חיפוש עבודה

BSc/ MSc in Electrical Engineering or Computer Science

At least 5 years of experience in verification

Knowledge in design and verification tools and methodologies

Knowledge of UVM System Verilog.

Knowledge in Unix-based environments.

Developed UVM environments from scratch

Excellent communication and problem-solving skills.

Thinks outside the box - finds creative solutions for complicated tasks.

" Bachelors degree in Computer Science, Software Engineering, or equivalent experience.
" 5+ years of professional experience as a Frontend Engineer.
" Strong proficiency in TypeScript, HTML, CSS, and JavaScript.
" Hands-on experience with modern frontend frameworks such as React; Vue.js is a strong plus
" Familiarity with Node.js for build tools, development environments.
" Solid understanding of responsive design and cross-browser compatibility.
" Detail-oriented, with a commitment to writing high-quality, maintainable code.
" Strong problem-solving and debugging skills.
" Excellent communication and collaboration skills.
Nice to Have
" Experience with frontend testing frameworks (e.g., Jest, Playwright).
" Background in micro-frontends or scalable frontend architecture.
" Experience building or contributing to a component library or design system.
" Exposure to cybersecurity or networking products.

Bachelors degree in computer science, Software Engineering (or equivalent work experience).
5+ years of experience as a software engineer with hands-on production experience working in the backend side of complex systems.
Strong proficiency in at least one backend programming language (e.g., Go, C#) and associated frameworks.
Hands-on experience in the following technology stack: Kubernetes & Helm, Frontend experience, NodeJS (Typescript), Elasticsearch.
Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries.
Strong problem-solving skills and ability to work both independently and as part of a team.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
Low-level understanding of network protocols and Windows internals- advantage.
Experience with cloud services (GCP/AWS/Azure)- advantage.

At least 5 years of experience in a similar role
Hands-on experience with extended Berkeley Packet Filter (eBPF) and related concepts (kprobes & uprobes usage specifically).
Solid grasp of networking protocols and stack, including HTTP, TCP/IP, UDP, etc.
Programming Languages: Proficiency in at least one of C#/ C++/ Go language
Experience in scripting languages (e.g., Python, Bash).
Experience with Linux kernel module development, device drivers, and kernel internals.
Hands-on experience with system calls, multithreading, and memory management.
Experience with CI/CD pipelines and automation frameworks.

Bachelors degree in computer science, Software Engineering (or equivalent work experience).
1-3 years of experience as a software engineer with hands-on production experience working in the backend side of complex systems.
Strong proficiency in at least one backend programming language (e.g., Go, C#) and associated frameworks.
Hands-on experience in the following technology stack: Kubernetes & Helm, Frontend experience, NodeJS (Typescript), Elasticsearch.
Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries.
Strong problem-solving skills and ability to work both independently and as part of a team.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
Low-level understanding of network protocols and Windows internals- advantage.
Experience with cloud services (GCP/AWS/Azure)- advantage.

7+ years of software development experience, with expertise in at least one of the following: Golang, C#
1-2 years of experience leading a team or mentoring developers in a fast-paced environment.
Strong problem-solving skills and ability to work in a dynamic startup environment.
Experience with secure coding practices and familiarity with cybersecurity concepts is a plus.
Ability to recruit, onboard, and develop engineering talent.
Excellent communication and leadership skills.
Nice to have

Experience with cloud platforms (AWS, Azure, GCP).
Knowledge of networking and cybersecurity principles.
Familiarity with DevOps and CI/CD pipelines.

BSc/MSc degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
- Over 5 years of industry working experience in hands-on development of computer vision algorithms.
- Over 5 years of industry working experience in hands-on development of neural networks / Deep Learning models.
- Extensive experience in research and development of deep learning solutions within the computer vision domain.
- Experience with various computer vision tasks with specialization in at least one of these fields: Object detection, Tracking, Semantic Segmentation, Camera Calibrations
Scene and object motion estimation, SLAM, State Estimation, Sensor Fusion, Generative models (such as GANs) and Pose estimation.
- Demonstrated expertise in data manipulation, statistical modeling and ML/DL solution implementation in production environments (using TensorFlow/Pytorch).
- Proficiency in Python programming - over 4 years of professional development.

BS/MS in Computer Science or related field.
- 5+ years of software engineering experience in an academic or industrial setting.
- Proficiency in Python.
- Proficiency in development in Linux environment.
- The ability and desire to work in the dynamic environment of an early-stage company.
- Mentored or supervised junior software engineers or has experience as a tech lead.

• 2–3 years of software development experience (Outstanding recent graduates with a GPA above 90 will also be considered)
• Proficiency in C/C++ and Python
• Experience developing software for complex SoC platforms is a strong plus
• Experience working with hardware/CPU simulators or emulators is an advantage
• Knowledge of Layer 2/Layer 3 networking protocols (e.g., Ethernet, TCP/IP) is a plus

• Strong technical capabilities
• Fast learner with a proactive attitude
• Highly motivated and self-driven
• Excellent team player with strong communication skills


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

• 2–3 years of software development experience (Outstanding recent graduates with a GPA above 90 will also be considered)
• Proficiency in C/C++ and Python
• Experience developing software for complex SoC platforms is a strong plus
• Experience working with hardware/CPU simulators or emulators is an advantage
• Knowledge of Layer 2/Layer 3 networking protocols (e.g., Ethernet, TCP/IP) is a plus

• Strong technical capabilities
• Fast learner with a proactive attitude
• Highly motivated and self-driven
• Excellent team player with strong communication skills


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

B.Sc. in Computer Science, Software Engineering, or a related field (or equivalent experience).
10+ years of experience in software development, with a focus on software system architecture.
4+ years of experience leading engineering teams and managing end-to-end project lifecycles.
Strong background in building large-scale, high-performance financial or transactional systems.
Experience with data pipelines, big data infrastructure, microservices architecture, and message bus.
Hands-on experience with Java and Python, and modern cloud technologies.
Ability to collaborate and communicate effectively across engineering, finance, risk, and product stakeholders.
Adaptability to thrive in a fast-paced, dynamic environment.
Solution-oriented mindset with a proactive approach to problem-solving.
Proficiency in written and spoken English.

7+ years of backend development experience, preferably in Python (but open to strong engineers in other languages).
Deep experience with databases (SQL or NoSQL), queues, and streaming platforms.
Experience working with complex architectures, microservices, and production-scale systems.
Proven ability to work independently and deliver high-quality solutions in fast-paced environments.
Strong understanding of software design principles and engineering best practices.
Fluent in English (working language).

5+ years of experience in frontend development.
Strong proficiency with modern JavaScript frameworks such as React, Angular, or Vue.
Deep knowledge of JavaScript, TypeScript, and CSS.
A passion for creating exceptional user experiences and a keen eye for detail.
Strong problem-solving skills and the ability to tackle complex technical challenges.
Resourceful, self-motivated, and capable of working independently in a fast-paced environment.
B.Sc. in Computer Science or equivalent practical experience.

3+ years of experience as an MLOps, ML Infrastructure, or Software Engineer in ML-driven environments, preferably with PyTorch.
Strong proficiency in Python, SQL (leveraging platforms like Snowflake and RDS), and distributed computing frameworks (e.g., Dask, Spark) for processing large-scale data in formats like Parquet.
Hands-on experience with feature stores, key-value stores like Redis, MLflow (or similar tools), Kubernetes, Docker, cloud infrastructure (AWS, specifically S3 and EC2), and orchestration tools (Airflow).
Proven ability to build and maintain scalable and version-controlled data pipelines, including real-time streaming with tools like Kafka.
Experience in designing and deploying robust ML serving infrastructures with CI/CD automation.
Familiarity with monitoring tools and practices for ML systems, including drift detection and model performance evaluation.

5+ years of work experience in product management covering all aspects of a product’s life cycle
Proven record of delivering products from ideation to implementation
Advanced analytics capabilities to drive informed decision making
Worked with business leaders to build game-changing features that directly contribute to the company’s growth
Verbal and written English proficiency.
Experience at a fast-growth startup
Engineering or computer science background - an advantage
Experience with US Credit Cards/Fintech companies/ SaaS - strong advantage

At least 2 years in a DevOps leadership position and over 5 years of hands-on DevOps experience.
Deep knowledge of AWS and infrastructure best practices.
Strong expertise in Kubernetes (EKS), Terraform, GitOps, CI/CD (GitHub Actions, ArgoCD).
Scripting skills (Python/Go/Bash) and a strong automation mindset.
Track record of improving systems proactively and reactively.
Experience leading technical teams in complex, distributed environments.
Familiarity with monitoring and observability tools (e.g., Datadog, Prometheus).
Solid understanding of security principles, cloud networking, and compliance (SOC 2).
Strong communication and leadership skills; ability to mentor, motivate, and develop others.

4+ years of experience as a Data Engineer.
4+ years of Python and SQL experience.
4+ years of direct experience with SQL (Redshift/Snowflake), data modeling, data warehousing, and building ELT/ETL pipelines (DBT & Airflow preferred).
3+ years of experience in scalable data architecture, fault-tolerant ETL, and data quality monitoring in the cloud.
Hands-on experience with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, Spark Streaming, Kafka, DBT).
Strong troubleshooting and debugging skills in large-scale systems.
Deep understanding of distributed data processing and tools such as Kafka, Spark, and Airflow.
Experience with design patterns, coding best practices, and data modeling.
Proficiency with Git and modern source control.
Basic Linux/Unix system administration skills.

10+ years of experience in Software Engineering, focusing on system architecture.

Experience with software development in Kotlin or Java.

Prior experience in a fintech company is highly desirable.

Experience with a microservices architecture

Experience with AWS.

Experience with Spring framework.

Experience with event streaming systems.

Experience in Data mesh.

Experience in payment processing or other financial services.

Python experience of 5+ years

• Experience with server-to-server communication (e.g.,REST, gRPC)

• Hands-on experience with containers and orchestration (e.g., Kubernetes)

• Experience working with Linux

• Familiarity with databases (relational and non-relational)

• Understanding of networks and knowledge of common networking protocols

• Strong skills in diagnosing and fixing issues

• Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced

environment.

• Strong teamwork and communication skills, with experience collaborating across cross-disciplinary

teams.

Preferred Qualifications

• General Linux skills, such as setting up common services (e.g., Nginx), understanding YAML files,

etc

• Experience with TSDB (e.g., Influx)

• Knowledge of cloud platforms and services (e.g., AWS, Azure).



What We Offer

• An opportunity to work on cutting-edge technologies and really make an impact on a large scale

• A collaborative and innovative work environment

• Continuous learning and professional development opportunities

Python experience of 5+ years

• Experience with server-to-server communication (e.g.,REST, gRPC)

• Hands-on experience with containers and orchestration (e.g., Kubernetes)

• Experience working with Linux

• Familiarity with databases (relational and non-relational)

• Understanding of networks and knowledge of common networking protocols

• Strong skills in diagnosing and fixing issues

• Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced

environment.

• Strong teamwork and communication skills, with experience collaborating across cross-disciplinary

teams.

Preferred Qualifications

• General Linux skills, such as setting up common services (e.g., Nginx), understanding YAML files,

etc

• Experience with TSDB (e.g., Influx)

• Knowledge of cloud platforms and services (e.g., AWS, Azure).



What We Offer

• An opportunity to work on cutting-edge technologies and really make an impact on a large scale

• A collaborative and innovative work environment

• Continuous learning and professional development opportunities