דרושים ג'ובאינפו בע"מ

Requirements:
Job Requirements:
" Proven experience with Node.js / JavaScript / ES6 (2+ years)
" Extensive knowledge of JavaScript, web stacks, libraries, and frameworks
" Exceptional analytical and problem-solving aptitude
" Superb interpersonal, communication, and collaboration skills
" Desire to work in an entrepreneurial high growth startup environment and passion for creating and innovating at a fast pace - a big advantage

Requirements:
BSc/MSc in Electrical Engineering or Computer Engineering.
At least 3 years experience in functional verification. Preferably with SystemVerilog/VMM/UVM.
Strong debugging, problem solving and analytical skills.
Team player and fast learner
Advantage for experience with design, synthesis and post-silicon validation flows.

Requirements:
o BSc in Electrical Engineering / Practical Engineering
o At least 4 years of experience as an Integration/ system Engineer
o Hands-on experience (board and component level) - Must
o Proficiency with all standard hardware lab equipment including scopes, logic and spectrum analyzers, signal generators, protocol analyzers
o Manage and guide the transition of products and manufacturing processes into production and through the products entire life cycle.
o After product release, you will continue to manage engineering responsibilities for the system, hardware, and production processes.
o Previous experience or knowledge in Product R D or New Product Introduction - Advantage
o Previous experience or knowledge in Military Products and standards - Advantage
o Strong teamwork and interpersonal skills

Requirements:
At least a BSc in Computer Science or other scientific fields
At least 3 years of experience developing in JAVA
Strong analytical and problem solving skills
Experience in Multi-threading, Client-Server and Distributed computing
Good understanding of various Design Patterns, Algorithms and data structures
Solid communication skills
Able to work independently in a fast-paced environment

Requirements:
B.Sc. / M.Sc. in Electronic Engineering.
At least 7 years of experience as an Electronics Engineer - required
Knowledge of planning multidisciplinary systems - required
Experience in developing Analog circuits (advantage for experience in developing E2E design that includes low-noise analog front end with Digital circuits, including system power management with DC/DC converters
Medical Equipment Standards preferable
Laboratory experimentation and testing required
PCB layout design

Requirements:
Must Have:

B.Sc. in Computer Science or its equivalent
3+ years experience as an Automation developer or SW engineer
3+ years experience with C #.NET and related technologies
Experience with a minimum of one TEST framework from the following: NUnit, MStest, Junit
Broad system view and proven architectural design skills
Networking experience: client/server, cloud communication, distributed systems
Experience in interfacing databases.
The ideal candidate is a team player with a proven track record of successfully leading technical projects E2E (end-to-end), who can effectively solve problems, propose solutions, and take ownership of their work.

Requirements:
3+ years of experience in ASIC Verification
-Experience in functional verification on block level
-Knowledge of building verification plan
-Good communication skills
-Fast learner
-Advantage: Specman, system Verilog, E, UVM

Requirements:
" BSc in Computer Science / Electrical Engineering
" 4-5 years of experience in software development
" 2-3 years of experience in system Engineering / Architecture
" Knowledge in networking and routing features - Advantage
" Knowledge in management protocols and data modeling - Advantage
" Knowledge in micro services and orchestration (Kubernetes, Docker) - Advantage
" Knowledge in Hardware architecture - Advantage
If your experience is close but doesnt fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences.

Requirements:
Masters or PhD in Biomedical Engineering, Computer Science, Electrical Engineering, or
a related field.
Background in Deep Learning theory, and track record of publications at conferences
such as CVPR, ICML, NIPS, ICCV, ECCV, and others
Proven track record of developing and successfully implementing deep learning models
for business applications.
Proven Statistical Analysis, Mathematical, and Problem-Solving skills.
Ability to thrive in a fast-paced, innovative environment.
Excellent communication skills with the ability to work collaboratively in a team

Deep Learning: Expertise in neural network architectures and training techniques.
Multivariate Time Series Analysis: Ability to handle and interpret complex temporal data.
data Analysis: Proficient in extracting insights from large datasets.
Computational Neuroscience: Understanding of brain-inspired algorithms and models.