Principal Systems Engineer, Tensordyne

Salary not provided

Kubernetes

Python

Linux

C++

Expert level

San Francisco Bay Area

Office located in Sunnyvale, CA

Next-generation AI inference systems

Be an early applicant

Next-generation AI inference systems

101-200 employees

B2BArtificial IntelligenceEnterpriseCarsComputer VisionSaaS

Be an early applicant

Salary not provided

Kubernetes

Python

Linux

C++

Expert level

San Francisco Bay Area

Office located in Sunnyvale, CA

101-200 employees

B2BArtificial IntelligenceEnterpriseCarsComputer VisionSaaS

Company mission

To build AI math, chips, hardware, and software from the zeroth layer up, rewriting the numbers so intelligence flows with a fraction of today's energy and cost.

Job

Company

Role

Who you are

15+ years of hands-on systems engineering experience, that includes:
Designing, debugging (within both benchtop and HIL testbeds)
Optimizing and supporting complex software applications that run on custom, programmable hardware systems (like CPUs, GPUs, NPUs, etc.) that heavily leverage high-speed interconnects, high bandwidth memory and cooperative multitasking for distributed computing across many processing elements, deployed within data centers
Demonstrable expertise of Machine/Deep Learning and Kubernetes, with expert programming skills (proficiency with C++ and Python) along with a deep knowledge of Linux OS/driver/real time software development
Excellent analytical, written, and verbal interpersonal skills along with an ability to productively collaborate within a global engineering team that moves at a startup pace
Master's degree in Computer Science, Computer Engineering, Electrical Engineering or a related technical field

What the job involves

In this hands-on, technology leadership role, you will be responsible for multi-disciplinary end-to-end system development for our cutting-edge, multimodal generative AI inference products
You will contribute the creation of new hardware, firmware, middleware and software solutions for Tensordyne’s multimodal GenAI products, as well as for its interfaces to partner’s high performance data center frameworks
This is a hands-on role that’s ideal for HPC experts who have a multi-disciplinary engineering background, along with a keen interest in generative AI, and a passion for designing, debugging, optimizing and finding creative system level solutions to complex technical challenges
In this role, you will also frequently advise upon, and maintain system architecture best practices for hardware and software solutions that are built in-house, as well as with strategic technology partners

Our take

The AI industry is growing fast, but it's also running into a big problem: power. LLMs need huge amounts of energy, adn the more compute you add, the higher the costs and technical challenges. Hyperscalers, cloud providers, and AI startups all face the same question, how to scale AI efficiently without wasting power. And the search for smarter, more efficient solutions is becoming critical.

Tensordyne, formerly Recogni, began as a maker of automotive edge chips but quickly pivoted to focus on data center AI. The team realized that the future of AI would be defined by large-scale inference, where efficiency and scalability matter most. Their approach goes beyond hardware tweaks, using a logarithmic math system that slashes energy use while improving accuracy, making AI faster, cheaper, and more sustainable.

LLMs and data center AI are consuming massive amounts of power, and this is becoming a real concern. Tensordyne's efficient hardware and innovative logarithmic math can cut energy use drastically while keeping performance high, helping ensure AI can grow sustainably without overloading costs or the environment.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

6% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 3 rounds)

Feb 2024

$102m

SERIES C

Feb 2021

$48.9m

SERIES B

Total funding: $175.9m

Company HQ

Sunnyvale, CA

Leadership

RK Anand

(Co-Founder & CPO)

RK comes from a Computer Engineering background and has gained extensive experience in managing and founding multiple technology enterprises.

Marc Bolitho

(CEO)

Marc previously spent over 6 years at ZF Group in various roles, including Senior VP and GM of ADAS Business Unit. Prior to that, he spent nearly 22 years at TRW Automotive in roles including Chief Engineer and GM and Engineering DIrector of Global Passive Safety Electronics.

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