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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Cerebras is looking for a Tech Lead Manager to lead our AI-Native Developer Productivity & Infrastructure team in Bengaluru.
This is not a traditional developer tools role. Cerebras is moving its software development organization to an AI-first model: engineers working with coding agents, AI-assisted debugging, automated failure analysis, intelligent CI, self-service environments, and infrastructure that is designed for both humans and agents. This role is an opportunity to help define that transformation from the ground up.
You will lead the team responsible for the systems that determine how fast Cerebras engineers can build, test, debug, integrate, and ship software. The scope includes CI/CD, merge queue and pre-qualification systems, build and test performance, developer observability, cloud and on-prem development environments, incident response, infrastructure automation, and AI-native workflows that reduce friction across the engineering organization.
The right candidate is both a technical leader and a builder of teams. You should be excited to manage and mentor engineers, set technical direction, stay close to architecture and execution, and work directly with senior engineering leaders to reimagine how a world-class AI hardware/software company builds software.
This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to increase developer productivity.
Lead and grow a Bengaluru-based engineering team focused on AI-native developer productivity, infrastructure, and engineering acceleration.
Mentor engineers, review designs, guide architecture, and set a high bar for engineering quality, reliability, and operational excellence.
Own the delivery of key initiatives focused on improving developer experience and velocity across the engineering organization.
Build systems that improve developer turnaround time, including faster builds, lower queue latency, shorter test cycles, better flaky-test management, and clearer failure diagnosis.
Evaluate and adopt development tools and workflows, and guide the organization in effectively leveraging them to improve productivity and code quality.
Partner with engineering teams to ensure these tools are effectively integrated into day-to-day workflows and deliver measurable impact.
Lead war rooms and incident management for critical developer infrastructure issues, driving clear communication, rapid resolution, root-cause analysis, and durable follow-up actions.
Stay hands-on to understand the technical details, debug critical issues, and make strong architectural tradeoffs.
Are deeply focused on developer productivity and reducing friction across the software development lifecycle.
Have a proven track record of building tools and infrastructure that materially improve engineering velocity, reliability, and developer experience. You bring firsthand empathy for the tools, processes, and pain points that create toil, frustration, or burnout for engineering teams.
Have deep experience and strong technical judgment with build systems, CI/CD pipelines, and/or developer tooling in large monorepo environments.
Have strong programming ability in Python or similar systems-oriented languages.
Have engineering leadership experience as an engineering manager, tech lead, or tech lead manager, including experience hiring and growing teams.
Communicate clearly and influence effectively across globally distributed engineering teams.
Show high ownership, strong execution, and sound judgment in ambiguous environments where the right answer is not always obvious.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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