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Requirements:
FPGA Verification engineer (6160) We are seeking a talented and experienced FPGA Verification engineer to join our hardware development team. In this role, you will be responsible for defining and executing comprehensive verification strategies for complex FPGA-based systems, from architectural definition through system integration. You will work closely with FPGA designers, system architects, algorithm teams, and board designers to ensure high-quality and robust designs using advanced verification methodologies and tools. Key Responsibilities Develop and maintain advanced verification environments using SystemVerilog and UVM
Write testbenches, behavioral models, monitors, and scoreboards
Create directed and constrained-random TEST scenarios
Execute simulations, analyze results, and perform in-depth debugging
Define and track functional and code coverage metrics
Collaborate with design engineers to identify and resolve design issues
Support system integration and bring-up activities
Contribute to verification planning and documentation Required Qualifications B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or related field
5+ years of experience in FPGA/ASIC verification
Strong proficiency in SystemVerilog
Hands-on experience with UVM methodology
Experience with simulation tools such as ModelSim, Questa, VCS, or equivalent
Solid understanding of digital design and FPGA architectures
Strong debugging and problem-solving skills Location: Haifa, Israel

Requirements:
4+ years hands-on in Infrastructure/DevOps roles.

At least 3+ years in leadership/management role. Managing and scaling infra/DevOps teams (5+ engineers).

Experience decomposing large initiatives into phased, incremental programs.

Deep knowledge of automation and CI/CD pipeline tools (GitHub Actions, GitLab CI, Jenkins, etc.).

Proficiency in GCP.

Exposure to hybrid setups (cloud + on-prem).

A team player with excellent collaboration, communication skills to collaborate with product, engineering, security, and leadership stakeholders.

Strong analytical, diagnostic, and problem-solving skills with the ability to work independently and take ownership.

Proven experience working with AI tools to speedup processes and improve efficiency.

Be able to adapt to new technologies and infrastructure.

Requirements:
5+ years of experience in Software Engineering, with a focus on system architecture - at least 3 years of experience in ReactJs.
Strong problem-solving skills, capable of meeting technical challenges head-on.
A passion for learning, constantly staying up to date with industry trends and technology advancements.
Strong product understanding. Passion for the product, knowing the business.
Resourceful, self-motivated, and capable of working independently.
Effective communication skills to explain complex topics in English.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.

Requirements:
Proficiency in modern system architecture with large-scale and high performance.
Strong problem-solving skills, capable of meeting technical challenges head-on.
Proven ability to mentor junior developers, guiding them to reach their full potential.
A passion for learning, constantly staying up to date with industry trends and technology advancements.
Resourceful, self-motivated, and capable of working independently.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.
B.Sc in computer science or equivalent.
Fluent English

Requirements:
proficiency in modern system architecture with large-scale and high performance.
Strong problem-solving skills, capable of meeting technical challenges head-on.
Proven ability to mentor junior developers, guiding them to reach their full potential.
A passion for learning, constantly staying up to date with industry trends and technology advancements.
Resourceful, self-motivated, and capable of working independently.
B.Sc. in Computer Science or equivalent.
Fluent English
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.

Requirements:
4+ years of experience as a Data Engineer.
4+ years of Python and SQL experience.
4+ years of experience in data modeling and building scalable ELT/ETL pipelines across leading Data Warehouses (Snowflake - Preferred, Redshift, BigQuery).
3+ years of experience designing and managing automated data pipelines using Apache Airflow.
3+ years of experience developing scalable, production-grade data models with DBT.
Hands-on experience with cloud environments (AWS preferred) and big data technologies.
Strong troubleshooting and debugging skills in large-scale systems.
Proven experience packaging applications with Docker and utilizing Argo Workflows to automate, execute, and monitor containerized task sequences.
Experience with design patterns, coding best practices.
Proficiency with Git and modern source control.
Basic Linux/Unix system administration skills.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.

Requirements:
Bachelors degree in Computer Science or a related field.
5+ years in software engineering, focusing on system architecture.
Hands-on experience with Kotlin, Java, or Scala.
Familiarity with microservices architecture.
Experience with databases: relational, document DBs, etc
Experience with message queues
Experience with the Spring Framework.
Background in fintech is a significant advantage.
Proficiency in AWS or similar cloud platforms.
Knowledge of event streaming systems.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.

Requirements:
2+ years of leadership experience, guiding engineering teams and making architectural decisions
8+ years of software engineering experience, with a strong focus on scalable architecture and system design
Proficiency in modern system architecture with large-scale and high performance.
Impact driven - use data to make sure every task moves the needle and utilize your resources to maximize the team's impact.
Team player with strong communication skills and someone who thrives working in a fast-paced environment.
Creative, solution-oriented, and able to maintain a can do attitude, with the ability to work efficiently under pressure and uncertainty. Adapt quickly to changing business needs.
Familiarity with microservices architecture and distributed systems.
B.Sc in computer science or equivalent.
Fluent in English.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.

Requirements:
B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience).
5 + years of experience in software development (Backend focused), with a strong emphasis on system architecture.
2+ years of experience leading engineering teams, mentoring developers, and managing end-to-end project lifecycles in production environments
Strong background in building large-scale, high-performance systems and designing distributed microservices.
Experience with data pipelines and big data infrastructure (familiarity with tools like Spark, Airflow, or Snowflake is a plus).
Hands-on experience with Java or Kotlin in production, and familiarity with Cloud technologies (AWS).
Ability to collaborate and communicate effectively across teams (Engineers, Product, Legal) and with senior leadership.
Passion for compliance, data accuracy, and impactful results. Solution-oriented mindset with a proactive approach to problem-solving.
Adaptability to thrive in a fast-paced, dynamic environment.
Proficiency in written and spoken English.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.

Requirements:
​​Experience in animation, VFX, post-production, game design, or creative marketing environments
Strong understanding of production pipelines (offline/online, render farms, asset management)
Hands-on experience with generative AI tools (preferably open-source) such as Stable Diffusion, ComfyUI, and LTX.Understanding of ControlNets, LoRAs, IP-Adapters, and creative AI pipelines
Independence in planning and executing experiments to solve open-ended, high-impact problems
Proficiency in at least one major creative tool (After Effects, Nuke, Blender, Cinema 4D, etc.)
A strong portfolio showcasing AI-driven creative workflows

Requirements:
4+ years of professional experience in 3D, animation (2D/3D), VFX, compositing, CGI, or related creative production environments
Strong visual judgment and refined design taste, with the ability to critically evaluate and select high-quality visual outputs
Hands-on experience experimenting with AI-based creative tools (image/video generation, LLM workflows, etc.)
Strong affinity for technology and AI: comfortable experimenting independently and not AI-averse
Experience working in creative studios, post-production houses, or similar production environments
Ability to own projects end-to-end and translate ideas into working demos, workflows, and features
Comfort operating in a fast-evolving, ambiguous environment where responsibilities may evolve
Strong collaboration skills and ability to work closely with PMs, developers, and researchers
Experience with ComfyUI, Cursor, Claude, AI Studio, or similar tools - advantage
Experience with vibe coding and building lightweight prototypes or internal tools - advantage
Active engagement with the AI creator community and staying up to date with emerging models and techniques

Requirements:
M.Sc. in computer science or a related field; Ph.D. preferred.
Strong background in generative AI, with familiarity in video and image generation and processing.
Demonstrated ability to originate ideas and drive projects from concept to implementation.
Familiarity with the latest research in generative AI and motivation to stay at the cutting edge.
Independent, proactive, and collaborative, with strong communication skills.

Requirements:
Industry experience with small to large-scale ML experiments and multi-modal ML pipelines.
Strong software engineering skills, proficient in Python, and experienced with modern C++.
Deep understanding of GPU, CPU, TPU, or other AI accelerator architectures.
Enjoy diving deep into system implementations to improve performance without compromising code quality and maintainability.
Passion for driving ML large-scale training workloads efficiently and optimizing compute kernels.

Requirements:
Track record of coming up with new ideas or improving upon existing ideas in generative AI, demonstrated by accomplishments such as first-author publications or projects.
Excellence in engineering as well as research with strong programming skills in Python, and deep familiarity with machine learning frameworks.
Experience in training large diffusion transformer models from scratch.
Proven track record of handling large-scale datasets to train neural networks effectively.
PhD or equivalent experience in the field of generative AI - a plus.

Requirements:
Experience training, fine-tuning, or post-training large-scale VLLMs or multimodal foundation models.
Strong software engineering skills, proficient in Jax or PyTorch.
Ability to develop and implement computer vision models for data filtering and evaluation.
Understanding of relevant topics in statistics, clustering.
Enjoys delving into system implementations to enhance performance and maintainability.