דרושים » מדעים מדוייקים » Hardware & System Integration Engineer

Requirements:
Bachelors degree in Electrical Engineering or a related field.
5+ years of experience in system engineering or a similar role.
Strong understanding of aerospace systems and technologies.
Experienced System Engineer in electro-optics and radar
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team environment.
Strong verbal and written communication skills.

Requirements:
* Minimum of 2-3 years of Hands-on experience in complex hardware debugging across a wide range of Platforms, including enterprise servers, BMC, PCIe, IPMI, SAS/SATA/NVMe SSDs, JBODs, Ethernet cards, PDUs, UPSs, and other related components
* Bachelor’s degree in Electrical Engineering, Computer Engineering, or an equivalent field -MUST
* Experience in scripting and automation using Bash and Python- MUST!
* Experience with Linux-based environments, system-level tools, logs, kernel interfaces, drivers, and debugging workflows
* Solid understanding of electrical engineering and computer networking concepts
* Hands-on problem solver with a demonstrated “ownership” mindset, able to operate effectively both independently and within cross-functional teams.
* Experience working with large-scale complex hardware enterprise products.
* Highly organized with strong attention to detail, can prioritize and manage multiple tasks in a fast and dynamic environment
* Excellent verbal and written English communication skills
About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Requirements:
* Bachelor's degree in Electrical Engineering or a related field.
* 5+ years of experience in system engineering or a similar role.
* Strong understanding of aerospace systems and technologies.
* Experienced System Engineer in electro-optics and radar
* Excellent problem-solving skills and attention to detail.
* Ability to work collaboratively in a team environment.
* Strong verbal and written communication skills.

Requirements:
* B.Sc. in Systems Engineering, Electrical Engineering, Aerospace Engineering, Physics, or a related field.
* 8+ years of experience as a Systems Engineer in complex multidisciplinary systems with emphasis on radar and electro-optical system and multiple interconnected systems and subsystems.
* Hands-on experience in system requirements, architecture, interface definition, integration, verification and validation.
* Strong system-level thinking, with the ability to analyze cross-system dependencies and technical trade-offs.
* Strong technical documentation and communication skills, and the ability to work effectively across multidisciplinary teams.
* Proficiency in English (written and verbal). Nice to Have
* Experience in the defense or aerospace industry.
* Familiarity with systems engineering methodologies and best practices.
* Eligibility for security clearance.

Requirements:
Minimum Qualifications
Hands-on experience in optical metrology and characterization, such as interferometry, wavefront sensing, MTF/imaging quality, spectrophotometry, ellipsometry/scatterometry, diffraction-efficiency, polarization, or stray-light measurement.
Proven ability to design and build optical test setups from the ground up - sources, detectors, cameras, spectrometers, opto-mechanics, and precision alignment. Prototype- and fixture-building skills are essential.
Deep proficiency in lab automation and data analysis - instrument control and scripting (Python preferred), statistical analysis, and measurement-system analysis (e.g. Gage R&R, correlation and tolerance studies).
Solid understanding of physical and wave optics relevant to micro- and nano-optics - diffraction, polarization, and imaging. Familiarity with metasurfaces and nano-photonics is an advantage.
Experience specifying and qualifying vendor test equipment and procedures, and transferring measurement methods from engineering builds into high-volume manufacturing. Familiarity with semiconductor or MEMS components testing is an advantage.
Self-directed, collaborative, and eager to learn and grow within an experienced team.

Preferred Qualifications
B.Sc. or M.Sc. in Physics, Electro-Optics, Optical Engineering, Electrical Engineering, or a related field, with 5+ years of relevant industry experience; -or-
Ph.D. in one of the above fields with 2+ years of relevant industry experience.
Proficient verbal and written English.

Requirements:
* Bachelor's degree in Electrical Engineering or related field.
* Minimum of 5 years of experience in electro-optical systems engineering.
* Proficiency in optical design software and simulation tools.
* Strong understanding of aerospace industry standards and practices.
* Experience with system integration and testing methods.
* Excellent problem-solving and analytical skills.
* Ability to work collaboratively in a team environment.
* Effective communication skills in English.

Requirements:
What We're Looking For:
* Bachelor's degree in Engineering (any discipline) - Systems Engineering is an advantage
* Proven experience in System of Systems design, development, integration, and test equipment utilization in the fields of C4I, communication, radars, electro-optics, and intelligence sensors
* Experience with system integration and testing methods
* Strong understanding of aerospace industry standards and practices
* Excellent problem-solving and analytical skills
* Ability to prioritize and execute tasks in a high-pressure, team-oriented environment
* Strong customer service orientation
* Effective communication skills in English Nice to Have:
* Airborne systems, qualification, and certification
* C2 systems and intelligence sensors
* Communication protocols and wireless communication
* OS and network management
* Proficiency in system design / simulation software

Requirements:
Minimum Qualifications
Advanced expertise in Physical-optics simulation, including: RCWA, FEM, FDTD.
Experience with metasurfaces and nano-photonics is an advantage.
Deep proficiency in Scientific programming, scripting and data analysis.
Proficiency in Python is preferred. Experience with GenAI is an advantage.
Deep understanding of optics, physical wave optics and ray optics.
Proven skills in Multi-objective optimization and inverse design.
Familiarity with semiconductor and MEMS fabrication.
Self-directed, collaborative and eager to learn and grow within an experienced team.

Preferred Qualifications
M.Sc. or Ph.D. in Physics, Electro-Optics, Optical Engineering, Electrical Engineering, or a related field, with 4+ years of relevant experience
Proficient verbal and written English.

Requirements:
Requirements

B.Sc. with honors in CS/EE/Math/Physics, or a related field from a top-tier university.

5+ years of hands-on experience building and deploying large-scale deep learning systems in production.

Advanced proficiency in PyTorch/TensorFlow.

Preferred Qualifications :

M.Sc. or Ph.D. in a relevant quantitative field - Advantage.

Proficiency in Python/C/C++.

Deep, working knowledge of PyTorch internals.



Strong experience in several of the following areas:

Performance profiling and optimization of deep learning workloads.

Orchestrating and optimizing large-scale distributed training (hundreds to thousands of GPUs).

Optimizing model serving and inference pipelines (quantization, distillation, compilation, memory optimization, etc.).

Training and scaling state-of-the-art vision, language, or diffusion models.

Implementing custom CUDA/Triton kernels.

Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
5+ Years of experience of ML research/Deep Learning etc.
Experience with software engineering in Python (must) , C++/Rust is a plus.
Strong statistical analysis and mathematical skill.
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined.