TensorWave, Inc. logo

NY Tech Week Talent Network

Job Overview

Location

Las Vegas, Nevada

Job Type

Full-time

Category

Software Engineering

Date Posted

June 4, 2026

Full Job Description

đź“‹ Description

  • • Join TensorWave’s Talent Network to be considered for future technical roles in software engineering, infrastructure, data, AI/ML, product, and security disciplines.
  • • Connect directly with TensorWave’s recruiting team and technical leaders during NY Tech Week to explore alignment with upcoming opportunities.
  • • Gain insight into TensorWave’s mission to deliver seamless, secure, reliable, and resilient AI compute at scale through a versatile cloud platform.
  • • Learn about the company’s culture, growth plans, and focus on empowering builders to innovate without being hindered by infrastructure constraints.
  • • Stay informed about future hiring events, role openings, and recruitment timelines as they align with your technical background and interests.
  • • Be proactively considered for current and future positions as hiring needs evolve across technical teams.
  • • Engage with a team that values complex challenges, fast-paced innovation, and leveraging technology to create meaningful impact.
  • • No specific open position is tied to this application — this is a talent network initiative designed to build relationships with high-potential technical professionals.
  • • This opportunity is open to attendees of NY Tech Week who are passionate about building, scaling, and innovating in technology.
  • • Participation in this talent network does not guarantee employment but provides priority consideration for roles matching your expertise.
  • • Candidates will be evaluated based on their technical background, experience, and alignment with TensorWave’s goals in AI infrastructure and cloud platforms.
  • • The talent network serves as a pipeline for roles that may emerge in software engineering, data infrastructure, machine learning systems, product development, and security engineering.
  • • Applicants are encouraged to express interest in specific technical domains to help tailor future outreach and role matching.
  • • This is not a current open role but a mechanism to identify and nurture relationships with top-tier technical talent during NY Tech Week.
  • • Engagement with the talent network includes access to updates on company milestones, technical initiatives, and upcoming recruitment cycles.
  • • No application deadline is specified; submissions are accepted as part of ongoing talent identification efforts tied to NY Tech Week.

🎯 Requirements

  • • Attending NY Tech Week
  • • Demonstrated background in software engineering, infrastructure, data, AI/ML, product, or security disciplines
  • • Passion for building, scaling, and innovating in technology

🏖️ Benefits

  • • Stock Options
  • • 100% paid Medical, Dental, and Vision insurance for Employees
  • • Company Health Savings Account Contributions
  • • 100% paid Short Term and Long Term Disability Insurance for Employees
  • • Life and Voluntary Supplemental Insurance Options
  • • Flexible PTO
  • • 401(k)
  • • Parental Leave
  • • Employee Assistance Program
  • • Flexible Spending Account
  • • Other Insurance Options, such as Pet & Legal Insurance
  • • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • • Paid Holidays
  • • Other In-Office Perks

Skills & Technologies

Onsite

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TensorWave, Inc. logo
TensorWave, Inc.
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About TensorWave, Inc.

TensorWave develops and operates an AI accelerator cloud built on AMD Instinct GPUs, targeting large-scale model training and inference. The platform offers on-demand and reserved compute with high-bandwidth memory, InfiniBand networking, and container orchestration, delivered through a web console and API. Designed for generative AI, LLM fine-tuning, and HPC workloads, the service emphasizes AMD performance at competitive pricing, supported by 24/7 operations teams. Based in Las Vegas, Nevada, the company serves hyperscalers, research labs, and enterprises needing GPU capacity beyond NVIDIA ecosystems.

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