SF Tensor tech stack
SF Tensor builds mostly with C++, Rust, Sass, C. Its stack also includes MLIR, CUDA Toolkit, CUDA, AWS. C++ is named in 3 of the 6 job postings SF Tensor published in the last 12 months (50%). Counted by Alion from the job postings of SF Tensor, updated Sep 27, 2026.
What programming languages does SF Tensor use?
C++ is named in 50% of job postings at SF Tensor, followed by Rust (33%), Sass (33%), C (17%).
C++ 
What frameworks and libraries does SF Tensor use?
MLIR is named in 50% of job postings at SF Tensor, followed by CUDA (33%), JAX (33%), PyTorch (33%).
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What cloud and platforms does SF Tensor use?
CUDA Toolkit is named in 33% of job postings at SF Tensor, followed by AWS (17%), Kubernetes (17%), Linux (17%).
CUDA Toolkit
2 33%
AWS
1 17%
Kubernetes
1 17%
Perplexity
1 17%
Figma
1 17%
Weights & Biases
1 17%
What developer tools does SF Tensor use?
AWS Trainium is named in 100% of job postings at SF Tensor, followed by TPU (100%), LLVM (33%), InfiniBand (33%).
LLVM
2 33%
KVM
1 17%
QEMU
1 17%
SLURM
1 17%
What AI and ML technologies does SF Tensor use?
LLM is named in 17% of job postings at SF Tensor.
LLM
1 17%
Which engineering practices does SF Tensor ask for?
Post-training is named in 83% of job postings at SF Tensor, followed by Pre-training (50%), Function Calling (33%), Tool Use (33%).
Function Calling
2 33%
AI Agents
1 17%
Embeddings
1 17%
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What does each SF Tensor team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
6 postingsHow does your stack fit SF Tensor?
How modern is the SF Tensor stack?
SF Tensor scores 64 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
Companies with a stack like SF Tensor
Questions about the SF Tensor tech stack
What programming languages does SF Tensor use?
The languages named in SF Tensor job postings are C++ (50%), Rust (33%), Sass (33%), C (17%), JavaScript (17%), as a share of the 6 postings of the last 12 months.
Does SF Tensor use MLIR?
Yes. MLIR is named in 3 of 6 job postings (50%) and required in 1 of them.
What cloud and platforms does SF Tensor use?
The cloud and platforms named in SF Tensor job postings are CUDA Toolkit (2), AWS (1), Kubernetes (1) (postings in brackets).
What skills do you need for a AI/ML job at SF Tensor?
AI/ML postings at SF Tensor most often require AWS Trainium (6), TPU (6), C++ (3), CUDA (2), out of 6 postings in the last 12 months.
Is the SF Tensor tech stack changing?
No new technology has appeared in SF Tensor job postings in the last six months.
How modern is the SF Tensor tech stack?
SF Tensor scores 64 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the SF Tensor tech stack?
Alion reads every job posting SF Tensor publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Sep 27, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "SF Tensor tech stack: 56 technologies from 6 job postings", as of Sep 27, 2026. https://alion.io/company/sf-tensor/technologies