Senior AI Systems Engineer(Outstaff with the potential of transition to In-House Model) Offline

😊 About us

ZentixSoft is a young British-Ukrainian full-cycle IT company. We are all about cool solutions and constant growth, and our main principle is People over processes. Our team has been working together for almost 5 years, and now we are looking for a proactive Senior AI Systems Engineer to join a highly technical R&D team.
 

📝 About the project & conditions

The project involves workload characterization, performance modeling, and HW/SW co-design for state-of-the-art AI workloads. You will work on identifying performance bottlenecks, modeling execution patterns, and contributing to system-level optimization strategies involving both software and hardware components.
 

• Format: Outstaff.
• Team Structure: Core technical leadership based in Israel; close collaboration with the Israeli engineering team and periodic interaction with the West Coast (US) team.
• Collaboration: Working directly with senior technical stakeholders involved in architecture, performance analysis, and system design.
   

😉 What we expect from you

• Background: Strong background in AI systems, deep learning internals, or computational modeling.
• Experience: Proven experience analyzing or optimizing AI/ML workloads.
• Deep Understanding: Knowledge of GPU/CPU architecture, memory hierarchy and data locality, parallel compute models, and execution runtimes.
• Technical Skills: Proficiency in Python, C++, or another system-oriented language.
• Performance: Experience profiling and debugging performance bottlenecks and the ability to translate algorithmic concepts into hardware-aware execution strategies.
• Analysis: Strong analytical thinking and deep understanding of neural network computational behavior.
   

🌟 Would be a big plus

• Experience with HW/SW co-design, custom accelerators, or inference runtimes.
• Knowledge of compilers, kernel fusion, graph optimizers, or execution engines.
• Hands-on experience with large-scale AI infrastructure and inference pipeline optimization.
• Research background (PhD or significant contributions such as papers, white papers, internal research).
• Experience bridging research → production.
• Proficiency with performance profiling tools (GPU/CPU profilers, benchmarking frameworks).
   

🚀 Responsibilities

• Analyze and model performance characteristics of modern AI workloads on real hardware.
• Investigate computational and memory bottlenecks in deep learning models (including transformers and LLMs).
• Map algorithmic designs to hardware execution models (GPU, CPU, accelerators).
• Evaluate and improve parallelism, data movement, and memory hierarchy utilization.
• Collaborate closely with AI researchers, systems engineers, and hardware specialists.
• Contribute to architectural decisions and core R&D topics shaping the direction of the product.
• Help define optimization approaches across software, runtime, and system layers.
   

✨ What awaits you at ZentixSoft

• 📈 Professional Growth. We create an individual development plan for your career path.
• 💵 Salary Review. A structured policy to ensure your compensation grows with your skills.
• 🎓 Knowledge Sharing. Access to general training, workshops, and internal knowledge-sharing sessions.
• 🤝 Corporate Culture. Full access to our corporate culture and team activities whenever possible.
• 🗣️ English. We fully cover classes with a teacher.
• ⚖️ Work-Life Balance. We work without overtime and respect your personal time.
• 💻 Tools. We cover the cost of all tools needed for work.
• 🦾 Trust. Zero micromanagement — only freedom in making technical decisions.
   
• Interview process:
  - Interview with Recruiter
  - EnglishCheck
  - Internal Tech Interview
  - Interview with the client
   

📩 If you feel like this is about you - send your CV, and if it's a match, we will get in touch soon!