Principal Systems Engineer at Recogni

San Jose, California, United States

Recogni Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

  • 15+ years of hands-on systems engineering experience
  • Experience designing, debugging (within both benchtop and HIL testbeds), optimizing, and supporting complex software applications
  • Experience with custom, programmable hardware systems (like CPUs, GPUs, NPUs, etc.) leveraging high-speed interconnects, high bandwidth memory, and cooperative multitasking for distributed computing across many processing elements
  • Experience deploying solutions within data centers
  • Demonstrated expertise in Machine/Deep Learning
  • Proficiency with Kubernetes
  • Expert programming skills (C++ and Python)
  • Deep knowledge of Linux OS/driver/real-time software

Responsibilities

  • Contribute to the creation of new hardware, firmware, middleware, and software solutions for Recogni’s multimodal GenAI products
  • Design and develop system-level solutions for Generative AI inference acceleration
  • Advise on and maintain system architecture best practices
  • Collaborate with strategic technology partners
  • Debug and optimize complex software applications

Skills

Key technologies and capabilities for this role

HPCGenerative AIAI InferenceHardwareFirmwareMiddlewareSoftware DevelopmentSystem DesignDebuggingOptimizationData Center Frameworks

Questions & Answers

Common questions about this position

What is the salary for the Principal Systems Engineer position?

This information is not specified in the job description.

Is this role remote or hybrid, and where is it located?

The position is hybrid in San Jose, CA and Munich, Germany, with many talented team members working remotely.

What technical skills are required for this role?

Required skills include expert programming in C++ and Python, proficiency with Kubernetes, demonstrated expertise in Machine/Deep Learning, and deep knowledge of Linux OS/driver/real-time software.

What is the company culture like at Recogni?

Recogni prioritizes employees' well-being and families, offering a supportive environment with comprehensive benefits, competitive compensation, flexible spending, and Bonusly awards for a healthier, happier life.

What experience makes a strong candidate for this position?

Candidates should have 15+ years of hands-on systems engineering experience, expertise in designing and debugging complex systems with custom hardware like CPUs/GPUs/NPUs, data center deployment experience, and a multi-disciplinary background in HPC and generative AI.

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.

Land your dream remote job 3x faster with AI