vast Satellite, a high-power satellite product line leveraging its space station components and the heritage of Haven Demo.
- You will be the first point of contact for users experiencing technical issues, providing timely and efficient solutions to their problems.
Responsibilities
- Provide help desk support and resolve problems to the end user's satisfaction
- Maintains and supports enterprise resources, including laptops, desktops, tablets, mobile phones and other network enabled devices
- Comfortable replacing hard drives, memory and other computer components
Requirements
- 2+ years of experience in IT
- Proven experience with ITSM tools
- Strong problem-solving skills and ability to work independently and collaboratively
- Headquartered in Long Beach, California, and with more than 1,000 employees and over a billion dollars in private capital, Vast has built the facilities required to manufacture and operate America's next space station.
- Your expertise in troubleshooting, problem-solving, and exceptional customer service will be key to your success in this role.
- Perform timely workstation hardware and software upgrades as required
Nice to have
- Preferred Skills & Experience:
Skills
- Experience in a manufacturing environment
- Prior experience working in a fast-paced startup environment
- Familiarity with aerospace industry regulations and standards regarding IT and data
Compensation
- We calibrate level and compensation to the selected candidate's experience and demonstrated capability.
- Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand.
- Salary is just one component of our comprehensive compensation package.
Benefits
- Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand.
Equal opportunity
- Vast is an Equal Opportunity Employer
- employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
- Vast is an Equal Opportunity Employer; employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
This listing is sourced directly from VAST Data's careers page and normalized into a canonical job model.