דרושים » תוכנה » CTO

A growing start up in the Sharon area is hiring a VP R&D & AI to manage the development of our AI software and to own our technology development strategy. This is a strategic management role reporting to the CEO and participating in all senior leadership forums.
As part of this role you will be responsible for:
* All R&D customer facing technology
* Management of the development and research teams creating this technology
* Bringing the voice, needs and challenges of our R&D into all leadership forums
* Owning our R&D development strategy including decisions on architecture and tech-stack
* Fostering a culture of AI innovation within the AI development team and across the whole business

We are looking for a team lead to join the DOCA SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of BlueField data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you'll be doing:
Lead a small team of software engineers (2-3 developers).
Design and develop verification infrastructure to ensure the reliability, functionality, and quality of the DOCA SDK.
80% hands on development in python.
Provide technical leadership, mentorship, and guidance to the team.
Ensure high-quality code through code reviews and best practices.
Provide guidance and support to team members, fostering their professional growth and development.

Required Tech Lead - AI Dev Platform
Job Summary
The AI Core Components (AIPCC) Dev Platform team, part of our AI Engineering organization, is seeking a seasoned technical leader who is passionate about open source, developer enablement, and the infrastructure that powers our AI/ML products.
As the Tech Lead, youll play a critical role in shaping the technical direction of the Dev Platform team, providing technical oversight, mentorship, and strategic guidance to engineers as they build and support internal platforms and tools that accelerate AI development across. You will work hands-on with the team to architect solutions, review code, unblock challenges, and cultivate a culture of technical excellence.
In this role, youll partner closely with Product Management, cross-functional engineering teams, and external collaboratorsincluding open source communities and hardware partnersto guide the design and development of high-impact platform capabilities. Your leadership will directly influence the success of os rapidly growing portfolio of AI/ML offerings.
If youre energized by solving complex problems, growing technical talent, and scaling infrastructure for innovation, this is an opportunity to make a meaningful impact.
What You Will Do:
Lead technical strategy and decision-making for the Dev Platform team, ensuring architectural consistency, scalability, and maintainability across projects.
Act as a technical mentor and coach, guiding team members through design, implementation, and career development.
Provide technical oversight and review of engineering work to uphold quality, security, performance, and operational best practices.
Collaborate with Engineering, Product Management, and Support to scope, prioritize, and deliver high-value platform capabilities.
Work with team leadership to evaluate new project opportunities, proposing effective technical approaches, and driving solutions from concept to production.
Serve as a point of technical escalation for complex development challenges or infrastructure bottlenecks.
Represent the Dev Platform team in cross-functional initiatives and advocate for developer platform needs across the AI Engineering organization.
Engage with upstream open-source AI/ML communities to inform our strategy and align our platform development with evolving community standards and tools.
Collaborate with hardware partners to ensure emerging AI acceleration technologies are evaluated and integrated where appropriate.

We are seeking a Software Engineering Manager to lead a team focused on validating third-party AI models for compatibility with our AI platforms. This role involves overseeing the development of automated pipelines for benchmarking inference performance, evaluating accuracy, and enabling the publication and internal consumption of validated models. The ideal candidate brings strong leadership skills, a DevOps mindset, and experience building scalable microservices.
What you will do:
Lead a team responsible for validating third-party AI models on our AI platforms.
Design and maintain automated pipelines for model performance and accuracy evaluation.
Ensure validated models are published and accessible for customer use.
Collaborate cross-functionally with engineering, product, and sales enablement teams to surface validation data and support go-to-market efforts.
Guide architectural decisions around microservices and devops practices to support scalable and reliable validation workflows.
Foster a high-performing team culture through mentorship, technical guidance, and career development.
Collaborate with partners who are both consumers and contributors of the team's deliverables.
Foster a culture of innovation, collaboration, and continuous learning.
Manage project timelines and resources.
Communicate technical plans and progress to stakeholders.