Cerebras
Director/Sr. Manager, AI Inference Model Scaling
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Sunnyvale, CA
Employer listed it 2 months ago · Added today
Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Sunnyvale, CA
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Software
This employer didn't state pay. Jobs like this usually pay around $200k–$275k a year, a typical range taken from 596 lead-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Sunnyvale, CA, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Sunnyvale, CA, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
Sunnyvale, CA or Toronto, Canada (Hybrid)
About the Team
The Inference Model Scaling team enables state-of-the-art foundation models and generative AI workloads to run efficiently on Cerebras' Wafer-Scale Engine (WSE). We build the compiler frontend, model transformation pipeline, graph optimization infrastructure, high-performance kernel enablement, and runtime integration that together make next-generation AI models execute with industry-leading performance.
The team works at the intersection of machine learning frameworks, compiler technologies, distributed systems, hardware architecture, and model optimization. We collaborate closely with hardware architects, runtime engineers, cloud platform teams, AI researchers, and strategic customers to rapidly bring new model architectures into production.
About the Role
We're looking for an experienced engineering leader to build and scale our Inference Model Scaling organization.
You will define the technical vision, organizational strategy, and execution roadmap for a globally distributed engineering team responsible for enabling the latest foundation models on Cerebras hardware. You will lead the engineering organization responsible for ML model compilation and optimization as well as development of high-performance kernels.
This role combines deep technical leadership with organizational excellence. You will partner across compiler, runtime, cloud infrastructure, hardware architecture, product management, and AI research teams while helping shape the future of AI inference at Cerebras.
Responsibilities
Technical Leadership
Define the technical roadmap and strategy for the team.
Establish technical direction across multiple teams and engineering leaders.
Lead design reviews and establish engineering standards.
Drive support for emerging LLM architectures and inference workloads.
Team Leadership
Hire, mentor, and grow a high-performing engineering team.
Develop future technical leaders and managers.
Drive organizational planning, headcount strategy, and investment priorities.
Foster a strong engineering culture focused on execution, quality, and innovation.
Scale engineering processes while maintaining execution velocity.
Cross-Functional Collaboration
Partner with Cloud Platform, ML, and Hardware teams in planning and delivering for end-to-end service enablement in Cloud and On-Premise settings
Work with Product Management to prioritize model enablement and customer needs.
Requirements
- ·BS, MS, or PhD in Computer Science, Computer Engineering or related field.
- ·12+ years building compiler, ML systems, or infrastructure software.
- ·5+ years leading engineering teams.
- ·Deep experience with modern compiler infrastructure (LLVM, MLIR, XLA, TVM, Torch FX, or similar).
- ·Strong understanding of graph compilation and optimization.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Cerebras, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 22h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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