Company
TensorScale
Annual salary
$180k – $230k/yr
Location
Menlo Park
Listed
31d ago
- Experience:
- 2+ years
- Workplace:
- Menlo Park office, five days a week in person
- Equity:
- Competitive
On-site in Menlo Park.
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About this Role
TensorScale is rebuilding the training and inference stack for world models, from GPU kernels up through distributed serving. You will own speed and efficiency across that stack: low-level kernels, distributed inference engines, and multi-node training and serving systems. You report to the cofounder and CEO and work alongside four cofounders who between them cover distributed systems, kernel optimization, cloud infrastructure, and research.
You will feel at home here if you would rather make a video model ten times faster than train one.
What you'll do
- Optimize GPU and system performance. Training and inference for image, video, and world-model workloads.
- Profile and remove bottlenecks. Kernel, memory, system, and cluster level, using Nsight and related tooling.
- Write low-level optimizations. CUDA and Triton, on code paths that run in production.
- Build distributed engines. Inference and training for diffusion models across multiple GPUs and nodes.
- Own communication performance. NCCL, RDMA over InfiniBand or RoCE, and disaggregated serving.
- Make the gains stick. Benchmarking and regression harnesses so performance does not slide back in production.
Frequently Asked Questions
How do I apply for the Member of Technical Staff, ML Systems (US) role at TensorScale? +
Use the Apply for a referral button on this page to send us your LinkedIn and CV. If your experience fits, we'll introduce you to the recruiter filling this role. They'll email you to check you're interested, then put you forward for this job or others that suit you better. It's free.
What does this TensorScale role pay? +
The listing gives $180k – $230k/yr.
Is this role remote? +
The listing gives the location as Menlo Park. Menlo Park office, five days a week in person.
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