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Minimum Qualifications

• 5+ years of software engineering experience, including independent ownership of production services, distributed systems, or substantial software components.
• Strong programming ability in Python and proficiency in Go, C++, Rust, or another language used to build production services.
• Experience designing and delivering features that span multiple components, including documenting designs, evaluating tradeoffs, and coordinating implementation with other engineers.
• Experience building and evolving production APIs, with sound practices for validation, error handling, compatibility, and testing. Familiarity with REST, gRPC, or streaming protocols.
• Experience integrating software across service, framework, runtime, or infrastructure boundaries.
• Experience operating services on Linux using containers, Kubernetes or comparable orchestration systems, and CI/CD.
• Ability to diagnose correctness, reliability, and performance issues across distributed components and deliver measurable improvements.
• Strong communication and collaboration skills, including experience leading technical delivery for a small project and supporting other engineers through reviews or mentorship.
• Ability to turn ambiguous requirements into maintainable software while balancing customer needs, delivery timelines, and operational quality.
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.

Preferred Qualifications

• Experience building or operating production ML or LLM inference APIs, including OpenAI-compatible interfaces.
• Experience extending or contributing to vLLM, SGLang, PyTorch, Hugging Face Transformers, Triton, TensorRT-LLM, or another ML systems project.
• Understanding of tokenization, chat templates, generation configuration, logits processing, stopping criteria, tool calling, structured generation, or constrained decoding.
• Experience with disaggregated prefill/decode architectures, KV-cache transfer, prefix caching, chunked prefill, or inference request scheduling.
• Experience building API conformance, model-quality, numerical-comparison, determinism, or performance-regression test systems.
• Experience with multi-model or multi-tenant serving, including routing, admission control, quotas, rate limiting, or capacity-aware scheduling.
• Experience developing performance-sensitive or highly concurrent services in Go, C++, Rust, or a similar language.
• Familiarity with GPU inference, AMD Instinct accelerators, ROCm, CUDA, collective communication, or multi-node model serving.
• Familiarity with reduced-precision inference and quantization formats such as BF16, FP8, FP4, INT8, or INT4.
• Experience building SDKs, developer tools, configuration systems, or self-service ML workflows, or collaborating directly with customers and open-source communities.

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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