Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
The Senior 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 Senior 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. 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. They should view self-serve data analytics and ML applications that leverage the curated datasets they produce as their customers. The ideal candidate highly values and is familiar with IaC, CI, monitoring, and documentation to achieve the highest levels of automation, quality, and functionality.
This role is hybrid, based out of Santa Clara, CA.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Responsibilities:
- 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.
Experience & Qualifications:
- 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.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.
Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.
If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.
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What We Do
Tenstorrent is a next-generation computing company that builds computers for AI.
Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers.
Join us: www.tenstorrent.com/careers
