Software Engineer (Full Stack)
TensorWave1 month ago
Remote, United StatesSenior
Responsibilities
- Lead the architecture and ground-up rebuild of internal administrative tools and customer-facing dashboards.
- Build frontend applications with React.js and Next.js for GPU cloud services.
- Develop GraphQL and REST APIs using Node.js, Express.js, and Apollo.
- Build backend components in Go for high-throughput AI infrastructure capabilities.
- Own features through design, implementation, deployment, monitoring, and iteration.
- Instrument services with OpenTelemetry and create Grafana dashboards for performance monitoring and optimization.
- Troubleshoot unfamiliar codebases and solve complex problems independently.
Requirements
- 5+ years of professional software development experience.
- Strong proficiency with React.js, Next.js, including server-side rendering, and modern frontend development.
- Strong knowledge of GraphQL and the Apollo ecosystem, including Client, Server, and schema design.
- Solid experience with Node.js and Express.js for web applications.
- Familiarity with Docker and containerization concepts.
- Bachelor’s degree in Computer Science or equivalent experience.
- Preferred: experience with Go, MongoDB, database design, Redis, Kubernetes, cloud infrastructure, network fundamentals, OpenTelemetry, Grafana-based PLG/MLG stacks, Python, and FastAPI.
Benefits
- Stock options.
- 100% paid medical, dental, and vision insurance for employees.
- Company HSA contributions.
- 100% paid short-term and long-term disability insurance for employees.
- Life, voluntary supplemental, pet, and legal insurance options.
- Supplementary health benefits, including discounted virtual healthcare appointments and serious illness support.
- Flexible Spending Account and 401(k).
- Employee Assistance Program, flexible PTO, paid holidays, parental leave, and other in-office perks.
Categories
About TensorWave
TensorWave builds an AMD‑exclusive cloud platform for AI workloads, providing Instinct MI325X and MI355X GPU instances and tooling for training, fine‑tuning, and inference, including an inference engine. It sells infrastructure-as-a-service to startups and enterprises that need scalable AI compute. Founded in 2023 and headquartered in Las Vegas, Nevada, the company focuses on GPU‑accelerated cloud infrastructure for generative AI and machine learning teams.