Syntiant is a leader in edge-AI deployments, bringing deep-learning capabilities to a wide range of devices through its industry-leading Neural Decision Processors and hardware-agnostic machine learning models. Previously, running machine learning on always-on, battery-powered edge devices was infeasible, with AI largely confined to power-hungry cloud servers and GPUs. Syntiant's founders addressed this by developing custom silicon that offers superior performance while adhering to size, power, and cost constraints. Their efficient models, deployable on various processors from GPUs to MCUs, bring powerful AI capabilities to edge devices, enabling real-time data processing and decision-making with minimal latency and power consumption. This technology allows devices to be equipped with deep learning capabilities, enhancing user experience across applications like smart home devices, automotive systems, personal devices, government solutions, and industrial equipment. Syntiant has shipped tens of millions of its ultra-low-power Neural Decision Processors and deep learning algorithms globally, impacting devices from hearing aids to automobiles.
Syntiant is a leader in edge-AI deployments, bringing deep-learning capabilities to a wide range of devices through its industry-leading Neural Decision Processors and hardware-agnostic machine learning models. Previously, running machine learning on always-on, battery-powered edge devices was infeasible, with AI largely confined to power-hungry cloud servers and GPUs. Syntiant's founders addressed this by developing custom silicon that offers superior performance while adhering to size, power, and cost constraints. Their efficient models, deployable on various processors from GPUs to MCUs, bring powerful AI capabilities to edge devices, enabling real-time data processing and decision-making with minimal latency and power consumption. This technology allows devices to be equipped with deep learning capabilities, enhancing user experience across applications like smart home devices, automotive systems, personal devices, government solutions, and industrial equipment. Syntiant has shipped tens of millions of its ultra-low-power Neural Decision Processors and deep learning algorithms globally, impacting devices from hearing aids to automobiles.
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, has entered into an agreement to acquire a large, multi-national sensor business with global revenues in excess of $250 million per year, and is looking for an experienced and talented Infrastructure and EDA Engineer.
The Engineer will be responsible for developing and maintaining EDA tools and flows for Syntiant’s ASIC teams as well as managing and upgrading the compute infrastructure.
Specific Duties and Responsibilities:
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Managing Syntiant’s IT Infrastructure and related services.
Installing, configuring, maintaining, performing upgrades and downgrades, troubleshooting, documenting infrastructure components (Windows OS, Linux OS, Storage, Backups, etc.) for both on-premises and cloud computing.
Evaluate performance, monitor workloads, and analyze results to ensure optimal operations.
Supporting EDA (Electronic Design Automation) environment (Cadence, Synopsys, Mentor Graphics, Pads etc.) Example: license server management and monitoring, engineering database management and mirroring, user and project environment creation and management, setup tool flows for tools from multiple vendors, IP repository management.
Manage on-premises as well as cloud platform for EDA tool usage and IP repository
Support internal and external EDA users
Develop a collaborative EDA ecosystem across the company that covers not only licenses but sharing of tool expertise and experiences.
Develop, Maintain and Migrate IP repositories and Version Control Systems.
Develop and improve upon operational procedures and standards.
Qualifications, Education, and Experience Required:
Advanced degree in electrical engineering or computer engineering
5+ years of experience with a variety of EDA flows from a variety of vendors. Experience spanning analog and digital design and IP development, usage, and maintenance.
Experience using and developing flows for tools from Ansys, Cadence, Keysight, Siemens, and Synopsys tools (not all five required but experience across vendors desired)
Experience with deployment and use of EDA tools on on-premises compute as well as commercial cloud platforms
Experience with IP module maintenance and usage
Experience with Repository and Version Control Systems (Example, Git)
Linux administration skills and Datacenter Management
Working knowledge of virtualization stack, backup, restore and DR technologies
Experience with management and support of users’ needs in a semiconductor company environment
Inter-personal and communication skills: Capable of writing proposals or papers, acting as a supplier liaison, making presentations to customers, clients, and professional peers
About Syntiant:
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting.
One element in our total compensation package is base pay, annual incentive program and eligibility to participate in our equity program. Individual compensation decisions are based on several factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.
