ML Engineering Team Lead

We are looking for an experienced team lead for our AI pipelines team. 

Company Overview 

Neureality is developing an innovative HW/SW computing platform for DL inference acceleration which sets new, unprecedented, bars of high-performance and cost. Our platforms are targeted for  cloud and enterprises (in-perm) environments. 

Role description 

You will lead a small talented core team of Neureality R&D which is responsible for the following main deliverables:  

  • Designing, analyzing, and optimizing workloads from various sources (open source, customer provided, home-grown) on Neureality platforms. The focus is on workloads for NLP, speech, and computer-vision. 
  • Benchmarking and competitive analysis of workloads on other inference acceleration platforms. 
  • Working directly with customers on new requirements and efficient deployment of their workloads on Neureality platform 
  • Identifying missing gaps and new requirements for SW/HW to improve workload performance and efficient deployment. 

This is an exciting opportunity to work on cutting-edge and emerging technologies, across multi-disciplinary domains of deep-learning models and computer architectures.  

This is not a position of data science! 

Role responsibility: 

You will lead a small engineering team (3-5 engineers) 

  • Provide both technical and managerial leadership. 
  • Participate in design reviews, perform code reviews, and take part in coding tasks. 
  • Foster a collaborative and innovative team culture, ensuring effective communication and knowledge sharing. 

Must-have requirements:  

  • BSc/MSc in Computer Science or Computer Engineering from the accredited university 
  • Strong hands-on in Python programming and DL frameworks (mainly PyTorch)
  • Proven experience in ML engineering and specifically, developing of AI pipelines (composed of  pretrained DL models and pre/post processing), data streaming, model zoo handling, and inference serving in production environments. 
  • Experience as a technical lead of small R&D SW teams.  


  • Experience using Nvidia tools and leveraging CPU+GPU instances on cloud or on-premises for development and for in-production deployment. 
  • Experience with C++ and software programming principles (e.g., OOP, design patterns) 
  • Working with remote (offshore) partners. 
  • Caesarea Main Office: 14 Tarshish Street, Industrial Park Caesarea 3079559, Israel
    Tel Aviv: 94 Igal Alon Street, Alon 2 Tower , Tel Aviv, Israel
    Poland: Fronton Kraków Business Center (Regus), ul. Kamienna 21, 31-403 Kraków, Poland
    US/California Office: 2880 Zanker Road, Suite 203, San Jose, CA 95134
  • Corporate Office
    +972 74-7023333
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