Position

Work type: Engineering  |  Work experience: 3+ years  |  Location: Zug/Zürich, Switzerland

Analog engineers in Synthara typically work on inventing, architecting and designing analog sub-systems for Synthara's in-memory compute products. 

• Experience in developing low-power analog-to-digital and digital-to-analog converters 

• Collaborate with cross-functional teams, including digital designers, layout designers, and verification engineers

• Develop and implement innovative circuit architectures for high-speed, low-power converter design

• Participate in the development of new in-memory computing architectures and provide technical guidance to other team members

Profile:

You have:

• Bachelor's or Master's degree in Electrical Engineering or related field

• 5-10 years of experience in analog VLSI design, with a focus on high-performance converter design

• Extensive experience with the design of analog-to-digital and digital-to-analog converters

• Excellent problem-solving skills and attention to detail

• Strong communication and teamwork skills

• Experience in porting and developing on advanced VLSI processes, such as FinFET technologies.

It would be desirable to have some knowledge or understanding of:

• Deep Learning and Artificial Intelligence

• Understanding of in-memory computing architecture and its implications on converter design

• Development of custom digital circuits 

• Automotive grade circuit design

Position

Work type: Engineering, R&D  |  Work experience: 1+ years  |  Location: Zug/Zürich, Switzerland

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 and/or DSP acceleration

• help and supervise less experienced colleagues

Profile

Committed to making your colleagues and team successful, you're a good communicator willing to support younger team members. You're curious, solutions orientated and a problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome and then to improve it once more. 

You have:

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field

• 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

Position

Work type: Engineering, R&D  |  Work experience: 3+ years  |  Location: Zug/Zürich, Switzerland

You will be responsible for embedded SRAM design and will also work with the team to verify the designs for robustness. You have experience spanning front-end and back-end implementation. You will be in charge of

• High-performance low power embedded SRAM design with advanced technologies

• Memory compiler development, characterization and verification

Profile

• Requirements

  • BS / MS in Electrical or Computer Engineering or equivalent experience

  • Prove experience on developing caches/SRAM design

  • Good understanding of high-performance and low power circuit designs with FinFet technologies

  • Exposure to complete design cycle of SRAM memory and compiler development

• Good to have

  • Proficiency in scripting language, such as, Perl, Tcl

  • Experience in <22nm CMOS processes

• Personality

  • Independent, self-motivated, well-structured, creative

  • Good communication skills in English

Position

Work type: Engineering, R&D  |  Work experience: 3+ years |  Location: Zug/Zürich, Switzerland

As physical design engineer, you will be in charge of our physical design flows integrating custom memories, macros and RTL designs. Your responsibilites include

• creating floor plans, generating abstract views, performing RC extraction, place and route (PNR), static timing analysis (STA), and ensuring electromagnetic (EM) and IR drop integrity. 

• You will be collaborating closely with the design team and supporting in debugging tool and design related issues. 

Profile:

• Bachelor's or Master's degree in Electrical Engineering or related field

• 5-10 years of experience in physical design, including floor planning, RC extraction, PNR, STA, EM, and IR drop integrity analysis

• Proficient in industry-standard EDA tools, such as Cadence and Synopsys

• Experience with advanced VLSI nodes such as FinFETs is a plus

• Strong understanding of IC design flow and the ability to work closely with the design team

• Strong communication and teamwork skills

Position

Work type: Engineering, R&D  |  Work experience: 5+ years |  Location: Zug/Zürich, Switzerland

You will work on Compiler development for our path-breaking chip designs. 

• Develop and optimize compilers for deep learning models on custom hardware

• Work closely with the hardware team to optimize resource allocation

• Collaborate with the deep learning team to understand the performance requirements of deep learning models and their deployment on custom hardware

• Evaluate and optimize the performance of compilers through experimentation and testing

Profile:

• Bachelor's or Master's degree in SW Engineering, Computer Science, Electrical Engineering, or a related field

• Strong understanding of software development principles and experience in developing compilers for custom hardware

• Familiarity with deep learning algorithms, architectures, and frameworks, particularly in PyTorch and TensorFlow

• Understanding of computer architecture and how it relates to the design of efficient compilers

• Strong problem-solving skills

• Excellent communication skills and ability to work collaboratively in a team environment

• Strong attention to detail and performance fine-tuning

• Strong predisposition to work automation and long-term vision

Position

Work type: Engineering, R&D  |  Work experience: 1+ years |  Location: Zug/Zürich, Switzerland

Responsibility:

• work closely with our hardware team to understand how custom hardware works and how to map AI models to it

• you will use your deep mathematical understanding of software and hardware to optimize resource allocation

• developing and implementing cutting-edge deep learning models and optimizing their deployment on custom hardware

• developing compilers to deploy cutting-edge neural networks on Synthara's hardware

Profile:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field: 1+ years of experience

• Experience in developing and deploying strategies for complex optimization problems

• Strong understanding of deep learning frameworks: PyTorch and TensorFlow

Good to have:

• Experience in deploying AI/ML models on custom embedded hardware

• Experience with C++, CUDA, Vulkan, DirectX, DirectML, OpenCL or OpenCV

Personality

• Independent, self-motivated, well-structured, creative

• Good communication skills in English

Position

Work type: Engineering, R&D  |  Work experience: 1+ years |  Location: Zug/Zürich, Switzerland

Responsibility

• Interface between Synthara's customers and engineering teams

• Enable technology adoption and evaluation for customer success

• Support product team in development of new features 

• Write efficient, high-quality code suitable for demonstration for Synthara's designs for various use-cases

• Maintain and improve existing codebase and documentation

• Debug and troubleshoot issues with software and hardware

Profile

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field: 3+ years of experience

• Experience in audio programming, image processing and/or signal processing

• Familiarly and/or ability to quickly pick up concepts in signal processing techniques, machine learning, software architecture, and programming languages

Good to have

• Understanding of C programming language and experience in writing optimized code

• Experience with deep learning models and frameworks (e.g., Tensorflow, PyTorch)

• Familiarity with custom hardware architectures and hardware/software co-design

Personality

• Independent, self-motivated, well-structured, creative

• Good communication skills in English