TensorWave, Inc. logo

Software Engineer, Front End

Job Overview

Location

Las Vegas, Nevada

Job Type

Full-time

Category

Software Engineering

Date Posted

June 21, 2026

Full Job Description

đź“‹ Description

  • • Architect and maintain a modular, scalable frontend architecture using TypeScript and React for TensorWave’s customer- and internal-facing dashboards
  • • Develop high-performance, reusable component libraries using shadcn/ui to ensure design system integrity and accelerate feature development
  • • Implement advanced state management and performance patterns to handle real-time GPU telemetry and high-density data visualizations with low latency
  • • Design and build intuitive, accessible user interfaces that meet WCAG standards, ensuring inclusive experiences for all users
  • • Establish and enforce frontend engineering standards including automated testing (Unit, Integration, E2E), comprehensive documentation, and rigorous code review practices
  • • Partner closely with backend engineers to create seamless interfaces between frontend layers and backend services using RESTful or gRPC APIs
  • • Translate high-fidelity UX/UI design mocks into functional, production-ready interfaces while maintaining fidelity to design intent
  • • Collaborate with cross-functional teams to align frontend strategy with overall platform goals and product roadmap
  • • Mentor junior engineers through code reviews, pairing sessions, and knowledge sharing to foster a culture of continuous learning and engineering excellence
  • • Optimize browser rendering pipelines and performance for applications handling complex, real-time telemetry data
  • • Contribute to the creation of a reusable component library and design system that reduces time-to-market for new dashboard features
  • • Ensure reliable, low-latency data flow between frontend interfaces and backend infrastructure supporting AI compute platforms
  • • Build interfaces that enable customers to extract complex insights from GPU telemetry with speed and clarity
  • • Maintain high code quality through disciplined testing practices and proactive identification of performance bottlenecks
  • • Bridge frontend development with infrastructure monitoring systems to improve observability and operational reliability
  • • Contribute to a scalable, maintainable codebase that supports rapid iteration and long-term platform growth

🎯 Requirements

  • • 5+ years of experience in front-end engineering with advanced proficiency in TypeScript and React
  • • Proven ability to architect complex, large-scale web applications from the ground up with focus on component modularity and reusability
  • • Deep understanding of modern browser rendering pipelines, performance profiling, and optimizing high-density data applications
  • • Extensive experience building robust interfaces that interface with RESTful or gRPC APIs, managing asynchronous data flows and complex state
  • • Demonstrated commitment to high-quality code through rigorous automated testing (Unit, Integration, and E2E) and thorough code review practices
  • • Experience building dashboards for HPC, AI, or cloud infrastructure that handle real-time telemetry (WebSockets, streaming APIs)

🏖️ 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

Skills & Technologies

JavaScript
TypeScript
React
AWS
REST
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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