דרושים » תוכנה » Hardware Engineering Student

Requirements:
Basic Qualifications
- BSc student of Electrical Engineering / Computer Engineering (with up to 3 semesters remaining before graduation).
- Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application.
- Available to work 2-3 days per week.

Preferred Qualifications
- Familiar with chip design processes and debug techniques.
- Familiar with data mining and analyses techniques.
- Experience with C or C++ programing.

Requirements:
Basic Qualifications
- Must be a student for technical degree (CS, EE, etc) with at least 4 semesters remaining and available for 3 work days per week. Ability to support needs in both Haifa and Tel Aviv.
- Familiarity with protocols such as TCP/IP, DNS, DHCP, TFTP, HTTP, SSH; additional familiarity with PC and servers HW.
- Capable of independently lifting and handling servers when required.

Preferred Qualifications
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization.
- Prior experience with Network and Linux systems (CentOS, Red Hat, Ubuntu) for 1-3 years is an advantage.
- Experience with PXE is a Plus.
- Knowledge in Virtual systems such as Proxmox, VMware is a Plus Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Requirements:
Basic Qualifications
- BSc student of Computer Science / Computer Engineering / SW Engineering / Electrical Engineering (with at least 2 semesters left before graduation).
- Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application.
- Available for 2 to 3 work days per week.

Preferred Qualifications
- Experience in C.
- Understanding of networking protocols.
- Team player, excellent at multitasking and self-learning.

Requirements:
BSc student of Computer Science / Computer Engineering / SW Engineering / Electrical Engineering /industrial Engineering (with at least 2 semesters left before graduation).
Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application.
Available for 2 to 3 work days per week.

Basic Qualifications
- Bachelor's degree or equivalent.

Preferred Qualifications
- Bachelor's degree in computer science or equivalent.

Requirements:
Requirements
B.Sc. or M.Sc. student in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
Basic understanding of computer hardware, with an interest in AI hardware/accelerators.
Good understanding of AI and machine learning concepts from an algorithmic perspective.
Strong Python programming skills - mandatory.

Skills
Excellent analytical and problem-solving skills.
Self-motivated, curious, and eager to take on technical challenges.
Ability to work independently and learn quickly in a fast-paced environment.
Availability to work on-site in Haifa - mandatory.

Nice to Have
Familiarity with AI accelerators, computer architecture, machine learning, or deep learning.
Relevant academic, personal, or Bootcamp projects in AI, hardware, or software development.

Requirements:
BSc student in Computer Science / Software Engineering / Information Systems Engineering or any other relevant degree - a must.
At least one year until graduation.
Availability for at least two working days a week - from the office.
Hands-on experience as a data analyst (military experience considered as well).
Solid experience in scripting languages (Python, JavaScript, or similar), with data analysis tools (Pandas, NumPy, or similar) - a must.
Experience in querying and analyzing large, complex data sets (SQL, ElasticSearch, Athena, or similar) - a must.
Striking analytical skills with the ability to identify, analyze, and interpret trends or patterns in complex data sets with great attention to detail.
Team player, with effective interpersonal skills, initiative, and good vibes. Ability to communicate with both business and technical counterparts, and with executive skills.
Experience in the fields of Automotive, Cybersecurity, Data Observability, and IoT infrastructure - an advantage.
Experience with network and messaging protocols such as HTTP, OCPP, MQTT, and CoAP - an advantage.

Requirements:
Basic Qualifications
- BSc student of Electrical Engineering or related field, with at least 4 semesters (2 years) left before graduation. **Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application.
- Basic knowledge of Linux-based operating systems.

Preferred Qualifications
- Scripting: writing ability is advantage, required languages: Bash, Python.
- Basic knowledge of Server/ PC HW architecture/

Requirements:
Who you are: 

Top Computer Sciences/ Software Engineering/ Computer Engineering undergraduate student, with a GPA of 85 or higher and at least two years of studies remaining. 

Availability to work ~3 days a week (~60%) - Hybrid work 

Have a good understanding of OOP through C++.

Familiarity with fundamental data structures, algorithms, and operating-system concepts.

Self-learner, able to accumulate system vision from training, documentation, and self-exploration. 

Excellent English- written and verbal. 

Team player, yet with the ability to work independently. 

Advantage -experience with the following: 

Hands-on experience with C++.

Understanding of multithreading, synchronization, and concurrency.

Familiarity with Linux development environments.

Knowledge of networking, storage, or distributed systems.

Requirements:
Minimum Qualifications
The ideal candidate will have experience with setting up and performing optical measurements in the laboratory.
Proficient in one or more computer languages (e.g. Matlab, Python, etc.), with emphasis on test & measurement automation and motion control.
Experienced in analysis of experimental data, and communicating results in a clear and concise manner.
A reliable standout colleague that can be counted on to produce high quality results on time.
Working knowledge of optics & laser concepts.
Creative & analytical, good at critical thinking and problem-solving.
Advantage: Knowledge of Meta-materials and Meta-surfaces.
Advantage: Knowledge of MEMS/semiconductor fabrication processes.

Preferred Qualifications
M.Sc./PhD student in Electro-Optics, Physics, or Electrical Engineering.
Proficient verbal and written English language skills.

Please add your Grades sheet when applying.