Market landscapes / Model Serving & Compute / Inference Optimization & Compilers
Embedl
PyTorch model optimisation and deployment for edge and data-centre GPUs. Embedl benchmarks and deploys quantized models on NVIDIA Jetson and GPU hardware.
Inference Optimization & Compilersalso: Edge & On-Device AIembedl.com ↗
Updated 23 October 2026
Hiring now
From Embedl's own jobs board, checked every week.
Where the roles are
Against its sector
13 of the 21 active companies in Inference Optimization & Compilers are advertising roles. Multiverse Computing has the most, with 9.
Who Embedl competes with
The other active companies we file under Inference Optimization & Compilers, sorted by how much they are hiring.
Where this fits
Making models cheaper and faster to run: compilers, quantisation, kernels and serving optimisation. Deep technical work done by small teams.
We track hiring and team changes across all 183 companies in Model Serving & Compute.
Our talent report for this sector shows how Embedl's team compares with its competitors.
What is in it:
- Every company's team size, side by side, grouped by sub-sector
- Who grew their team over the last year, and by how much
- Who is losing people: attrition for each company, against the sector average
- Who is hiring right now, and how many open roles each has
I am Ben Jackson. I map this market, and I hire the commercial teams inside it: sales, marketing, product and delivery.
If you are building a team at a company like Embedl, want to work at one, or think Embedl is filed in the wrong place, put 20 minutes in my diary.
Book 20 minutes with Ben →