We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

Senior Software Engineer - Photonic Ecosystem (f/m/d)

middlehybridStuttgart, DEScore 63/1001d ago
Market insights
📊 Architecture: salaries and demand on the market
Stack
c++ci/cdgithubnumpypythonpytorchrusttensorflowvllm
Show company and link
Free. Sign in with email.
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
Your mission Location: Stuttgart or Munich, Germany Type: Full-time, hybrid (max. 1-2 days remote work per week) The future of AI computing builds on light. Q.ANT is building photonic processing systems that compute with light - delivering a scalable, energy-efficient alternative to transistor-based architectures for next-generation AI and HPC applications. As Senior Software Engineer - Photonic Ecosystem (f/m/d) , you will own Q.ANT’s presence and credibility in the open source software ecosystem. Your mission is to make photonic computing accessible out of the box - ensuring that default installations of frameworks like PyTorch, JAX and vllm can leverage Q.ANT’s photonic hardware without friction. You will drive the photonic enablement of base libraries and AI frameworks from design through upstream acceptance and long-term maintenance, and serve as Q.ANT's trusted focal point in open source development communities. In this role, you will bridge internal teams - algorithms, compiler, device control, infrastructure, and system architecture - with the requirements of the external ecosystem. What You Will Do Own the photonic enablement of the open-source software ecosystem - drive integration of Q.ANT’s hardware capabilities into base libraries (OpenBLAS, Eigen, numpy) and AI frameworks (PyTorch, JAX, TensorFlow, llama.cpp, vllm) Get code accepted into upstream repositories and package managers so that default installations support Q.ANT hardware out of the box - and maintain
Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs