דרושים » תוכנה » Applied scientist

Requirements:
Basic Qualifications:
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
3+ years of building models for business application experience.
Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Experience programming in Python or related language.
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Preferred Qualifications:
Experience with genAI and agents.
Experience in shipping AI products.

Requirements:
What we need to see:
Pursuing a PhD in computer science, computer engineering, or a closely related field.
Background in parallel programming models, and/or network architecture.
Background in algorithm design, system programming, and computer architecture.
Strong programming and software development skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:
Deep understanding of technology and passionate about what you do.
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
Previous experience in designing communication middleware for high-performance computing systems, including InfiniBand, DPUs, Ethernet, NVLINK and Shared Memory;
Experience in implementing communications libraries, particularly MPI, OpenSHMEM, or NCCL;
Previous experience in programming models for emerging architectures including hierarchical heterogeneous memory systems and accelerators;

Requirements:
* B.Sc. in Computer Science / Electrical Engineering / Computer Engineering.
* At least 3 years of development experience in a development team of complex enterprise systems.
* At least 2 years of experience in C / C ++ programming.
* Experience in multi-threading principles and programming.
* Experience in Python, JAVA, Linux, and Git.
* Great team player who knows when and how to push independently when needed.
* Strong communication skills.
Advantages:
* Experience in native mobile application development in Android or IOS.
* Experience Objective- C programming.
* Experience in NDK and JNI for Android.
* Experience with SDK development or integration. Advantages.
* Experience in reverse engineering for Android.
* Knowledge in Cyber security and Networking.
About the company:
Our mission is to protect every mobile app in the world 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 us 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.
We are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
What we need to see:

BS or MS degree in Computer Engineering, Computer Science, or a related field.

A minimum of 5+ years of software development experience with a strong emphasis on Linux, containers, and virtualization.

Strong and validated experience in C programming.

Strong technical abilities, problem-solving, design, coding, and debugging skills.

Ability to quickly understand new requirements and technologies and swiftly prototype and implement solutions.

Excellent communication skills.

Ways to stand out from the crowd:

Background in Linux kernel networking internals.

Participation in the open-source community.

Python and C++ programming skills.

Requirements:
Requirements:
Bachelors degree in Electrical, Computer, or Software Engineering, or Computer Science.
Minimum 8 years of experience in system validation, verification, or integration across firmware and embedded software, including machine learning algorithm validation.
Demonstrated leadership in defining validation processes, methodologies, and quality standards.
Proficiency in Python and Bash scripting for automation and test development.
Experience with CI/CD pipelines, Git workflows, Docker, and cloud environments (AWS advantage).
Strong analytical and debugging skills with the ability to drive system-level quality improvements.
Excellent communication skills with the ability to influence, coach, and align cross-functional teams.

Preferred Qualifications:
Experience with validation environments such as FPGA, emulation, RTL simulation, or post-silicon bring-up.
Background in embedded firmware practices (C/C++) and build systems (GNU Make, CMake).
Proven success in defect prevention initiatives and continuous improvement programs.
Familiarity with automotive standards (ISO 26262, ASIL-B, MISRA-C).
Hands-on experience with semiconductor test equipment (Advantest, Teradyne, or equivalent ATE platforms), including test program development, debug, and validation workflows.

Requirements:
What we need to see:

BSc, MS, or PhD in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience.

10+ years of proven experience.

Background with embedded systems and programming low-level firmware, as well as being familiar with Security-by-design hardware and principles of privileges.

Experience in the compartmentalization of software with security standards to isolate critical assets.

Programming and debugging fundamentals across languages such as Python, ARM assembly, and C/C++.

The ideal candidate will enjoy working in a diverse team, with excellent communication skills and a genuine passion for teamwork.

Solid programming skills and a deep understanding of secure system building.

Ways to stand out from the crowd:

Background in networking (TCP/IP), network security (TLS/IPSec), and packet processing technologies.

Proven track record of leading features across teams.

Expertise with Linux security primitives and microkernels architecture.

Requirements:
Basic Qualifications:
- Bachelor's degree in computer science or electrical engineering.
- 4+ years of experience with hands-on C and C++ programming.
- 4+ years of experience in networking protocols, mainly RDMA/Ethernet.
- 4+ years of experience with performance optimizations.

Preferred Qualifications:
- 4+ years of embedded firmware development experience.
- Experience with SoC development life cycle.
- Experience with virtualization technologies.

Requirements:
What we need to see:
MSc/PhD in Computer Science, Electrical Engineering, or a closely related field.
At least 3 years of proven experience in deep learning research or applied research.
At least one publication in a top-tier AI/ML conference (e.g., NeurIPS, ICLR, ICML).
Deep understanding of LLM architectures coupled with hands-on experience in training large-scale models.
Excellent programming skills, particularly in Python and deep learning frameworks like PyTorch, and experience with software engineering best practices.
A strong problem-solving mentality and a proactive demeanor, driven by the ambition to deliver solutions with real-world impact.

Ways to stand out from the crowd:
Hands-on research experience in LLM inference optimization algorithms such as speculative decoding or parallelization strategies.
Proven experience with High-Performance Computing (HPC) environments, including training or running inference on large-scale GPU clusters (tens to hundreds of GPUs).
Deep familiarity and experience with popular LLM inference systems (e.g., vLLM, TensorRT-LLM).
Experience from a world-class industrial research group or a top-tier institution.

Requirements:
Requirements:
BA or B.Sc in Computer Science or an equivalent field.
5+ years of hands-on experience in SW development.
Strong proficiency in at least one backend programming language (Java, Python).
Strong understanding of object-oriented programming, design patterns, and clean code principles.
Familiarity with database systems (SQL/NoSQL) and query optimization techniques.
Proven experience of cloud platforms (AWS, Azure, GCP) and microservices architecture.
Strong understanding of REST API.
Excellent problem-solving skills and a proactive attitude.
Strong communication skills and the ability to collaborate in a team environment.

Advantages:
Experience with Spring Boot and the Spring Framework ecosystem
Experienced with JPA (Hibernate advantage)
Experience with streaming or messaging services (Kafka, RabbitMQ)
Knowledge of monitoring tools such as Grafana, Prometheus, or ELK Stack
Hands-on experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with big data technologies like Apache Flink or Spark
Experience in performance optimization and distributed systems