Tensorix
TensorX is seeking a GPU Performance Engineer to optimize inference engine performance and GPU kernel efficiency for its sovereign AI infrastructure platform. The role involves diagnosing and resolving engine defects, tuning model configurations, and developing patches to improve goodput per GPU under production workloads. This hands-on individual contributor position requires deep expertise in GPU architecture, CUDA, and transformer inference to enhance system performance and reliability.
The radically simple platform for private AI inference. Zero data retention. EU-sovereign infrastructure. Access MiniMax, GLM-5, Llama 3, DeepSeek and more with transparent pricing.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Tensorix.
Tensorix didn’t post a salary, so this is our estimate from similar listings.
15% below the average for this role
GPU Systems Engineer (CUDA)
Bright Vision Technologies
CUDA / GPU Performance Engineer (Kernel Optimization)
gramianconsultinggroup.com
GPU Performance Engineer | Experienced Hire
Susquehanna International Group, LLP
Sr. Inference Engineer, GPU Kernel Optimization
Coherent
Sr. Inference Engineer, GPU Kernel Optimization
NVIDIA
CUDA Engineer
Fuse Energy