דרושים » תוכנה » AI Software SDK Senior Team Leader

Requirements:
3 years of experience in building high-quality embedded software using C/C++.
BSc/MSc in Computer Science, Electrical Engineering, or equivalent.
Proven experience developing and maintaining complex embedded systems, including multi-component software stacks, tight HW/SW integration, and system-level debugging.
Experience in designing and implementing software based on product & hardware specifications.
Experience working under tight memory, power, and real-time constraints.
Excellent interpersonal and communication skills, with a proven ability to work well in a team.
Advantages:
Experience in data-flow optimization using profiling tools.
Interaction with AI compilers / graph optimizers.
Familiarity with fixed-point / quantized inference is a strong plus.
Familiarity with neural network open-source frameworks such as PyTorch and TensorFlow.
Proficiency in Python coding.

Requirements:
B.Sc in Engineering, Computer Science, or related technical field.
5+ years of experience as SW Architect.
8+ years of experience as SW developer.
Proficiency in Python, C++.
Proven track record in Software Architecture development, maintenance and improvement over embedded processors in AI and vision domains.
Excellent communication skills, both verbally and in writing. Collaborative and influential across organizations.
Proven ability to advance initiatives effectively in ambiguous and dynamic environments.
Ability to work and operate in a highly dynamic environment.
Advantages:
Experience in implementing embedded SW over SoCs /DSPs/NPUs.
Experience in Linux Kernel and drivers development.
Familiarity with runtime frameworks such as ExecuTorch, MLIR iree, Onnx runtime.

Requirements:
What Were Looking For

5+ years of professional software development experience

Strong, proven experience in modern C++ (C++17/20)- multi-year hands-on development in native/cross-platform environments. We expect fluency with:

Modern language features (RAII, smart pointers, move semantics, templates,constexpr, the STL)

Concurrency and parallelism- threads, async tasks, synchronization primitives, atomics, and the C++ memory model, with the ability to write correct, high-performance multithreaded code

Clean, maintainable, well-structured C++ and modern build tooling (e.g. CMake)

Memory management, performance profiling, and debugging in native environments

Inter-process communication, native integrations, and low-level system programming

Cross-platform development across Windows and Linux

Experience with C# / .NET Core- valued alongside C++, as parts of the platform are built in .NET for extensions and integrated services. Strong C++ engineers who are newer to .NET are encouraged to apply; well support you in ramping up

Solid testing knowledge and discipline- you write unit and integration tests as a natural part of development, are familiar with testing frameworks (e.g. GoogleTest/Catch2) and practices such as mocking and test-driven development

Hands-on experience with AI-assisted development tools(e.g. Cursor, Claude Code) - you use AI to accelerate coding, code review, and problem-solving, and are keen to push these tools further

A customer-first mindset- comfortable jumping on customer calls and turning first-hand feedback into better software

Thrive in a globally distributed team- you communicate clearly and collaborate well across time zones and cultures

Experience working in and succeeding within agile development teams

Comfortable with change and continuous evolution of product direction

A get-your-hands-dirty attitude: not afraid to pick up a new technology or pattern quickly

A proven track record of producing high-quality, maintainable code and applying engineering best practices

Nice to Have (Not Required)

Experience with cloud services development, ideally on Azure

Experience with Docker and Kubernetes

Experience with DevOps pipelines and Cloud Operations (monitoring, observability, logging)

Experience developing automation engines or background service architectures

Requirements:
4+ years of relevant technical experience in software development.
Advanced experience working in a Linux environment with at least one language like Golang, Python, Java, C, or C++.
Advanced experience with a container orchestration ecosystem like Kubernetes, or Red Hat OpenShift.
Strong experience with microservices architectures and concepts including APIs, versioning, monitoring, etc.
Virtual Networking / Storage / Compute experience .
Ability to quickly learn and guide others on using new tools and technologies.
Proven ability to innovate and a passion for staying at the forefront of technology.
Excellent system understanding and troubleshooting capabilities.
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Technical leadership acumen in a global team environment.
Proficient written and verbal communication skills in English.

Requirements:
What we need to see:

BSc/MSc in CS/CE or related field (or equivalent experience).

At least 8 years of experience in ML engineering with a track record of deploying LLMs and agents to production at scale (including distributed environments).

Proficiency in Python and/or C++, with a deep understanding of ML/AI frameworks.

Hands-on experience with microservices, container orchestration, and cloud platforms for large-scale training and inference workloads.

Knowledge of ML training and inference optimization techniques.

Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins)

Experience with teaching and mentoring.

You are a proactive owner who takes pride in your work but remains humble and approachable. You believe that "how" we build is just as important as "what" we build.

Excellent collaboration skills, with the ability to explain complex infra concepts to non-technical stakeholders clearly and kindly.



Ways to stand out from the crowd:

Experience deploying and optimizing generative models and multi-agent systems for performance.

Deep systems knowledge (Linux internals, network protocols, or high-performance computing).

A background in security research, including knowledge of firewalls, intrusion detection, or network architectures.

Requirements:
What we need to see:

B.Sc./M.Sc. in Computer Science, Computer Engineering, or a related technical field.

8+ years of software engineering experience building production distributed systems.

Core Systems Programming: Expert-level proficiency in languages such as Go, C++, or Rust, with a focus on high-performance, concurrent architectures.

Solid understanding of Kubernetes and container-based deployments for production services.

Experience deploying, monitoring, and maintaining ML models or data-intensive services in a production environment.

Comfort working in ambiguous, fast-moving environments where the product is still being shaped.


Ways to stand out from the crowd:

Experience building ML model-serving platforms or MLOps tooling (model registries, A/B rollout frameworks, feature stores) at scale.

A track record of taking systems from prototype to stable, production-grade platform serving real enterprise customers.

A "Systems" Thinker: You don't just write software; you understand the full stack, from how data moves across the wire to how its processed in a distributed cluster.

Practical Innovation: The ability to simplify complex problems and build internal tools or frameworks that empower other engineering teams to move faster.

Requirements:
BSc in Computer Science/Software Engineering or equivalent
Experience in one of the following:
5+ years in cloud development
5+ years in JAVA Hands‑on experience building RESTful APIs in Java.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Excellent written and spoken English.
AI & Automation experience:
Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code -
using AI to accelerate development, improve code quality, and optimize system design.
Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar).
Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems.
Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale.
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot. Technical blog posts, talks, or presentations youve created. Contributions to open-source projects.
Experience solving complex or large-scale engineering challenges. (Big Advantage).

Requirements:
8+ years of experience working in a Linux environment with at least one language like Golang, Python, Java, or C or C++
Expert in a container ecosystem like Docker, Kubernetes, Red Hat OpenShift.
Expert in microservices architectures and concepts including APIs, versioning, monitoring, etc.
Ability to examine various technological areas deeply and deliver solutions
Experience with AI frameworks and tooling
Technical leadership acumen in a global team environment
Excellent debugging skills
Proficient written and verbal communication skills in English
Bachelor's degree in computer science or equivalent working experience
The following are considered a plus:
Experience with cloud development
Familiarity with virtualization, networking, or storage
Background in DevOps or site reliability engineering (SRE)
Experience with open source development

Requirements:
BSc/BA in Computer Science or equivalent.
6+ years of experience with Java or similar JVM/OOP languages.
Strong experience with AWS services (e.g., DynamoDB, EKS, IAM, S3, Lambda).
Solid understanding of system architecture, design patterns, and building complex distributed systems.
Handson experience with relational (PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Redis, etc.).
Practical experience building and maintaining production cloud services.
You will have an advantage if you also have:
Familiarity with data streaming or big data technologies such as Kafka, Flink, or Spark.
Experience building microservices using Spring Boot, Docker/containers, and Kubernetes.
Exposure to DevOps practices and tools (CI/CD pipelines, Jenkins, Terraform, Helm).
Background in SaaS product development.
Comfort using AI-based tools to speed up development and testing (such as GitHub co-pilot, Claude,).

Requirements:
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, graduated with Honors
AI Development Tools: Hands-on experience using AI-powered coding assistants and agentic development tools - not just familiarity, but meaningful integration into your workflow.
Communication: Ability to explain technical concepts clearly and influence adoption across teams with varying levels of AI experience.
As part of the initial stages of the recruitment process, you will be required to submit an AI project presentation based on a project built using Claude Code.