Staff Software Engineer, Inference Platform

WeHireYou; India; On-site; INR 17,291,000 - 24,976,000; Full time

Benefits offered by this job

Open source projects

Cutting-edge AI platform

Strong growth culture

Competitive compensation

Job summary

Cerebras Systems is hiring a Staff Software Engineer to help lead and contribute to the Inference Platform team. You will own the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with ML services and driving reliability at scale.

The role demands deep distributed-systems expertise, hands-on production coding in Go or C++, and the ability to shape platform direction with cross‑functional partners across ML, Infrastructure, and Cloud teams.

Qualifications

• 8+ years of software engineering in large-scale distributed systems.
• Deep expertise in distributed systems, ideally Kubernetes.
• Backend or systems programming in Go or C++.
• Security experience (TLS, mTLS).
• Observability, monitoring, and reliability focus.
• Latency optimization in high-QPS environments.

Responsibilities

• Design, develop, test, and maintain production software across the full stack, including testing, observability, security, and production readiness.
• Raise the effectiveness of senior engineers through design feedback and standards.
• Shape platform direction for the Inference Platform, Kubernetes CRDs, failure domains, and system evolution; own major roadmaps.
• Architect active-active systems with rapid failover, graceful degradation, and clear SLOs; improve latency, throughput, and resilience.
• Write and review production code on critical paths and set engineering standards.
• Lead on production issues, drive observability, incident response, capacity planning, and post-incident improvements.

Skills

Distributed systems

Kubernetes expertise

Backend/Systems programming

Security (TLS, mTLS)

Observability & SRE practices

Latency/throughput optimization

Go/C++ production code

Cross-functional influence

Tools

Kubernetes

Go

C++

Job description

Staff Software Engineer, Inference Platform

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 Role

We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD.

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

Responsibilities

• Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization.
• Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards.
• Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes 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

• 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
• Deep expertise in distributed systems architecture, ideally with Kubernetes.
• Strong track record of making sound architectural decisions for 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 or C++, with the expectation that you can contribute production code directly.
• Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations.
• Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems.

Preferred Skills & Qualifications

• Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Location: Sunnyvale or Toronto preferred

Why Join 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.

Headquarters/Sunnyvale Office

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.