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Requirements:
M.Sc. (or higher) in Photonics, Electrical Engineering, Physics, Optoelectronics, or related. Hands-on with active optoelectronic devices is required: design + simulation and measurement/characterization. Solid grasp of photonic/device physics (e.g., carrier-depletion/thermal phase shifters, PN/PIN modulators, Ge or III-V PDs). Proficiency with FDTD/EME/mode solvers and circuit-level simulators; ability to build/fit compact models. Strong analytical/problem-solving skills; comfort with data analysis in Python /Matlab and version control (git). Clear communication; effective teamwork. Preferred Skills Experience with SiPh PDKs, gdsfactory/KLayout, and DRM/DRC flows. Circuit-/ system -level simulation (e.g., INTERCONNECT/Caphe) and CML/compact- model extraction. Practical lab experience: high-speed EO/IV/OP measurements, fixture de-embed, TDR/TDT/S-parameters.

Requirements:
* B.Sc. in Electronics, Computer Science, or a related field – Must
* Minimum 2 years of experience in manual software testing for embedded systems – Must
* Experience in reading and understanding system and software specifications – Must
* Familiarity with software testing tools (e.g., TFS) and Agile methodologies – Advantage
* Basic to good knowledge of Python, Linux, GIS, or photogrammetry – Advantage

Requirements:
* Certified Practical Engineer (CPE) or Technician in Electronics – Must
* At least 2 years of experience in a similar role – Must
* Experience working with electronic schematics – Must
* Background in board-level testing, design verification, or integrated engineering processes – Must
* Hands-on experience assembling/disassembling delicate electronic and mechanical assemblies – Must
* Experience working with both development and production teams
* Familiarity with Windows/Linux environments and communication protocols – Advantage
* Experience with multidisciplinary systems (hardware, software, mechanics, and communication) – Advantage

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Requirements:
4+ years of professional software development experience (The years are depending on the required seniority level).
Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language (Java, Javascript, C++, C#, Ruby, Python).
Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax.
Proven experience in Database technologies such as SQL, PL/SQL, and relational database schema design.
Experience in automated testing including unit and functional testing using Java, JUnit, JUnit, and Selenium.
Excellent interpersonal skills.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Requirements:
4+ years of hands-on experience in C++ development.

Proven track record of leading or contributing significantly to the development of complex software systems.

Strong problem-solving skills and the ability to optimize code for performance.

Demonstrated experience with AWS cloud services.

Strong ownership and great attention to detail.

Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Requirements:
All About You:
As an experienced .NET developer, you will be responsible for designing and maintaining efficient and scalable server-side components using C#.
Experience in relational databases (e.g. SqlServer), including complex.
Proven experience as a Backend Software Engineer.
Experience and knowledge in various types of products, architectures and deployment environments.
Experience building complex and large scale Web\SaaS (AWS) solution to operational - a plus.
Experience developing and delivering in Microsoft Tech-Stack environments
queries and performance optimizations - NoSQL databases is plus (e.g. MongoDB).
Analytical mind with problem-solving, persistent and creative aptitude.
Ability to work independently and react quickly.
Excellent organizational and leadership skills.
Bachelor's degree in Computer Science or equivalent experience.

Ideal Candidate Qualifications:
Minimum 6 years of work experience in the job role
Experience in .NET, C#, SQL Server development
Development experience in various products and complex systems
Detail oriented with ability to communicate across various organization levels
Strong problem solving skills with ability to describe logic and approach and coach team members in overcoming development obstacles
Positive, growth mindset and desire to lead from the front
Worked on one or more Cloud Platforms: AWS, Azure, and other cloud platforms
Experience writing unit tests - TDD major advantage
Knowledge of various operating systems: Linux\Unix, Windows, Mac, Mobile devices

Requirements:
4+ years of hands-on experience in DevOps Concepts and Cloud Architecture.

4+ years of experience with AWS (mandatory to know concepts around s3, sqs, dynamodb, iam and kms) or other similar concepts around different cloud service providers e.g., GCP and Azure (Optional)

4+ Experience deploying and managing CI/CD pipelines. E.g., Jenkins and/or Spinnaker

Advanced programming experience with at least two modern languages such as GoLang, Java, C++, Or Python including object-oriented design.

Proven understanding of micro-services-oriented architecture and extensible REST and gRPC APIs. Experience building the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Knowledge and experience to ensure Kubernetes cluster management including workloads in deployments and statefulsets remains reliable, available, secured and meet performance expectations

Experience with Kubernetes packaging technologies such as HELM and experience in administrating Kubernetes config maps, services, deployments, and stateful sets.

Experience with monitoring production and staging of test and development environments for a number of applications in a dynamic organization.

Good command of the version control tools including but not limited to GIT.

Strong expertise in troubleshooting complex production issues. Excellent problem-solving, critical thinking, and communication skills.

Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Requirements:
Proven expertise in both classical optimization and machine learning, with a significant track record of blending solvers and models to solve complex industrial problems.

Deep experience and theoretical knowledge in one or more of the following areas: large-scale forecasting, reinforcement learning, or data-driven decision systems.

Hands-on proficiency in modern ML frameworks like PyTorch or TensorFlow and a strong proficiency of the data science ecosystem (e.g., Scikit-learn[sklearn]). Deep familiarity with modeling and forecasting time-series data is essential (e.g., ARIMA, Prophet, LSTMs).

Strong understanding of probabilistic modeling, statistical evaluation, and the use of simulation-based testing to rigorously validate complex models and decision systems in an offline environment.

Demonstrated experience architecting and deploying production ML systems. You can design robust, end-to-end pipelinesfrom data ingestion to model servingand have experience with core MLOps tooling (e.g., MLflow, Airflow, Docker/Kubernetes).

Ability to provide strong technical leadership and mentorship to a team of engineers, setting a high standard for technical excellence, innovation, and sound engineering practices.

Requirements:
4+ years of professional software development experience, with proficiency in languages such as Python/C#/Java.

Experience in the end-to-end ML lifecycle, including model training, deployment, inferencing, and addressing the challenges of scaling AI products.

Proficiency in safe AI/ML rollout methodologies, including canarying and A/B testing.

Proven ability to design and architect complex, high-performance systems that support AI workloads.

Demonstrated experience with cloud services (e.g., AWS, GCP, Azure).

Hands-on experience with common ML frameworks like PyTorch or TensorFlow, as well as libraries like scikit-learn and time-series models (e.g., Prophet, ARIMA, LSTM).

Strong problem-solving skills and the ability to write and optimize high-performance code.

Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Requirements:
4+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Strong SQL skills and experience and experience with relational and non-relational databases e.g. (Postgress/Trino/redshift/Mongo).
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases.
A deeper understanding of software development best practices and demonstrate leadership skills.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Requirements:
5+ Years of Experience: Demonstrated experience as a DevOps professional, with a strong focus on big data environments, or Data Engineer with strong DevOps skills.
Data Components Management: Experiences managing and designing data infrastructure, such as Snowflake, PostgreSQL, Kafka, Aerospike, and Object Store.
DevOps Expertise: Proven experience creating, establishing, and managing big data tools, including automation tasks. Extensive knowledge of DevOps concepts and tools, including Docker, Kubernetes, Terraform, ArgoCD, Linux OS, Networking, Load Balancing, Nginx, etc.
Programming Skills: Proficiency in programming languages such as Python and Object-Oriented Programming (OOP), emphasizing big data processing (like PySpark). Experience with scripting languages like Bash and Shell for automation tasks.
Cloud Platforms: Hands-on experience with major cloud providers such as Azure, Google Cloud, or AWS.

Requirements:
2+ years of experience as SRE /DevOps engineer - Must
2+ years of experience with cloud environments such as Azure, GCP or AWS - Must
Programming Skills: Proficiency in programming languages such as Python etc. - Must
Kubernetes: Proven experience working with Kubernetes in production environments.
Linux distributions familiarity: Ubuntu / CentOS
Networking & Security: Solid understanding of computer networking fundamentals and cloud security principles
CDN and DNS systems AWS CloudFront / Azure Front door
Deep Understanding of web servers (Nginx preferred)
Experience with logging monitoring services (such as Prometheus, Grafana,Datadog and Coralogix).
Experience working with Infrastructure as Code (IaC) tools (Terraform preferred).

Requirements:
5+ years experience as a DevOps Engineer - Must.
3+ years experience in software and scripts development (preferably in Python/Go) - Must.
Experience working with any of the major cloud providers: Azure, AWS, Google Cloud.
Experience with designing and implementing production-grade Kubernetes clusters.
Experience with CI/CD tools and methodologies such as Jenkins/ArgoCD/CircleCI.
Excellent knowledge and experience with monitoring and logging stacks such as Prometheus/DataDog/ELK.
Experience with Infrastructure as code tools such as Terraform/Pulumi.
Proven skillset in Linux OS, Docker, Networking, Load Balancing, Nginx, etc.
Experience with designing and implementing Service Mesh solutions such as Istio/Linkerd/Consul.
A genuine passion for technology, working in a team, and be willing to look for opportunities to automate, improve and move forward.
Good communication skills, strong attention to detail and have the ability to work independently under pressure.