Location: United States | Job Type: Full-Time | Work Mode: Remote/Hybrid
About the Company
TensorWave is an emerging AI and high-performance computing company focused on delivering GPU-powered infrastructure and advanced computing solutions. The company enables businesses to run machine learning workloads and large-scale AI systems efficiently.
Job Overview
The Software Engineer at TensorWave will work on building scalable infrastructure, distributed systems, and AI-driven platforms. This role involves working with cloud technologies, high-performance computing, and modern backend systems.
Key Responsibilities
– Develop and maintain scalable backend and distributed systems
– Work on cloud infrastructure and GPU-based computing platforms
– Collaborate with engineering and AI teams
– Optimize system performance and reliability
– Build and maintain APIs and system integrations
Required Skills & Qualifications
– Strong experience in Python, Go, or similar backend languages
– Knowledge of distributed systems and cloud platforms (AWS, GCP)
– Experience with high-performance computing or AI/ML systems
– Familiarity with Docker, Kubernetes, and CI/CD pipelines
– Strong problem-solving and system design skills
Job details made easy by TrendToday360
Quick Summary
This is a cutting-edge opportunity to work in the AI and high-performance computing space. Ideal for engineers interested in distributed systems, cloud infrastructure, and machine learning platforms.
Expected Salary
Estimated Salary: $130,000 – $200,000 per year (based on similar AI infrastructure roles)
Profile Keywords
TensorWave Software Engineer, AI Jobs, Distributed Systems, Cloud Computing, Python, Kubernetes, GPU Computing, Backend Developer
Additional Tips
– Strengthen knowledge of distributed systems and cloud architecture
– Highlight experience in AI/ML or high-performance computing
– Prepare for system design and backend engineering interviews
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