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Were seeking a Team Lead - Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader-capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.
You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.
Key Responsibilities
Leadership & Team Management Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
Define and enforce coding standards, architectural patterns, and best practices.
Collaborate with stakeholders to translate business needs into AI-driven solutions.
Manage project timelines, technical risks, and team deliverables.
Generative AI & Prompt Engineering Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
Implement safeguards (guardrails, structured output validation, injection protection).
Architecture & Backend Development Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
Drive observability: tracing, logging, monitoring for LLM-powered systems.
Evaluation & Optimization Benchmark and evaluate LLMs using custom datasets and automated testing.
Oversee system reliability, performance tuning, caching, and optimization.
Ensure solutions meet enterprise-grade standards for security and scalability.

We are looking for a highly skilled AI Engineer to join an advanced R&D environment within the security sector.
Responsibilities:
Develop advanced Python-based systems and integrate a variety of AI models into software solutions.
Implement and deploy AI models in On-Premise environments, including full integration within existing systems.
Work closely with a multidisciplinary team in a dynamic, innovative technological environment.

We are looking for an IP Design Verification Lead for our team in Haifa to drive verification for next-generation PHY IPs. The PHY DV team operates at the intersection of verification, research, and innovation, continuously improving techniques, models, and flows to increase the efficiency and quality of PHY verification. This is a hands-on technical leadership role, combining deep verification expertise with team leadership and close collaboration with design, architecture, firmware, and system teams.

Lead the verification team, including hiring, planning, and communication with management.
Strong teamwork and communication skills.

Join our innovative SoC hardware development team as a UPF Methodology Engineer. In this role, you'll play a key part in defining the flow for next-generation UPF, enhancing our existing UPF framework, and ensuring its successful implementation and verification across our mobile products.

Your primary focus will be to advance our UPF methodology, improving power intent definition,
implementation, and verification for cutting-edge mobile products.
Key tasks include:
Driving coverage of power intent through static and dynamic checking methodologies.
Implementing custom UPF to meet specific project needs.
Leading UPF implementation and sign-off processes for FE and P&R.
Performing checks on power intent for custom circuits.
Collaborating closely with designers and the design verification team to debug and resolve any UPF flow issues.

Responsibilities:
We're seeking a candidate with strong expertise in ASIC design methodology, particularly focused on power definition. Ideal qualifications include:
Proficiency in UPF implementation and verification.
Strong skills in scripting languages such as Python and Tcl.
Familiarity with CMOS design power.
Familiarity with multi-voltage static checkers (e.g., VSILP/VCLP, CLP).
Knowledge of the full RTL-to-GDS flow
Excellent communication skills, as you'll interface with diverse teams.

As a PNR/PD-CAD team member, you will have an impact on a wide range of activities and domains in the PD world. The team develops and supports utilities that enable an efficient work environment for the physical design teams across the world.

The role includes exploring new technologies and methodologies of first-of-its-kind designs, and the complex implementation of designs from small ones to the largest possible.
The job includes hands-on work and impact on all aspects of the design cycle, from infrastructure-related automation for design efficiency through developing internal PNR flows, which will enable improved designs - from PNR implementation through developing infra, signoff flows & verification utilities.

Responsibilities:
The job includes constant work with different teams and disciplines that interface with the PNR world, which includes Timing, power delivery, synthesis, Physical Verification, and more.
Along with the different disciplines, you will work with different teams, from vendors, PD team members and other CAD team members and discipline owners across the world to enable and improve the productivity of the PD flows.

You will join a dynamic quality assurance engineering team, responsible for functional and performance validation of Wi-Fi (and other wireless technologies) features on Apple products. In this role you will be responsible for design and development of automation for testing embedded firmware and entire systems. You will be required to lead investigations and analyze failures or performance behavior. It is required to master the skills of problem solving, creativity and programming along with achieving detailed understanding of embedded systems and our wireless protocols.

Annapurna Labs, a key division within our company Web Services (AWS), seeks a Senior Software Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

We are seeking an experienced ASIC AI/ML Engineer with deep expertise in AI/ML infrastructure and application development specifically for semiconductor design verification disciplines. The ideal candidate will have a proven track record of delivering end-to-end AI solutions from concept to large-scale production deployment.
In this role, you will collaborate directly with architects, designers, verification engineers, software teams, and backend specialists to define best practices and deploy production-ready AI-driven workflows and applications. Your focus will be on implementing LLM, GenAI, and classical ML solutions that transform our ASIC design verification processes and accelerate our path to tape-out.
Key job responsibilities
Develop and maintain scalable AI/ML infrastructure for ASIC design and verification teams
Architect, develop, and deploy production-ready AI/ML applications for semiconductor design workflows
Design and implement GenAI solutions including LLMs and agentic AI systems for verification processes Invent innovative AI-driven solutions to eliminate identified inefficiencies in design and verification flows
Establish best practices and standards for AI/ML application development in semiconductor environments
Create monitoring and observability frameworks for AI model performance in production design environments
Collaborate cross-functionally with architects, designers, verification engineers, and software teams
Research and evaluate emerging AI technologies for applicability to semiconductor design challenges.

Nuvoton Technology Israel, based in Herzliya, is seeking an experienced rt / Embedded Firmware Developer to join our team, developing advanced Embedded firmware for our security chips (TPM). As part of our multi-disciplinary group, youll help shape innovative security solutions for the global PC market and contribute to products at the technological forefront. Responsibilities Design and develop Embedded firmware for Nuvotons TPM security chips. Collaborate with hardware, software, and security teams to deliver robust and secure firmware. Maintain, optimize, and enhance existing firmware, drivers, and boot loaders. Participate in code reviews, debugging, and system integration.

Eco Wave Power, a fast growing publicly traded renewable energy company based in central Tel Aviv, is looking for a talented Mechanical Engineer to join the multidisciplinary engineering team.
Objectives of this role:
Designing and modeling mechanical parts and assemblies
Preparing manufacturing drawings
Technical documentation of R D processes.
Preparation and submission of technical reports for grants.
Assistance in the preparation of new patents on the Companys proprietary technology.
Writing reports and studies on the Companys technology and operational projects.
Technical documentation of different elements related to technology, projects, products etc
Calculations and feasibility studies for projects.

We are seeking a Senior Cloud FinOps Specialist to join our team and lead cloud financial services to our wide customers including FinOps Frameworks, best practices, cost optimization sessions, tools usage and more. If you are passionate about the cloud, excel in analytics, and have experience working with advanced customers, we'd love to hear from you.
As a Senior Cloud FinOps Specialist at Commit, you will be responsible for driving cloud cost optimization initiatives, providing strategic insights, and collaborating with advanced customers to achieve significant cost savings while maintaining top-notch cloud performance. Your role will encompass a deep understanding of cloud architecture aspects related to cost optimization and the ability to articulate findings in assess and recommendation documents.
Key Responsibilities:
Cloud Cost Optimization: Lead cloud cost optimization sessions by analyzing existing cloud infrastructure and identifying opportunities for cost reduction.
Advanced Customer Engagement: Collaborate with advanced customers to understand their specific cloud cost challenges, requirements, and goals. Provide tailored solutions to address their unique needs.
Analysis and Insights: Utilize your strong analytical skills to review cloud consumption data, identify inefficiencies, and recommend optimization strategies.
Cost Model Development: Create and maintain cloud cost models and pricing scenarios to support optimization efforts.
Documentation: Produce high-quality, formal documents and reports to present findings, recommendations, and cost optimization plans to customers.
Cost Monitoring: Implement and maintain cloud cost monitoring tools and dashboards to track and report on cost savings.
Cloud Architecture Expertise: Understand cloud architecture aspects that influence cost, such as resource provisioning, scaling, and resource utilization.
Cost-Effective Best Practices: Stay current with industry best practices and emerging cloud technologies to ensure our cost optimization strategies align with the latest trends.