Platform Software Engineer, Tensordyne

Salary not provided

Python

Bash

Linux

C++

Rust

Senior and Expert level

Remote from US

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

Python

Bash

Linux

C++

Rust

Senior and Expert level

Remote from US

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

5+ years of experience developing low-level platform software and tooling for high-performance computing systems deployed to data center customers, including diagnostics and manufacturing support
Hands-on experience bringing up and debugging complex Linux-based systems; a familiarity with AI inference frameworks and data center deployment/management environments is preferred
Expert programming experience in C++, Python, Bash/Shell, Tcl/Expect, and/or related programming languages. Rust experience is a plus
Self-motivated, adaptable, and comfortable working across hardware, software, and manufacturing teams in a fast-paced startup environment
Excellent technical communication skills, with the ability to clearly explain complex technical concepts and practical solutions
BS or MS degree in Electrical Engineering, Computer Science, or a related technical field
Travel to contract manufacturer sites, as needed, to support test station bring-up, troubleshoot production failures in the manufacturing environment

What the job involves

The role will require you to join Tensordyne's Platform Software team to lead requirements gathering, design, and development of system-level services, tools, and supporting tests for Tensordyne's AI inference platform software, including diagnostics, debugging, and analysis capabilities
The successful candidate will support cross-functional engineering teams in the bring-up and validation of platform software on AI inference systems, and work closely with Tensordyne's manufacturing test team to integrate platform tooling into production test scripts and manufacturing diagnostics packages

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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