Software Engineering Manager

Remote, San Francisco, CA, United States

Determined AI


Role Locations

  • Remote
  • San Francisco, CA, United States

Employees

26 - 50 people

Address

324 5 Th St
San Francisco, CA, 94107-1002, US

Tech Stack

  • Go
  • Python
  • Docker
  • Tensorflow
  • PyTorch
  • Keras
  • Kubernetes
  • PostgreSQL
  • AWS
  • Azure Cloud
  • Google Cloud Platform

Role Description

As a Software Engineering Manager, your primary goals will be to help build a high-performing and sustainable engineering team, and to make Determined AI an exceptional place to be an engineer. This will involve coaching and developing your team; designing and implementing processes to make engineering more efficient; contributing your insights and experience to drive engineering goals; helping ensure predictable progress towards engineering project milestones; communicating with clarity and empathy inside and outside the team; and hiring to grow the team. You will be responsible for creating an inclusive, collaborative environment to give the engineering team the best chance to work and grow together, and help each team member do the very best work of her or his career.

Requirements

  • You have at least 2 years of experience managing software engineering teams and at least 4 years of software engineering experience as an individual contributor.
  • You have previous experience in large-scale systems software, especially in data management, distributed systems, or machine learning.
  • You can communicate clearly to people of varying technical levels and motivations.
  • You are excited to mentor and support engineers through regular one-on-ones and feedback (both structured and unstructured).
  • You have identified and implemented strategies to source and hire a diverse set of candidates.

Preferred

  • Experience building a software-as-a-service platform.
  • Experience working with or managing open-source software.
  • Knowledge of or interest in machine learning, data analytics, statistics, and/or high-performance computing.

About Determined AI

We build a high-performance model development environment that enables ML engineers to train better models more quickly, to seamlessly utilize and manage large GPU clusters, and to collaborate more easily with their teammates. Determined allows ML engineers to focus on doing ML at scale, rather than managing infrastructure or writing boilerplate code.

We work at the intersection of large-scale distributed systems and cutting-edge machine learning. Our customers are highly skilled ML engineers and domain experts working on exciting problems in biotech, hardware design, autonomous vehicles, and more. We interact with them to learn more about their data sets, modeling problems, and infrastructure, to help them with our product, and to improve our product offering.

After 4 years as a startup company, we were recently acquired by Hewlett Packard Enterprise (HPE). At HPE, we will remain a distinct organization — we'll be building the same product targeting the same users. Plus we'll have access to HPE's customers, hardware products, and resources to take our mission to the next level.

Company Culture

We believe the best ideas can come from anyone and anywhere, and we have to be humble enough to listen for them. We are customer-focused, but don't think the customer is always right. We are excited about the latest in ML and distributed systems research but try to implement the minimum valuable product. We believe in open communication and transparency in our process and priorities. We believe in the healing power of karaoke and hot sauce.

Interested in this role?
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