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Requirements:
10+ years of working experience as lead System Engineer. Background in printing industry is a significant Advantage.
BSc. in Electrical/Mechanical Engineering. MSc. Is an advantage.
Proven experience in system requirements specification and design document preparation.
Acquainted with product full life cycle.
Knowledge in electrical subsystem design -is an advantage.
Project management capabilities - Ability to lead tasks, prioritizing actions, time management.
Team player with high motivation and good personal skills.

Requirements:
BSc degree in Mechanical Engineering mandatory; MSc in Mechanical or Systems Engineering an advantage.
Minimum 2 years of proven experience in mechanical design or R&D environment.
Minimum 5 years of proven experience in mechanical or production engineering.
Strong English communication skills (written and verbal).
Ability to develop and maintain effective working relationships across multiple levels.
Proven experience in multidisciplinary environments.
Experience with manufacturing technologies such as plastic molding, Sheet metal, extrusion, casting an advantage.
Experience leading DFX processes.
Proficiency in CAD software SolidWorks preferred.
Hands-on experience with mechanical drawings and Geometric Dimensioning and Tolerancing (GD&T) is essential.
Experience with PDM/PLM tools Agile preferred.
Strong problem-solving skills in multidisciplinary product environments.
Self-motivated and proactive with the ability to take initiative.
Ability to work under pressure and adapt to changes.
Excellent multi-tasking and organizational skills.

Requirements:
Required Qualifications:
3+ years of experience in large-scale product development and maintenance of production systems.
professional experience developing in C or C++

Other Requirements:
Ability to meet us, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
Our Cloud Background Check: This position will be required to pass the Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
Bachelor's Degree in Computer Science.
OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,
OR Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years experience with operating systems internals
Familiarity with scrum tracking tools such as JIRA or Azure DevOps.
Understanding TCP/IP and other networking concepts.
Experience in one or more of the following: Linux and Windows networking stacks and other OS components; Reliable, high availability software development; Host network offloads; RDMA, SR-IOV; Virtualization (hypervisors, virtual machine switching); TCP/IP; Switching and routing protocols; Network hardware - NICs, switches, routers; Load balancing; Network virtualization (NVGRE, VXLAN); QoS and scheduling; Networking at scale, deployment and servicing at scale; Cloud networking architectures; Performance optimization of low-level code.

Requirements:
Advanced degree (M.Sc. or Ph.D.) in Electrical Engineering, Physics, Applied Mathematics, Computer Science, or a related quantitative discipline.
5+ years of hands-on experience in developing and deploying machine learning, signal processing, or algorithmic solutions, with emphasis on raw or low-level data (e.g., sensor data, audio, video streams, or medical imaging).
Proven expertise in time-series analysis and handling large-scale, complex datasets from acquisition to production deployment.
Strong Python programming skills, with the ability to write clean, modular, and testable production-grade code.
Demonstrated experience deploying ML/DSP pipelines into production environments, ideally in high-availability systems.
Familiarity with ML/DL frameworks such as PyTorch, TensorFlow, scikit-learn, and gradient-boosting libraries (e.g., XGBoost, LightGBM).
Strong collaboration and communication skills, with the ability to work effectively across interdisciplinary teams including software engineers, physicists, and external stakeholders.

Requirements:
Qualifications:
B.Sc. or M.Sc. in Computer Science, Software and Computer Engineering, or equivalent.
You have working experience in Java (or equivalent).
Excellent teammate skills, effectiveness both in independent and collaborative work.
Ability to learn and use new technologies.
Ability to understand complex distributed systems and to know your way around them.

Preffered Qualifications:
Background in data security and cloud-based applications. 
Experience with databases (MongoDB, Cosmos DB, Redis, Azure Data Explorer preferred).
Experience with distributed computing platforms for high-scale systems and massive amounts of data (Kubernetes preferred).
Experience with continuous integration and deployment tools (ADO preferred).

Requirements:
Advanced degree (M.Sc. or higher) in a relevant field (Computer Science, EE, Physics, etc.).
5+ years of experience in the industry.
Experience with DL, ML, and numerical libraries like: PyTorch, Tensorflow, NumPy, Pandas.
Solid Python programming skills.
Proven track record in solving novel DL challenges.
Algorithmic and Deep learning design skills.
Ability to learn and adapt quickly.
Strong Data analysis and presentation skills.
Excellent communication and teamwork skills.