Is the Software Engineer, Inference Platform role remote?

No — this is an on-site role in Sunnyvale.

How much experience is required?

At least 3 years of relevant experience for this Software Engineer, Inference Platform role.

Where is the role based?

Cerebras Systems is hiring for this position in Sunnyvale.

What's the tech stack?

Joblaze extracted these technologies from the posting: C++, Go, Kubernetes.

What seniority level is this role?

Cerebras Systems targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Software Engineer, Inference Platform role at Cerebras Systems.

Software Engineer, Inference Platform at Cerebras Systems

Joblaze summary

In this role, the Software Engineer will focus on developing and maintaining the orchestration layer for Cerebras Systems' Inference Platform, ensuring seamless integration between cloud and machine learning components. Key skills include experience with distributed systems, particularly Kubernetes, and proficiency in backend languages like Go or C++. This position is ideal for engineers with a solid background in building high-availability systems and a passion for tackling complex technical challenges in a fast-paced environment.

Joblaze insights

Listed today on Joblaze — tracked directly from Cerebras Systems's career page.
Cerebras Systems has 102 other open roles including Staff Software Engineer, Inference Platform , Senior Front End Design Engineer (Microarchitecture), ML Systems Performance Engineer.
1138 active Kubernetes roles on Joblaze right now.
805 active Go roles on Joblaze right now.
705 active C++ roles on Joblaze right now.

Quick facts

Is the Software Engineer, Inference Platform role remote?: No — this is an on-site role in Sunnyvale.
How much experience is required?: At least 3 years of relevant experience for this Software Engineer, Inference Platform role.
Where is the role based?: Cerebras Systems is hiring for this position in Sunnyvale.
What's the tech stack?: Joblaze extracted these technologies from the posting: C++, Go, Kubernetes.
What seniority level is this role?: Cerebras Systems targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Software Engineer, Inference Platform role at Cerebras Systems.

From the original posting

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include top 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.

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

Location: Sunnyvale

We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters which glues together the cloud components to the ML components. We are often the first team to face issues that haven’t been solved yet so we get to lead the company on a wide variety of solutions, from k8s operators to security policies of services and CI/CD.

This is a hands-on role for an engineer who will split their time between design and coding and should be experienced in all facets of development including; testing, continuous development, observability, security, networking, debugging, productionization.

If you're interested in building our next-generation architecture of a globally distributed inference platform, we'd like to talk.

Responsibilities

Platform Direction. Help shape the technical direction for the Inference Platform, k8s custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas.
Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand.
Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment.
Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor.
Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces.

Skills & Qualifications

3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
Experience in distributed systems ideally with Kubernetes.
Experience building highly available, latency-sensitive systems at scale.
Experience with security (certificates, TLS, mTLS)
Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus.
Strong proficiency in backend or systems languages such as Go, C++.
Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads is a plus.

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.

Read our blog: Five Reasons to Join Cerebras in 2026.

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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Software Engineer, Inference Platform

Why Join Cerebras

Apply today and become part of the forefront of groundbreaking advancements in AI!

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