דרושים Software Engineer/Team Lead - AI/ML Platform בתל אביב

We are a fast-paced R&D team working on a cutting-edge project spanning multiple technical domains, including * * machine learning, computer vision, data pipelines, and software engineering. * *

• • Location: * * Ramat Gan
• • Role Overview: * *

Seeking a hands-on Software Engineer/Team Lead to architect, code, and lead the implementation of a distributed platform for complex AI/ML processing pipelines. The role involves technical leadership and customer interaction.

• • What You’ll Do * *

• Lead the engineering team building a distributed orchestration system.

• Own the design of core components and maintain the architectural coherence.

• Supervise implementation quality, review designs.

• Contribute significant production-level code: Python + systems-level components.

• Collaborate with early customers to define requirements, write clear technical documentation, and contribute to customer-facing materials.

• • Must-Have Skills * *

• *  * Strong software engineering fundamentals *  * : concurrency, multiprocessing, async I/O, queues, IPC, networking, memory-mapped files, linux system internals.
  

• *  * Deep experience with distributed systems *  * : controllers/workers, coordination, reliable communications, high availability, failover, state persistence, shared storage.
  

• *  * Solid containerization experience *  * : Docker image builds; environment isolation, dependencies management, multi-container pipelines structure.
  

• *  * Familiarity with Kubernetes concepts *  * : CRDs, operators/controllers, autoscaling, node-level behavior (not just “kubectl apply”).
  

• *  * Hands-on experience with GPU workloads *  * : CUDA/PyTorch/TensorRT, GPU scheduling, batching, profiling, performance bottleneck hunting.
  

• *  * Excellent Python *  *   *  * for production *  * : robust structure, logging, testing, performance optimization; ability to work around GIL constraints.
  

• *  * Ability to design for efficient inter-process communications and parallelism *  * : multi-process, multi-thread, microbatching.
  

• *  * Comfort debugging distributed failures *  * : race conditions, container crashes etc.
  

• *  * Proficiency in Git and related workflows *  * : experience with Gitlab/Github, rebase-oriented strategies, and rapid concurrent development.
  

• *  * Clear written and spoken English *  * : technical documentation and conversations, knowledge of Hebrew and/or Russian – advantage.
  

• • Who Will Not Be a Good Fit * *

• People with only front-end or web-service experience.

• ML researchers who don't write production systems.

• DevOps/infra engineers who don't write significant backend code.

• Candidates who only use Kubernetes for simple deployment.

• Junior engineers or those uncomfortable owning architecture + code.