Advanced Technology: R&D Engineer - AI/ML, HPC

Cerebras Systems; Binangonan; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Cerebras Systems, the world’s leader in wafer-scale AI processors, seeks an R&D Engineer to design workloads on the Wafer-Scale Engine and push performance beyond conventional GPUs.

You will collaborate with ASIC, compiler, kernel, and AI teams and partner with universities and national labs to explore new architectures and novel benchmarks. Join a small, autonomous team pushing unprecedented AI hardware performance.

Qualifications

• PhD preferred; exceptional candidates without a degree may qualify with published research or strong industry track record.
• Deep experience in computer architecture and accelerator design or HPC, numerical methods, AI/ML theory.
• Ability to model and optimize performance of complex systems and algorithms.
• Track record of published research or patents in relevant venues.
• Proficiency in C and Python; comfortable close to hardware.
• Excellent communication and collaboration across fast-paced teams.

Responsibilities

• Design and implement challenging scientific computing and AI workloads on Cerebras’ Wafer-Scale Engine.
• Lead algorithm–hardware co-design with internal and external partners to gain application-level advantages.
• Build analytical performance models to quantify bottlenecks and guide optimization.
• Contribute to the technology roadmap by identifying high-impact workloads and validating on silicon.
• Publish findings and present at top-tier conferences and journals; represent Cerebras in HPC/AI communities.

Skills

C

Python

Education

PhD in Computer Science, Engineering, Applied Mathematics, Physics, or related field

Job description

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.

About The Team

Cerebras builds wafer-scale AI processors—single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) isCerebras’ pathfinding organization. We work ahead of product to explore new architectures,demonstratebreakthrough performance onscientific and AI workloads, and shape the technical roadmap for future Cerebras hardware andsoftware. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, andNeurIPS) and directly influences the design of next-generation wafer-scale systems.

About TheRole

We are seekingR&D Engineers tojoinCerebras’Advanced TechnologyGroup.You will design and implement workloads thatestablishnew performance benchmarks onwafer-scale hardware,leveragingarchitectural features that no traditional platform offers. The
scope ranges from large-scale scientific simulations toemergingAI/ML models, and the worksits at the intersection of algorithm design, compiler co-optimization, and hardware architecture.You will collaborate closely with Cerebras’ ASIC, compiler, kernel, and AIteams as well asexternal partners at universities and national laboratories.

What You Will Do

• Design and implement challenging scientific computing and AI workloads on Cerebras’Wafer-Scale Engine, targeting performance results that advance the state of the art.

• Lead algorithm–hardware co-design efforts with internal R&D teams and externalresearch partners, turning architectural capabilities into measurable application-leveladvantages.

• Build analytical performance models that quantify bottlenecks, guide optimization, andinform future chip and compiler design decisions.

• Contribute to Cerebras’ multi-year technology roadmap byidentifyinghigh-impactworkloads, proposing architectural experiments, andvalidatingthem on silicon.

• Publish findings and present at top-tier conferences andjournals;representCerebras inthe broader HPC and AI research communities.

What We Are Looking For

• PhD in Computer Science, Engineering, Applied Mathematics, Physics, or a related quantitative field preferred. Exceptional candidates without a graduate degree whodemonstrateequivalent depth through published research,significant open-source contributions, or a strong industrytrack recordare encouraged to apply.

• Deep experience in at least one of the following: computer architecture and accelerator design; parallel, distributed, or high-performance computing;numerical methods andscientific simulation; AI/ML theory and model design at a mathematical level.

• Strong abilityto analyticallymodeland optimize the performance of complexsystemsand algorithms.

• Track recordof published research or patents in relevant venues.

• Proficiencyin C and Python; comfort working close to hardware.

• Excellent communication and interpersonal skills:able to present complex technical material to both specialist and cross-functional audiences, and to collaborate effectively in a fast-paced, small-team environment.

Areas Of Particular Interest

We are hiring across several focus areas. Exceptional depth in one or more of the following is a strong signal:

• Computational science : researchers who can bring insights from numerical methods and simulation into AI, or couple simulation and learning into joint computational workflows. Depth in hydrodynamics, solid mechanics, electromagnetics, molecular dynamics, or related PDE-based fields.

• AI/ML foundations : deep understanding of model architecture, optimization methods, and their statistical underpinnings—the ability todesign fromfirst principles, not just apply established recipes.

• Computer architecture : microarchitecture design, computing paradigms at the circuit anddatapathlevel, memory hierarchy design.

• Performance engineering : roofline modeling, bandwidth analysis, kernel optimization, communication-computation overlap, and compiler-level tuning for novel hardware.

Why This Opportunity Is ExcitingAndUnique

• Build on a fundamentally different architecture, unconstrained by GPU assumptions.

• Publish andopen-sourceyour research. We present at Supercomputing, SIAM, IEEE,NeurIPS, and beyond.

• Work on the fastest AI system in the world, with direct access to the hardware yourcompiler targets.

• Join at a pivotal moment: Cerebras is pre-IPO with strong commercial traction and rapidgrowth.

• Be part of a small, technical team with high autonomy, minimal bureaucracy, and a culture thatvalues depth over hierarchy.

We arehiring formultiple positions across experience levels. If this work resonates,

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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.

2. Publish and open source their cutting-edge AI research.

3. Work on one of the fastest AI supercomputers in the world.

4. Enjoy job stability with startup vitality.

5. 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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.