Senior Software Engineer, ReOps

Remote hybrid: The incumbent of this role is expected to spend 2-3 days per week on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area.

Compensation Range: $140,230 - $213,150

Who You Are:

You’re a talented, self-directed software engineer and operator who thrives in a highly-collaborative, fast-paced environment. You’re well versed in developing and operating distributed systems and comfortable working in the lowest levels of the stack to deploy and debug software on linux servers. You’re an excellent technical communicator who can translate ambiguous requirements into crisp, pragmatic designs. You’re capable of and comfortable wearing many hats and are a natural technical leader and mentor who enjoys frequent collaboration.

Who We Are: 

The Research Ops (ReOps) team maintains the software and servers that allow research teams at Ai2 to execute machine learning workloads on high performance, on-premise GPU clusters. Most of our time is spent contributing to Beaker, a user-friendly and GPU-first job orchestration system that was authored at the institute.  We’re also responsible for configuring Ai2’s on-premise servers and maintaining a suite of internal tools, systems and services that are depended on by teams across the organization.

Your Next Challenge:

You’ll be responsible for developing and operating core infrastructure and software that’s used across Ai2 to train, evaluate and serve state of the art machine learning models. Most of your time will be spent writing code, but you’ll also spend a fair amount of time taking care of operational tasks. As part of this you’ll be expected to be a part of our regular on-call cycle, which requires supporting end-users and diagnosing and resolving system issues.

As a senior individual contributor you’ll be expected to quickly implement high quality software, and lead by example in doing so. You’ll need to work both autonomously and collaboratively to deliver features – and play an important part in maintaining a healthy, high-performing engineering culture. You’ll be responsible for designing key systems and driving larger, complicated projects with broad impact.

The essential functions include, but are not limited to the following:

• Making improvements to Beaker, a distributed system written in Go
• Debugging problems with machine learning workloads and/or the underlying infrastructure (servers, network, storage, etc)
• Preparing technical specifications and design documents for new functionality
• Conducting design reviews and delivering features, end-to-end
• Operating and configuring on on-premise linux servers
• Mentor engineers on the team and provide technical guidance
• Collaborating with team members to review code, discuss designs and pair on issues
• Drive technical vision for new infrastructure and software changes with broad impact
• Design critical systems and architectures with a team-wide and long-term impact, or exhibit clear leadership in identifying and applying impactful research
• Provide valuable input into annual and quarterly planning
• Contribute to a healthy, high-performance engineering culture

What You’ll Need:

• 5+ years developing highly available software
• Proficiency in Golang, Python, SQL, shell scripting and linux server administration
• A strong understanding of running containerized workloads (Docker)
• Experience debugging live systems
• Familiarity with cloud infrastructure (GCP, AWS)
• Excellent communication and collaboration skills

Bonus Qualifications:

• Experience operating GPU clusters or developing distributed ML workloads
• Deep systems administration expertise
• Familiarity with Kubernetes
• Experience hosting models for inference

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

The Allen Institute for Artificial Intellig