Q.ANT
Senior Developer Relations Manager - Photonic AI(m/w/x)
Full-timeWith HomeofficeSenior
Stuttgart, München
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Q.Q.ANT
Lead Software Engineer - Photonic Ecosystem(m/w/x)
Stuttgart, München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Photonic ecosystem enablement, integrating hardware into AI frameworks and upstream repositories. 5+ years open-source development experience required. Direct leadership access, innovative work environment.
Requirements
- Proven experience in open-source software development (5+ years)
- Demonstrable track record in open-source development
- Strong experience developing AI or compute frameworks (2+ years)
- Significant contributions to AI open-source projects
- Strong Python skills for framework development
- Strong Python skills for integration
- Strong Python skills for ecosystem tooling
- Deep knowledge of AI algorithms
- Deep knowledge of neural network operations
- Deep knowledge of linear algebra operations
- Deep knowledge of implementation in compute frameworks
- Solid understanding of hardware acceleration architectures
- Solid understanding of performance optimisation
- Foundational understanding for enabling photonic hardware
- Solid grounding in open-source development processes
- Solid grounding in open-source development tooling
- Strong ownership
- Strong communication
- Strong commitment
- Drive ecosystem enablement end-to-end
- Represent Q.ANT externally with clarity and professionalism
- Sustain effort through long upstream contribution cycles
- Proficiency in C/C++ or Rust for performance-critical components is desirable
- API design skills are a plus
- API testing skills are a plus
- API documentation skills are a plus
Tasks
- Own the photonic enablement of the open-source software ecosystem
- Drive integration of Q.ANT's hardware into base libraries and AI frameworks
- Get code accepted into upstream repositories and package managers
- Ensure default installations support Q.ANT hardware out of the box
- Maintain code in upstream repositories long-term
- Serve as Q.ANT's focal point for open-source software projects
- Build trust and demonstrate reliability in development communities
- Represent Q.ANT professionally in communities like PyTorch
- Guide ecosystem partners on code design and development
- Guide ecosystem partners on upstreaming and maintenance
- Deliver technical briefings to partners and internal teams
- Deliver training to partners and internal teams
- Enhance the common native photonic standard library
- Ensure frictionless, vendor-agnostic use across the software ecosystem
- Align closely with internal teams
- Bridge external community requirements into Q.ANT's development roadmap
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
- German – is a plus
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
- llama.cpp
- vllm
- GitHub
- CI/CD pipelines
- C/C++
- Rust
Benefits
Startup Environment
- Direct leadership access
- Innovative work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Q.ANT and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Q.Q.ANT
Lead Software Engineer - Photonic Ecosystem(m/w/x)
Stuttgart, München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Photonic ecosystem enablement, integrating hardware into AI frameworks and upstream repositories. 5+ years open-source development experience required. Direct leadership access, innovative work environment.
Requirements
- Proven experience in open-source software development (5+ years)
- Demonstrable track record in open-source development
- Strong experience developing AI or compute frameworks (2+ years)
- Significant contributions to AI open-source projects
- Strong Python skills for framework development
- Strong Python skills for integration
- Strong Python skills for ecosystem tooling
- Deep knowledge of AI algorithms
- Deep knowledge of neural network operations
- Deep knowledge of linear algebra operations
- Deep knowledge of implementation in compute frameworks
- Solid understanding of hardware acceleration architectures
- Solid understanding of performance optimisation
- Foundational understanding for enabling photonic hardware
- Solid grounding in open-source development processes
- Solid grounding in open-source development tooling
- Strong ownership
- Strong communication
- Strong commitment
- Drive ecosystem enablement end-to-end
- Represent Q.ANT externally with clarity and professionalism
- Sustain effort through long upstream contribution cycles
- Proficiency in C/C++ or Rust for performance-critical components is desirable
- API design skills are a plus
- API testing skills are a plus
- API documentation skills are a plus
Tasks
- Own the photonic enablement of the open-source software ecosystem
- Drive integration of Q.ANT's hardware into base libraries and AI frameworks
- Get code accepted into upstream repositories and package managers
- Ensure default installations support Q.ANT hardware out of the box
- Maintain code in upstream repositories long-term
- Serve as Q.ANT's focal point for open-source software projects
- Build trust and demonstrate reliability in development communities
- Represent Q.ANT professionally in communities like PyTorch
- Guide ecosystem partners on code design and development
- Guide ecosystem partners on upstreaming and maintenance
- Deliver technical briefings to partners and internal teams
- Deliver training to partners and internal teams
- Enhance the common native photonic standard library
- Ensure frictionless, vendor-agnostic use across the software ecosystem
- Align closely with internal teams
- Bridge external community requirements into Q.ANT's development roadmap
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
- German – is a plus
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
- llama.cpp
- vllm
- GitHub
- CI/CD pipelines
- C/C++
- Rust
Benefits
Startup Environment
- Direct leadership access
- Innovative work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Q.ANT and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Q.ANT
Industry
IT
Description
The company is a photonic technology scale-up that advances and industrializes photonic and quantum technologies in computing and sensing.
Not a perfect match?
- Q.ANT
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