Tensordyne
Tensordyne

Ops/Developer Platform Engineer

About Tensordyne (formerly Recogni)

AI is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different modalities and environments - with the ability to quickly learn and then solve complex problems. Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative Al inference solutions that will make Al even more advantageous for compelling new generative AI applications.Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence!

About the role

Tensordyne engineers build software on a scalable, high-throughput internal developer platform.

As an Ops/Developer Platform Engineer, you will be a key member of the DevOps and MLOps team. Your primary responsibility will be focused on enhancing and maintaining the internal developer platform, which includes continuous integration, ML workflow orchestration, the developer environments and various internal developer services.

In this role, you will

  • Maintain and develop CI pipelines and related infrastructure powering our monorepo
  • Maintain and enhance our setup for cloud development and build environments
  • Maintain and develop internal developer-centric services written in Rust
  • Manage and optimize our underlying GCP cloud infrastructure
  • Develop and maintain agentic workflows and internal agentic platforms

Preferred qualifications

  • Experience with infrastructure as code tools such as Terraform
  • Prior experience with GCP
  • Experience with Kubernetes and other related technologies
  • General knowledge of Git concepts

Nice to have

  • Experience with modern Rust, or other modern programming languages and SW engineering practices
  • Experience with Python to support our ML infrastructure and training workflows
  • Experience with Flyte

Tensordyne's culture was built on the following values

  • Put people first. We only succeed when our people succeed.
  • Ethics and integrity always; Being open, honest, and respectful of everyone.
  • Think Big. Be ambitious and have audacious goals of global scale.
  • Aim for excellence. Quality and excellence count in everything we do.
  • Own it and get it done. Results matter!
  • Make each person better together, than they would be as an individual.
  • Embrace each others’ differences, and embrace that there will be differences.

Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

A note to Recruitment Agencies: Please don’t reach out to Tensordyne employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.

Tensordyne is an AI systems solution company that specializes in high-performance, low-power generative AI inference systems. By developing custom silicon, hardware, and software, we empower hyperscaler and neocloud data center customers to accelerate multimodal generative AI applications at scale. Our innovative log-math architecture offers exceptional inference performance while minimizing energy consumption and costs, making us a key partner for the world's largest cloud providers.

Founded
Founded 2017
Employees
51-200 employees
Industry
computer hardware
Funding stage
Series C+
Total raised
$210M raised
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