Staff Data Engineer, Tenstorrent

Data Platform

$100-500k

Plus variable compensation targets

SQL

AWS

Docker

Kubernetes

Python

Elasticsearch

Airflow

Excel

Terraform

Kibana

Spark

Grafana

JIRA

Git

REST API

Senior and Expert level

Austin

San Francisco Bay Area

Toronto

Next-generation computing company building computers for AI

Job no longer available

Next-generation computing company building computers for AI

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Job no longer available

$100-500k

Plus variable compensation targets

SQL

AWS

Docker

Kubernetes

Python

Elasticsearch

Airflow

Excel

Terraform

Kibana

Spark

Grafana

JIRA

Git

REST API

Senior and Expert level

Austin

San Francisco Bay Area

Toronto

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Company mission

To bring unique solutions to the problems facing AI and machine learning.

Job

Company

Role

Who you are

The ideal candidate for this role excels at building end-to-end data processing automations running on a modern and scalable hybrid-cloud data infrastructure
You are very experienced in writing Python data processing code, Airflow DAGs, and working with SQL and no-SQL databases
You highly appreciate the importance of and are very familiar with IaC, CI, monitoring and logging, security and documentation to achieve the highest levels of automation, quality and functionality
Excellent Python programming skills, with a focus on data processing
Experience designing, managing and optimizing SQL databases and schemas
Experience working with AWS, such as S3, EC2, IAM, SFTP, Cloudwatch, Lambda and other services
Advanced SQL queries and functions programming
Experience working with no-SQL (Elasticsearch) and time-series databases (TimescaleDB)
Experience building RESTful APIs
Proficiency in containerization technologies, such as Docker and Kubernetes
Familiarity with IaC technologies, such as Terraform
Experience deploying and working with data analytics, dashboarding and visualization tools, such as Apache Superset, Grafana, Kibana
Experience with distributed processing and querying solutions is a plus, such as Trino and Spark
Comfortable using Agile development methodologies and industry standard software development lifecycle processes (Jira, Git, documentation)
Self-motivated and independent individual with a strong desire to learn, explore, and excel in a fast-paced, innovative environment

What the job involves

As a Staff Data Engineer in our Data Science and Engineering team, you will help grow the reach and scope of Tenstorrent's data engineering and data science workflows, including batch processing, streaming, metadata management, and machine learning
You view self-serve data analytics and ML applications leveraging the curated datasets you produce as customers
Help envision and build the future of our data platform and data pipelines. You will have a remarkable impact on the overall tech stack we use to process the rich data available at Tenstorrent
Design and implement end-to-end data pipelines to process batch and streaming data at small to medium scale, employing cutting-edge data processing and orchestration methodologies, including distributed computing solutions when applicable
Lead collaboration with data producers and data consumers to identify product requirements and structure effective implementation of solutions
Lead the integration of a wide range of technologies constituting our data infrastructure. Architect and build new ones when available solutions fall short
Identify, evolve, and champion data/software engineering best practices, as they best fit a small and agile team
Help define and implement scalable data governance, security and privacy solutions, including an AI-powered data catalog
Build automation for IaC
Contribute to our data engineering roadmap, working cross-functionally to define priorities and establish effective collaboration

Our take

Tenstorrent is a US- and Canada-based semiconductor startup specializing in processors for AI workloads. Rather than building gneral-purpose CPUs or GPus, the company develops custom chips and sofrware optimized for running moder AI models. As demand for AI accelerates, and as a global chip shortage reshapes the semiconductor industry, these trends have become strong tailwinds for Tenstorrent.

The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.

While the market for specialized AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

52% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (last 2 of 7 rounds)

Dec 2024

$693m

SERIES D

Jun 2024

$300m

LATE VC

Total funding: $1.3bn

Company HQ

Flemingdon Park, Toronto, ON

Leadership

Jim Keller

(CEO)

Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.

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