Synthara is breaking ground with a new breed of brain-inspired AI chips for edge computation that eliminates the compromise between speed and energy efficiency. Our designs are unconventional and we push the boundaries of computation. The task is not easy, but it is immensely satisfying. To meet this challenge, we are building a cross-disciplinary team of inspired electrical and computer engineers. Please send your CV and a cover letter for the following positions at [email protected] You will be in charge of the development, maintenance, and verification of multiple designs. In this role, you will: be in charge of the design of one or more digital hardware modules take responsibility for the verification of one or more modules investigate new technologies and techniques for AI acceleration help and supervise less experienced colleagues Our expectation for junior engineers is to quickly become a reference point for younger colleagues, preparing themselves for a senior engineer position. You have: knowledge of digital circuit design techniques and methodologies knowledge of SystemVerilog, Verilog or VHDL Experience of FPGA/ASIC design or verification You might also have some knowledge or understanding of: Deep Learning and Artificial Intelligence UVM (or similar digital verification methodology) Low power design techniques and power-aware verification Object-Oriented Programming (OOP) Python More details at Synthara.ai/apply

Synthara is breaking ground with a new breed of brain-inspired AI chips for edge computation that eliminates the compromise between speed and energy efficiency. Our designs are unconventional and we push the boundaries of computation. The task is not easy, but it is immensely satisfying. To meet this challenge, we are building a cross-disciplinary team of inspired electrical and computer engineers. Our technologies exploit innovative mixed-signal-processing and analog computational techniques to achieve dramatic improvements in processing AI models. In this role, you will Work on new mixed-signal processing technologies Coordinate with the system’s architect to ensure functional fit. System modelling for performance and energy-estimation Develop FPGA emulators for modeling our mixed-signal units Profile You must have: MS + 3 years or PhD with emphasis on Mixed-Signal processing. A good understanding of signal processing and the ability to apply these ideas in unconventional settings. The motivation to understand AI/ML and apply this understanding to develop new solutions. Experience in design and modelling of mixed-signal circuits such as filters, sigma-delta circuits, etc. You may also already have developed or are willing to develop an understanding of noise and mismatch issues in analog AI accelerators. analog/mixed-signal designs at advanced technology nodes. ability to write HDL code for FPGAs and code in Python. Strong knowledge of deep learning and artificial intelligence. Layout design of large memory arrays and analog AI accelerators.