Software Engineer, Data Infrastructure

🕒 May 15

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Cohere

Cohere

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• Build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs. • 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.

🎯 Requirements

• 4+ years of experience working on data storage infrastructure • Strong command of Python • Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.) • The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX • Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink • [Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt • Genuine excitement about AI. • Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimize what already exists

🏖️ Benefits

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)

Apply Now

Similar Jobs

🕒 May 15

Rula

201 - 500

🏪 Marketplace

👥 B2C

🏠 Real Estate

Senior Software Engineer developing and integrating marketing technology stacks at a mental healthcare company. Collaborating with teams to enhance campaign effectiveness and technical excellence.

Distributed Systems

JavaScript

Node.js

React

TypeScript

🕒 May 15

Genesys

5001 - 10000

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

Technical Lead overseeing the Workday Adaptive Planning platform at Genesys. Designing, scaling and governing the enterprise planning ecosystem with cross-functional leadership and integration responsibilities.

Cloud

JavaScript

Oracle

SDLC

SQL

🕒 May 15

Basis Technologies

501 - 1000

☁️ SaaS

🤖 Artificial Intelligence

Software Engineer designing and executing automated testing solutions for Basis, a digital media operations platform. Collaborating with agile teams to ensure quality in a high-throughput ecosystem.

Java

JUnit

SDLC

Spring

🕒 May 14

NVIDIA

10,000+ employees

🤖 Artificial Intelligence

🎮 Gaming

Cloud Platform Software Engineer developing software for NVIDIA's cloud infrastructure. Collaborating with teams to build scalable AI services using Kubernetes.

AWS

Azure

Cloud

Google Cloud Platform

Kubernetes

Terraform

Go

🕒 May 14

NVIDIA

10,000+ employees

🤖 Artificial Intelligence

🎮 Gaming

Senior Full Stack Software Engineer developing advanced GPU cloud infrastructure solutions at NVIDIA. Collaborating across teams to optimize and maintain scalable production systems.

Cloud

JavaScript

Kubernetes

Postgres

React

SQL

TypeScript

Go