Senior Systems Software Engineer

4 Days ago • 5 Years + • Artificial Intelligence

Job Summary

Job Description

Patterned Learning AI seeks a Senior Systems Software Engineer to contribute to the development, integration, and testing of machine learning HPC platforms. Responsibilities include working with multidisciplinary teams, developing system software for AI platforms (including Linux and PCIe drivers, user space libraries), and creating hardware abstraction layers for distributed architectures. The role involves debugging, system integration, and understanding of machine learning (desirable but not essential). Experience with low-latency data transfer, performance optimization, and hardware/software integration is key. This is a remote position requiring 5+ years of experience in a similar role and expertise in C++, with Rust and Python as advantages.
Must have:
  • 5+ years experience in similar role
  • C++ development (low-level, performant systems)
  • High-performance, low-latency software on distributed systems
  • Hardware/software integration expertise
  • Debugging large, complex distributed systems
Good to have:
  • Rust and Python experience
  • Low-latency data transfer experience
  • Experience with x86 and ARM
  • Knowledge of machine learning
Perks:
  • Health benefits
  • Generous PTO
  • Flexible working hours
  • 401k
  • Dog-friendly office (optional)
  • Unlimited snacks & drinks

Job Details

This is a remote position.

Senior Systems Software Engineer - Remote Job, 5+ Year Experience


At Patterned Learning AI . We believe in an AI economy powered by human agency. We envision a world where AI is accessible to all, a world that demands processing power that is better, faster, and more affordable than is available today. AI applications are currently constrained by the limitations of the Graphics Processing Unit (GPU), a technology originally developed for the gaming market and soon to become the weakest link in the AI economy.


Enter Patterned Learning AI 's LPU™ AI Inference Technology. Specifically engineered for the demands of large language models (LLMs), the Language Processing Unit outpaces the GPU in speed, power, efficiency, and cost-effectiveness. The quickest way to understand the opportunity is to watch the following talk – Patterned Learning AI .link/css demo.


Why join Patterned Learning AI ? AI will change humanity forever, and we believe preservation of human agency and self determination is only possible if AI is made affordably and universally accessible. Patterned Learning AI ’s LPUs will power AI from an early stage, and you will get to leave your fingerprint on civilization.


Senior Systems Software Engineer


Responsibilities & opportunities in this role:



Work within a multidisciplinary team environment to take part in the development, integration, and testing of machine learning HPC (High Performance Compute) platforms.

Work multi-functionally with other software, hardware, architecture, and support teams to deliver system software for AI platforms, Linux drivers, PCIe drivers, and user space libraries.

Develop hardware abstraction layers between Patterned Learning AI  hardware and applications in a highly distributed architecture, of multiple Patterned Learning AI  chips, Patterned Learning AI  cards, and Patterned Learning AI  racks.

Triage and debugging of various SW issues.

System integration of embedded systems with Silicon, Firmware, and Software

Understanding machine learning is desirable but not essential.



Ideal candidates have/are:



5+ years of working experience in a similar role.

Degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or equivalent practical experience.

Extensive experience developing low-level performant systems in C++. Advantage: experience in Rust and Python.

Experience developing high performance, low-latency low latency application runtime software on distributed systems.

Prior Experience with low latency data transfer between I/O devices and memory would be a plus.

Proficiency with debugging large, complex distributed system software.

Knowledge of performance optimization, hardware/software integration, and Low latency IPC over a network.

Genuine passion for system engineering and hardware/software integration

Experience developing and shipping low-level system software for x86 and ARM.



Attributes of a Patterned Learning AI ster:



Humility - Egos are checked at the door

Collaborative & Team Savvy - We make up the smartest person in the room, together

Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously

Curious & Innovative - Take a creative approach to projects, problems, and design

Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking



If this sounds like you, we’d love to hear from you!



Candidates must be authorized to work in the United States full-time. We are not able to sponsor applicants for work visas at this time.

Flexible location: work where you want to, either remotely across the U.S. or from our HQ in NYC 


About  us: We are backed by a recent $3.8 million investment from top silicon valley investors, we're on a mission to unlock the full potential of developers.


What We Do: Patterned Learning AI platform helps developers learn, grow, and excel by providing intelligent code assistance, identifying areas for improvement, and fostering a collaborative learning environment.


We have a flexible, work-from-home, style of operation with an on site office that is optional. 


Benefits: We offer health benefits and generous PTO packages. 

Our office is dog friendly, has unlimited snacks & drinks, flexible working hours (get out for the pow day!), and lots of rock climbing & skateboarding. 

We also offer competitive:

Medical insurance

Vision insurance

Dental insurance

401(k).

At Patterned Learning AI, we are committed to being a fun, groundbreaking, and inclusive place to work.


We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.




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