לוח משרות דרושים

As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power our companys next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code modelsoptimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

CTO Group is looking for a New Technology Manager with strong expertise in experimental optics, broad technological knowledge, and proven leadership in driving innovation from concept to implementation.

In this role, you will lead a multidisciplinary team, oversee multiple research and development projects, and collaborate with internal and external partners to integrate emerging technologies into Novas innovation pipeline.

Responsibilities
What you will be doing:

Lead and mentor a multidisciplinary team of scientists and engineers to deliver high-impact technology projects.
Plan, prioritize, and oversee multiple R&D initiatives, managing the process from concept through feasibility and early development stages.
Identify emerging industry needs and scout, evaluate, and recommend disruptive technologies to address them.
Guide experimental design and execution in optical systems, ensuring robust testing, validation, and documentation practices.
Foster collaboration across internal teams and with external partners, including academia, industry, and suppliers.
Influence Novas long-term strategic direction by integrating novel technologies into the corporate roadmap.
Ensure effective project management, including budgeting, resource allocation, and milestone tracking to meet organizational objectives.

Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
The Role
Were looking for a FinOps Lead to own the bridge between Finance and Technology. Youll set direction, translate business goals into scalable systems, and drive delivery across Finance, MIS, BI, PMO, and Product/Engineering.
What youll do
Translate strategy to systems: Turn business needs into crisp, testable requirements, data models, and acceptance criteria.
Lead delivery: Drive projects end-to-enddesign, build, UAT, cutover, and post-go-live stabilization. Hold owners to dates and quality.
Level-up financial systems: Partner with MIS/BI to optimize the financial operations stack improving connectivity, automation, and accuracy across core systems supporting quote-to-cash and record-to-report.
Improve processes: Remove manual work, reduce defects, and increase automation across billing, revenue, collections, and reporting.
Strengthen controls: Design preventative/detective controls, segregation of duties, and audit-ready documentation (SOX/ASC 606).
Change management: Build training, run enablement, and communicate changes that stick across global teams.
Scale for growth: Support M&A integrations, new products/pricing, and geographic expansion with resilient data and process design.
Partnerships and revenue share: Support financial operations for partner-driven revenues and revenue-sharing models, ensuring accuracy and compliance.

Come and be you with us
Being a worker is all about being you. We want you to bring all parts of yourself to work. giving you the freedom and confidence to be the best you and do your best work.
were waiting with open arms. Come join us.
About the Team
The AI team at our company is at the forefront of integrating cutting-edge AI technologies into our product, delivering features that enhance user experience, empower decision-making, and drive business insights.
We work in a true continuous delivery environment, with fully automated QA processes and a modern microservices architecture deploying to
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into our companys core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

we are looking for a Linux Kernel Developer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.