IT Engineer at Thinking Machines Lab | New York, New York, United States | Rezi

IT Engineer at Thinking Machines Lab

IT Engineer

Thinking Machines Lab · New York, New York, United States

1 weeks ago

IT Engineer

Thinking Machines Lab · New York, New York, United States

7 days ago
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About the Role

Thinking Machines Lab is advancing collaborative general intelligence to empower humanity, creating a future where everyone can leverage AI for their unique needs. This role will serve as the primary IT partner for our New York employees and office, working closely with the San Francisco team to maintain consistent systems, security standards, and employee experiences across locations.

Responsibilities

  • Serve as the primary onsite IT resource for employees in our New York office, providing responsive support and resolving hardware, software, access, network, and workplace technology issues.
  • Own onboarding and offboarding for New York employees, including hardware procurement, device preparation, shipping logistics, account provisioning, and access changes.
  • Administer Okta, including Single Sign-On, application integrations, provisioning, and access management for new and existing services.
  • Help manage Okta and other SaaS platforms through Terraform and Git-based workflows, contributing to the team’s broader effort to manage corporate technology systems using repeatable, reviewable, and version-controlled processes.
  • Own the day-to-day operation of the New York office’s technology infrastructure, including ISPs, networking, firewalls, conference rooms, and physical security systems such as door access and cameras.
  • Set up, maintain, and support conference room technology, hybrid meetings, and company-wide events such as All Hands meetings.
  • Maintain and secure the company’s fleet of macOS devices using MDM, ensuring devices remain compliant, updated, and reliable.
  • Partner closely with the San Francisco IT and Security team on company-wide initiatives, incident response, standards, documentation, and infrastructure improvements.
  • Coordinate with vendors, contractors, and building management on office technology installations, upgrades, and repairs.

Requirements

  • 5+ years of experience in IT engineering, systems administration, corporate IT, or a similar role.
  • Experience supporting employees and technology infrastructure in an onsite office environment.
  • Strong experience administering identity, SaaS, endpoint-management, and collaboration platforms.
  • Working knowledge of Git and version-controlled operational workflows.
  • Ability to independently own IT operations for the New York office while collaborating effectively with a distributed team.
  • Ability to work onsite Monday through Friday in our New York office.
  • Ability to travel to San Francisco for approximately one week each month.

Skills

  • Okta
  • Google Workspace
  • Kandji
  • Terraform
  • Git
  • macOS
  • MDM
  • SSO
  • Slack Enterprise
  • GitHub
  • Zero Trust security principles
  • Python
  • Bash
  • APIs
  • Brivo

Location

  • New York, New York

Work Type

  • Onsite
  • Hybrid

Experience Level

  • 5+ years

Salary/Compensations

  • $190,000 - $300,000

Benefits

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support

About the Company

  • Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.
  • We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
  • We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

Equal Opportunity

  • As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
  • Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.