Sr. ASIC EDA Workflow Engineer at Recogni

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, SemiconductorsIndustries

Requirements

10+ years of expert-level knowledge of Linux system administration and familiarity with cloud-based DevOps (IaC, CaC, etc.), with experience in supporting EDA tools in a primarily cloud-based environment (as opposed to primarily on-premises)
Multi-disciplinary engineering/DevOps background
Keen interest in generative AI
Passion for designing, debugging, optimizing, and finding creative EDA solutions to complex technical challenges

Responsibilities

Lead EDA tools, DevOps systems, and associated engineering workflow development
Guide and assist colleagues in improving and inventing EDA workflows and DevOps systems
Drive the optimization, implementation, and exploration of new EDA tools and technologies
Contribute to the innovation and improvement of scalable, reliable, high-performance systems and tools
Work closely with the ASIC team to understand and improve their workflows and EDA needs

Skills

Key technologies and capabilities for this role

ASICEDADevOpsCadenceHPCChip DesignWorkflow Optimization

Questions & Answers

Common questions about this position

What is the work location or remote policy for this role?

The position is hybrid in San Jose, CA and Munich, Germany, with remote options available. The company also has many talented team members working remotely.

What is the salary for this Sr. ASIC EDA Workflow Engineer position?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 10+ years of expert-level knowledge of Linux system administration and familiarity with cloud-based DevOps (IaC, CaC, etc.), with experience supporting EDA tools in a primarily cloud-based environment. A multi-disciplinary engineering/DevOps background, keen interest in generative AI, and passion for designing, debugging, and optimizing EDA solutions are also required.

What is the company culture like at Recogni?

Recogni prioritizes employees' well-being and their families, aiming for a healthier, happier life inside and outside work, with a supportive and inspiring work environment in a fast-paced startup. They offer comprehensive benefits, competitive compensation, flexible spending, and Bonusly awards.

What makes a strong candidate for this position?

A strong candidate is an ASIC EDA expert with a multi-disciplinary engineering/DevOps background, 10+ years of Linux and cloud DevOps experience supporting EDA tools, and a passion for generative AI and solving complex technical challenges in a fast-paced environment.

Recogni

Data storage and communication services provider

About Recogni

Recogni provides essential services for data storage and communication, primarily targeting businesses and organizations that need reliable and secure data management. Their services include storing user preferences to enhance user experience and personalizing content, which indicates a focus on improving client interactions. Additionally, Recogni utilizes stored data for statistical analysis, helping clients understand trends and make informed decisions while ensuring that all data is used anonymously to protect user privacy. Unlike many competitors, Recogni emphasizes a commitment to data protection and privacy in its operations. The company's goal is to facilitate smooth electronic communications and empower businesses with valuable insights through data analysis.

San Jose, CaliforniaHeadquarters

2017Year Founded

$171.1MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Unlimited Paid Time Off

Risks

Competition from NVIDIA and Intel threatens Recogni's market share in AI inference.

Rapid AI advancements risk making Recogni's solutions obsolete without continuous innovation.

Potential regulatory scrutiny over data privacy and AI ethics could impact operations.

Differentiation

Recogni develops AI inference solutions focusing on high compute, low power, and scalability.

The company introduced Pareto AI Math, enhancing efficiency in Generative AI models.

Recogni's AI chips are designed to be smaller, faster, and more cost-effective.

Upsides

Juniper Networks' $102M investment boosts Recogni's AI inference capabilities and strategic partnerships.

Kevin Johnson's board appointment offers strategic insights and networking for market expansion.

Growing demand for energy-efficient AI solutions aligns with Recogni's chip design focus.

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