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We are looking for a dynamic We are looking for a talented Algorithm & System Engineer with hands-on experience in developing and optimizing wireless communication algorithms for technologies such as Bluetooth Low Energy (BLE), Wi-Fi, and other wireless standards. This role requires strong system-level thinking, including defining technical requirements, working with cross-functional teams, and ensuring seamless integration of wireless solutions into broader system architectures.

Responsibilities
Develop and optimize wireless communication algorithms, focusing on RF/PHY layer aspects such as modulation, synchronization, and interference mitigation.
Define and refine system-level requirements based on performance, power, and integration considerations.
Collaborate with hardware, firmware, and software teams to ensure seamless integration of wireless algorithms into the overall system.
Conduct system-level performance analysis, modeling, and simulations to validate algorithm efficiency and effectiveness.
Utilize Python, MATLAB, and C/C++ for algorithm development, validation, and system modeling.
Troubleshoot and resolve wireless system challenges, including interference, coexistence, and signal integrity issues.
Stay updated with emerging wireless technologies and contribute to the evolution of next-generation wireless communication systems.
Experience in machine learning algorithms.

Required Senior Design Engineer
Description
Are you an experienced VLSI design engineer with high passionate about VLSI cutting edge projects? Then, you belong with us!
We are looking for you to join our growing VLSI team.
Here, we are developing state of the art DSP ASIC projects in AI, Vision, Wireless and Base-stations area.
The VLSI team is responsible for the planning and the implementation of DSP cores and accelerators which are a part of many future products.
As part of this position you will work on a full design flow from architecture definition, through micro ARCH, Verilog writing and verification process up to timing closure and STA.

The System Operator is responsible for operating and maintaining Digital Casting production systems in an R&D environment, working in an industrial setting under the supervision of a process engineer. The role involves working in 3 shifts: morning, evening, and night.

Responsibilities:
Machine Setup: Assemble tools and load raw materials into machines, preparing them for operation.
Calibration: Perform required calibrations to ensure proper machine functioning.
Process Monitoring: Check and input process parameters and other production data.
Equipment Operation: Operate equipment for material handling and the computerized process.
System Performance Monitoring: Monitor and report on operational equipment, ensuring optimal system performance.
Data Recording: Record process-related data in an organized manner for accurate tracking.
Quality Inspections: Perform visual inspections of quality and quantity, making adjustments to resolve issues under supervision.
System Cleanup: Disassemble cast parts and clean the system after processing at the end of each shift.
Safety Compliance: Adhere to all safety requirements and properly use personal protective equipment (PPE).
Inventory Management: Maintain and manage inventory of materials and tools.

We are looking for a System Engineer Expert to drive the system vision, architecture and design requirements of multi-disciplinary state of the art 3D imaging medical systems.
The System Engineer is required to understand the user needs, product constraints and be responsible for defining the architecture and system requirements for the medical device. The work process is focused on balancing implementation complexity, clinical constraints , risks, manufacturability, serviceability and quality to conclude the optimum design alternatives. He is required to work closely with the product managers, customers, QA/RA and design teams from needs translation to requirements and architecture to allow development plans up to design transfer to production.
Key Responsibilities
Master multi-disciplinary system including Electronics, Mechanics, Algorithms, Software (embedded and application),Physics and optics, lead and develop the architecture and requirements of such systems.
Analyze design alternatives for all the system features , such as design complexity, timelines and risks, technical and clinical performance, manufacturability, cost, etc., and lead the technical decision making while collaborating with cross-functional peers within and outside R&D.
Work with program managers to create and manage project schedules.
Design and lead lab experiments and integrations, analyze and solve problems of real complex systems in lab, in production, or in the field.

We are looking for talented physical design implementation engineers to join our excellent Physical Design team, which develops Amazons next generation of products for the cloud market.
Key job responsibilities
* Daily involvement in all aspects of physical design chip development (RTL2GDS), including floorplanning, synthesis, clock tree synthesis, place and route, static timing analysis, power and noise analysis, physical verification testing, and equivalence checks.
* Being actively engaged in design-backend convergence aspects and defining timing constraints.
* Taking full end-to-end responsibility for the physical design of macros and clusters level, according to specifications, under challenging constraints, with focus on optimizing power, area, and performance.
* Participation in the development of design flows, using a variety of EDA tools and vendors such as Synopsis and Cadence.
* Engaged in defining implementation and signoff methodologies.

- Lead product integration from definition phase through mass production, including: Hardware-Firmware integration and validation, development and implementation of manufacturing test flows, system validation and qualification and production readiness verification.
- Define and implement screening test content for both production line and data-center environments.
- Drive continuous improvement of operational health monitoring and debugging capabilities.
- Collaborate with cross-functional teams to resolve integration and production issues.
- Implement test flows for improving product operational health at manufacturing sites.
- Integrate knowledge and data from customers and data sources for fast resolution of operational issues.
- Maintain quality documentation and collateral in order to improve manufacturing operations.
- Travel to manufacturing sites as needed (approximately 3-4 times per year, 1 week duration per trip) to support integration, validation, and operational improvements.