Staff Data Engineer, Tenstorrent
$100-500k
OTE
OTE includes base and variable compensation targets
More information about location
Building computers for AI
Be an early applicant
Building computers for AI
501-1000 employees
Be an early applicant
$100-500k
OTE
OTE includes base and variable compensation targets
More information about location
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- The ideal candidate will demonstrate proficiency in clarifying ambiguous information, establishing structured data models from unstructured data, and building end-to-end data processing automations running on a modern and scalable hybrid-cloud data infrastructure
- Additionally, the candidate should have extensive experience writing Python data processing code, Airflow DAGs, and working with SQL and no-SQL databases
- The ideal candidate highly values and is familiar with IaC, CI, monitoring, and documentation to achieve the highest levels of automation, quality, and functionality
- For this role, we are looking for 5+ years of industry experience in data engineering, of which 2+ years as a technical lead
- Robust leadership in the establishment of data management methodologies spanning the entire data lifecycle from data generation to utilization
- Advanced OOP Python programming skills, particularly in data processing
- Experience with the SQLAlchemy ORM
- SQL database and schema design, management, and optimization expertise
- Hands-on experience with AWS services including S3, EC2, IAM, SFTP, Cloudwatch, and Lambda
- Familiarity with IaC technologies, such as Terraform
- Experience with time-series (TimescaleDB) and NoSQL databases (Elasticsearch)
- Experience deploying and working with data analytics, dashboarding and visualization tools, such as Apache Superset, Grafana, Kibana
- Experience building RESTful APIs
- Proficiency in containerization technologies (Docker, Kubernetes)
- Experience with Agile development methodologies and tools, including Jira and Git, and familiarity with industry-standard software development lifecycle processes
- Comfortable working independently and self-motivated to learn and excel in a fast-paced, innovative environment
What the job involves
- The Staff Data Engineer in the Data Science and Engineering team will play a key role in fostering a data-driven culture within the organization
- This will be achieved by designing, implementing, and maintaining robust data pipelines and architectures that enable efficient and reliable collection, processing, and storage of data from diverse sources
- The Staff Data Engineer will guide and empower stakeholders across the organization to create and leverage high-quality, curated datasets and information, thereby facilitating data-driven decision-making and innovation
- This role is hybrid OR on-site, based out of Santa Clara, CA, Austin, TX, Fort Collins, CO, or Boston, MA
- Develop and implement scalable end-to-end data pipelines using modern data processing and orchestration techniques, for both batch and streaming data
- Lead collaboration with data producers and data consumers to identify clear product requirements and structure an effective implementation of solutions, guiding the overhaul of pre-existing methods, when necessary
- Identify, evolve, and champion data/software engineering best practices and AI automations, as they best fit a small and agile team
- Automate infrastructure as code using Terraform
- Collaborate cross-functionally to define priorities, identify new projects, and establish effective partnerships to contribute to our data engineering roadmap
- 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
Our take
Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".
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 specialised 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
52% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Dec 2024
$700m
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.
Milos Trajkovic
(Co-Founder & Director of Hardware Engineering)Former Manager of Firmware Design Engineering at AMD, and FPGA design engineer at Signum Concepts.
Ivan Hamer
(Co-Founder)Former Consulting Software/Embedded Engineer at AMD, and Senior Software Developer at iNTERFACEWARE.
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