Systems Engineer

Thunder Compute is the world's cheapest GPU cloud platform for researchers, data scientists, and indie devs. The team is building a proprietary virtualization stack to improve GPU utilization by 5x. Try it today. Company description Thunder Compute is building VMWare for GPUs. We are a 3-person team, backed by Y-Combinator, and seed funded. Our GPU virtualization software eliminates idle GPU cycles. This occurs through a mix of sharing and oversubscription. The core software network-attaches GPUs over IP through a form of API remoting. This lets us allocate compute wherever it is needed most. This is a hard technical challenge: we are building a complicated, low-level system with extremely strict performance requirements. Job description While the problem is tough, the opportunity is equally large: we estimate well over $100B. In this systems engineering role as our fourth team member, your job is to help us build a virtualization layer with near-native performance. If you are a top 0.1% systems engineer with a strong belief in your technical ability, here is a rare chance to directly unlock massive opportunity through technical execution. Core skills Experience optimizing performance of NICs and/or GPUs Top 0.1% C++ ability Strong understanding of low-level networking, compilers, or similar Experience working in latency-sensitive environments Experience optimizing performance of NICs and/or GPUs Top 0.1% C++ ability Strong understanding of low-level networking, compilers, or similar Experience working in latency-sensitive environments Soft skills High potential to grow into a senior leadership position as the company expands Communication Self-motivation (we expect you to drive your own work and contribute from day 1) High potential to grow into a senior leadership position as the company expands Communication Self-motivation (we expect you to drive your own work and contribute from day 1) Preferred pre-requisites Ph.D. or Masters degree in Computer Science from a top ~50 U.S. university, 3.5+ GPA (Bachelors required) 1+ year of industry experience at a hedge fund, hardware company (e.g., NVIDIA, Samba Nova), or similar preferred Ph.D. or Masters degree in Computer Science from a top ~50 U.S. university, 3.5+ GPA (Bachelors required) 1+ year of industry experience at a hedge fund, hardware company (e.g., NVIDIA, Samba Nova), or similar preferred Compensation This roll is full-time, in-office, salaried with stock options (~1-1.5% ownership). We are willing to move our headquarters to find the right person for this role. You will report directly to Co-founder and CTO Brian (ex-citadel quant dev). Thunder GPU, Inc. is an equal opportunity employer, and adheres to all applicable employment laws. This roll is full-time, in-office, salaried with stock options (~1-1.5% ownership). We are willing to move our headquarters to find the right person for this role. You will report directly to Co-founder and CTO Brian (ex-citadel quant dev). Thunder GPU, Inc. is an equal opportunity employer, and adheres to all applicable employment laws. Our software network attaches GPUs at the CUDA layer. This requires deep expertise in systems, low-latency optimization, and C++. Ideal candidate profile: Bachelor's degree in Computer Science from a top ~50 U.S. university, 3.5+ GPA 1+ year of experience at a hedge fund, hardware company (e.g., NVIDIA, AMD), or similar preferred Bachelor's degree in Computer Science from a top ~50 U.S. university, 3.5+ GPA 1+ year of experience at a hedge fund, hardware company (e.g., NVIDIA, AMD), or similar preferred Technologies: C++, CUDA TCP, sockets Kubernetes