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Salary
≈ $133k – $231k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 1 · for this role: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jun 10, 2026.

Overview
Company
Impact
Profile match
TensorWave is an American cloud infrastructure company headquartered in Las Vegas, Nevada, and founded in 2023. The company provides a specialized AI cloud platform powered by AMD Instinct accelerators, offering bare metal instances, managed Kubernetes, and high-speed storage for large-scale model training and inference. It serves enterprise clients and AI research teams globally, positioning itself as a high-performance alternative to NVIDIA-based cloud providers through its focus on open-source ROCm software and cost-efficient scaling.

About TensorWave

At TensorWave, we're revolutionizing AI computing by offering the most advanced cloud services, highlighted by our deployment of AMD Instinct Series GPUs. Our mission is to accelerate AI innovation by removing hardware limitations and ensuring scalable, efficient solutions for AI workloads. To support our rapid growth, we're seeking a Full Stack Engineer to join our team.

About The Role:

We are looking for a Full Stack Engineer to join our Product Engineering team. You'll build scalable, modern web applications and high-performance backend services that power TensorWave's next-generation AI cloud platform. Working directly with our cloud infrastructure team and UI/UX designers, you will lead the ground-up overhaul of our internal admin and customer-facing dashboards

This isn't a "close the ticket and move on" role. We're looking for problem solvers and owners who take full responsibility for what they build, dig into issues until they're truly solved, and consistently go above and beyond to deliver real value to our customers.

What You'll Do:

  • Lead the architecture and ground-up rebuild of our internal administrative tools and customer-facing dashboards.

  • Design and implement frontend applications using React.js and Next.js to provide seamless access to our GPU cloud services.

  • Develop robust APIs to support both multi-tenant cloud architectures and single-tenant, bare-metal deployments.

  • Develop and maintain GraphQL and REST APIs using Node.js, Express.js, and Apollo to handle complex data requirements.

  • Collaborate with the AI infrastructure team to integrate new GPU capabilities into our platform, utilizing Go (Golang) for high-throughput backend components.

  • Own features end to end, from design and implementation through deployment, monitoring, and iteration.

  • Instrument services with OpenTelemetry and build dashboards in Grafana to monitor performance and drive proactive optimization.

Who You Are:

  • An owner: You treat the product like it's yours and take accountability for outcomes, not just tickets.

  • A problem solver: You're energized by hard, ambiguous problems, and leverage first principles thinking to move the needle.

  • Customer-focused: You understand that the work matters because of the value it delivers to our users.

  • Proactive and self-driven: You are a T-shaped engineer who thrives in a lean startup environment; for you, stepping beyond the bounds of your role is second nature because you care deeply about solving hard problems and building resilient AI infrastructure at scale.

Essential Skills & Qualifications:

  • 5+ years of professional software development experience.

  • Strong proficiency in React.js, Next.js (including SSR), and modern frontend development.

  • Strong knowledge of GraphQL and the Apollo ecosystem (Client, Server, schema design).

  • Solid foundation in Node.js and Express.js for building robust web applications.

  • Proven ability to drop into unfamiliar codebases, troubleshoot effectively, and solve complex problems independently.

  • Familiarity with Docker and containerization concepts.

  • Bachelor's degree in Computer Science or equivalent experience.

Preferred Skills & Qualifications:

  • Experience with Go (Golang) for building backend services, or a strong willingness to learn and adapt to Go-based tooling.

  • Experience with MongoDB, database design, and Redis for caching.

  • Understanding of Kubernetes (k8s), cloud infrastructure, and network fundamentals.

  • Experience with observability using OpenTelemetry (OTel) and Grafana-based stacks (PLG/MLG).

  • Python programming skills, particularly with FastAPI.

What We Offer

  • 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

  • Other Insurance Options, such as Pet & Legal Insurance

  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

  • Flexible Spending Account

  • 401(k)

  • Employee Assistance Program

  • Flexible PTO

  • Paid Holidays

  • Parental Leave

  • Other In-Office Perks

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected].

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

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