Software Engineer - TuMeke|Meet.jobs

Salary

130k - 150k USD Annually

Required skills

    Job description

    Job Location
    Visa Sponsorship

    Available

    Remote Work Policy

    Onsite or remote

    Hires remotely in
    RelocationAllowed
    Skills
    Python
    Docker
    Kubernetes

    About the job

    Location: SF Bay Area - Hybrid

    Compensation: $140k - $170k + .05-.2% equity

    Experience: 3 years (Plus)

    The Company

    Factory safety practices haven’t changed since the 50s -- and it shows. Despite automation technology and advances in global supply chain management, worker injury costs have increased yearly and the largest fraction of injury still comes from material handling and assembly tasks. At TuMeke we’re leveraging automation to keep factories safe and cut down on injury rates. Our first product uses computer vision to perform safety inspections on factory workstations automatically.

    We are looking to hire a backend learning engineer to join our ten person team. The ideal candidate is someone with deep expertise in Python, AWS, and Kubernetes. This person is also comfortable getting their hands dirty understanding customer needs & setting product direction. They will shape our engineering culture and help cement TuMeke’s reputation as a world class ML organization.

    If you join us, you’ll be an early team member in helping guide:

    • The culture of our organization
    • Who we hire
    • The focus of our products
    • Engineering best practices
    • Challenges you’ll work on:

    Projects you will work on

    • Implement parallelized versions of bottlenecked numpy operations
    • Optimizing the size of our production ML docker container.
    • Improve the time it takes to re-encode user videos in a web playable format.
    • Develop a cogent local devops stack
    • Implement an intelligent caching system to improve the speed of critical database operations

    Problems our backend team has worked on (successfully!) so far:

    • Reduce the spin-up time of new AWS ML nodes by 8x using AMIs and Karpenter
    • Implement a novel video DRM protection scheme at ~1% of the cost of commercial alternatives
    • Split up monolithic backend into microservices to improve GPU utilization by 30%.
    • Re-writing CUDA kernels to improve ML inference times
    • Implementing AWS infra in-code using Terraform

    Successful candidates:

    • Have 3 years of experience with Python, AWS, and Kubernetes.
    • Have built robust CI/CD pipelines, and are familiar with Docker, Kubernetes, and Terraform.
    • Have used Javascript before and are willing to learn more about it.
    • Are willing to serve on-call periodically
    • Are excited to create a new product in a space that hasn’t seen innovation in a generation.
    • Supportive—especially when teammates are faced with new challenges.
    • Feel a great sense of accountability to each other.
    • Uphold best practices in engineering, security, and design.

    Benefits:

    • 401k (100% company match on first 3%, then 50% of contributions from 3% to 5%) Full Health, dental, vision
    • 3 weeks paid vacation
    • Monthly team building events

    Location preference is SF Bay Area, though we are considering all qualified candidates within the US.

    TuMeke