Software Engineer, Tensordyne

Salary not provided

JavaScript

Python

Jenkins

CUDA

Git

Mid and Senior level

San Francisco Bay Area

Office located in San Jose, CA

Next-generation AI inference systems

Job no longer available

Next-generation AI inference systems

101-200 employees

B2BArtificial IntelligenceEnterpriseCarsComputer VisionSaaS

Job no longer available

Salary not provided

JavaScript

Python

Jenkins

CUDA

Git

Mid and Senior level

San Francisco Bay Area

Office located in San Jose, 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

3-5+ years of Systems Software experience; candidates with more years of experience are encouraged to apply and may be considered for higher level rolesProficiency with CI/CD infrastructure (e.g., Jenkins, Buildbot, CircleCI)
Experience working under RTOS/ROS environments
Experience in Sensor and robotics development: Motor drivers / sensors data reading / writing, camera calibration etc
Experience with version control software (Git, GitHub)
Experience in Backend development for simple web services / APIs / etc
Relational Database experience - modeling & normalizing tables
Strong scripting and debugging skills using shell scripts, Python, and JavaScript
Implementing various development, testing, automation tools, and IT infrastructure
B.S. in Computer Science, Engineering, Mathematics, or equivalent experience (Any more is a bonus)

Desirable

Experience with OpenCV, PCL or other computer-vision libraries
Experience with hardware and software components of perception systems (Radar, LiDAR, and/or Camera)
Experience with GPU development and libraries (eg. CUDA)
Knowledge of AI/ML concepts and algorithms

What the job involves

The role will require you to work with highly-qualified Software Engineers to gather requirements, perform analysis, and design and deploy scalable software applications
You are expected to have a thorough understanding of technical concepts required for sensor and robotics, backend development for simple web services, infrastructure automation and should be able to navigate and quickly understand complex code and systems
The position demands excellent analytical and problem solving skills, and applicants must be able to communicate clearly and effectively. You should be a person with great technical passion and drive for results

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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