Software Engineer (Data Infrastructure)

• We’re building the data infrastructure behind some of the most demanding AI training workloads in the world, and we want sharp, curious people to help us do it
• In this role, you’ll build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs
• As a Software Engineer, Data Infrastructure, you will:
• Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it
• Collaborate daily with researchers and engineers who are some of the best in the world at what they do

Benefits

• Six weeks’ paid vacation
• Equity / stock options
• RRSP, 401(k), and Pension Scheme contributions
• Coverage for 100% of your insurance premiums across health, dental, vision, and travel
• Additional coverage for accessing mental health providers/services
• Six months of fully paid parental leave, including adoption and surrogacy
• Financial support for egg freezing and IVF in Canada and the UK
• A monthly fitness and wellness allowance
• Globally dispersed company that supports a remote work culture
• A $2,000 annual education benefit for professional development
• A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
• A monthly arts and culture allowance
• A monthly quality time allowance

• Comfort operating at the edge of what’s known, with a desire to build something genuinely new rather than optimize what already exists
• Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.)
• Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink
• Strong command of Python
• The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX
• Genuine excitement about AI. You follow the research, have opinions, and enjoy being in the weeds
• 4+ years of experience working on data storage infrastructure
• [Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt
• If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!