TensorWave→
Software Intern at TensorWave in Las Vegas, NV
InternshipOn-siteFull-timeLas Vegas, NV
Skills
javascriptrustlinux systemscloud infrastructuredistributed systemscontainers (docker/kubernetes)gpu programmingmachine learning frameworksperformance optimizationproblem-solvingattention to detail
Job Description
Summary: TensorWave is a company focused on delivering seamless AI compute at scale through their versatile cloud platform. As a Software Engineering Intern, you will work alongside a high-impact engineering team on real production challenges in a cutting-edge GPU cloud environment, gaining hands-on experience in cloud infrastructure and AI systems.
Responsibilities:
- Collaborate with senior engineers on features for our cloud control plane, orchestration layer, user-facing APIs, or internal tooling
- Work on automation, monitoring, and observability for GPU clusters (Slurm + Kubernetes-native environments)
- Participate in debugging performance bottlenecks in high-throughput inference or distributed training pipelines
- Write clean, well-tested code and participate in code reviews
- Learn how bare-metal AI clouds operate at scale—from hardware partitioning to high-speed networking and storage
Required Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field (graduation expected 2026–2028)
- Strong programming skills in JavaScript or Rust
- Familiarity with Linux systems, command-line tools, and scripting
- Interest in cloud infrastructure, distributed systems, containers (Docker/Kubernetes), or HPC workload managers (Slurm)
- Curiosity about hardware-software co-design and performance optimization
- Ability to work collaboratively in a fast-paced startup environment
- Excellent problem-solving skills and attention to detail
Preferred Qualifications:
- Bonus: Exposure to GPU programming, machine learning frameworks, ROCm, CUDA (concepts transfer), or cloud platforms
Required Skills: JavaScript, Rust, Linux systems
Important Skills: Cloud infrastructure, Distributed systems, Containers (Docker/Kubernetes)
Nice-to-Have Skills: GPU programming, Machine learning frameworks, Performance optimization, Problem-solving, Attention to detail
Benefits: Founder and leadership speaker sessions, Dedicated mentorship and cross-functional networking, Industry and market education sessions, Career development workshops (resume review, mock interviews, interview prep), Team-building events and intern socials, Lunch & Learns with company leaders, In-office perks including snacks and beverages
Benefits
Founder and leadership speaker sessions
Dedicated mentorship and cross-functional networking
Industry and market education sessions
Career development workshops (resume review, mock interviews, interview prep)
Team-building events and intern socials
Lunch & Learns with company leaders
In-office perks including snacks and beverages