Advanced Technology: Compiler Engineer

Cerebras Systems; Binangonan; On-site; PHP 9,381,000 - 14,384,000; Full time

Job summary

Cerebras Systems is seeking Compiler Engineers to join a small team working on Tungsten, our dataflow language compiler for wafer-scale hardware. You will design and implement compiler passes, contribute to language design, and shape code generation for AI workloads on hundreds of thousands of cores.

Collaborate with ASIC, kernel, and AI teams to align software with hardware, extend the toolchain with runtime and debugger components, and help deliver the fastest AI system in the world.

Qualifications

• PhD in Computer Science or Computer Engineering preferred; exceptional candidates without a graduate degree may apply with strong evidence.
• Substantial experience in compiler development: IR design, optimization passes, code generation, or backend implementation for novel architectures.
• Strong grasp of computer architecture: instruction sets, memory models, dataflow execution, hardware constraints on compilation.
• Systems-level programming ability in C; reason about performance at instruction/memory-access level.
• Ability to view compilation as a design problem; understand interaction between language semantics, IR, and hardware capabilities.
• Excellent communication and interpersonal skills for a small, fast-moving team.

Responsibilities

• Design and implement compiler passes across the Tungsten toolchain: mid-end optimization, backend code generation, instruction scheduling, register allocation, assembler, and linker.
• Co-design language constructs that improve expressiveness and performance for dataflow execution on wafer-scale hardware.
• Develop and iterate on code generation strategies for complex AI workloads, analyzing performance bottlenecks and closing the gap between peak and achieved throughput.
• Extend the compiler to support future hardware architectures as they move from design to silicon.
• Work with ASIC architects and application researchers to inform hardware-software co-design decisions.

Skills

Compiler development

IR design

Backend implementation

C systems programming

Performance optimization

Communication skills

Education

PhD in Computer Science or Computer Engineering

Tools

MLIR

XLA

TVM

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 The Role

We are seeking Compiler Engineers tojoina small teamof specialistsworking onour emerging Tungsten language compiler.Tungsten is Cerebras’ dataflow programming language, purpose-built for wafer-scale hardware.You will work on the Tungsten compiler from language design through code generation, buildingthe toolchain that translates high-level intent into efficient execution across hundreds ofthousands of cores with a memory and interconnect model unlike anything in conventional computing.

This is not incremental work on an existing backend. The architecture is new, theprogramming model is new, and the compiler is where those two things meet. You willcollaborate closely with Cerebras’ ASIC, kernel, and AI teams, and your design decisions willdirectly shape both the language and the hardware it targets. Beyond the compiler itself, thebroader toolchain—runtime, debugger, simulator—is still being built, and we are equallyinterested in engineers who want to own those pieces of thedeveloperexperience on novelhardware.

What You Will Do

• Design and implement compiler passes across the Tungsten toolchain: mid-end optimization, backend code generation, instruction scheduling, register allocation, assembler, and linker.

• Co-design language constructs that improve expressiveness and performance fordataflow execution on wafer-scale hardware.

• Develop and iterate on code generation strategies for complex scientific and AI workloads, analyzing performance bottlenecks and closing the gap between peak andachieved throughput.

• Extend the compiler to support future hardware architectures as they move from designto silicon.

• Work directly with ASIC architects and application researchers to inform hardware-software co-design decisions.

What We Are Looking For

• PhD in Computer Science or Computer Engineering preferred ; exceptional candidateswithout a graduate degree whodemonstrateequivalent depth through publishedresearch, significant open-source contributions, or a strong industrytrack recordareencouraged to apply.

• Substantial experience in compiler development: IR design, optimization passes, codegeneration, or backend implementation for novel or non-standard architectures.

• Strong grasp of computer architecture: instruction sets, memory models, dataflowexecution,and howhardware constraints shape compilation strategy.

• Systems-level programming ability in C; comfortreasoning aboutperformance at theinstruction and memory-access level.

• Ability to think about compilation as a design problem, not just an implementation task:you should have opinions about how language semantics, compiler IR, and hardwarecapabilities interact.

• Excellent communicationand interpersonalskills: able to work effectively in a small, fast-moving teamwhere compiler, architecture, and application concerns are deeply intertwined.

ValuableAssets

• Experiencewithcompilers for spatial, dataflow, or CGRA architectures where the compilationmodel diverges significantly from conventional CPU/GPU targets.

• Exposure to ML compiler frameworks (MLIR, XLA, TVM) and understanding of how AI workloads map to hardware.

• Experience with multi-dimensional data representations, tiling strategies, and vectorizedoperations.

• Track recordof published research or patents in compilers, programming languages, orarchitecture.

• Experience building runtime systems, debuggers, or architecture simulators, particularlyfor non-standard hardware.

• Understanding ofparallel/distributed systems and cluster computing.

WhyThis OpportunityIsExcitingAndUnique

• Build a compiler for hardware thatdoesn’texist anywhere else.The architectureis theconstraint and the opportunity.

• 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.

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!

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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