Cerebras Systems
Senior Software Development Engineer in Test (SDET) - AI Cluster
Toronto, CAN · Senior
Sponsorship not specifiedDetected 52 days ago
PythonGoCDistributed SystemsAWSKubernetesPrometheusGrafanaMachine LearningData ScienceCompliance
Stay score
odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
22 transfer filings in the last year, covering 22 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- 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.
- OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Responsibilities
- Automate first approach - In large scale deployment, automation drives efficiency and scalability. Aim for 100% automated tests to test all cluster features in areas of high availability, failure scenarios, performance, stress and security.
- In large scale deployment, automation drives efficiency and scalability. Aim for 100% automated tests to test all cluster features in areas of high availability, failure scenarios, performance, stress and security.
Requirements
- Bachelor's or master's degree in engineering in computer science, electrical, AI, data science or related field.
- 5+ years of experience in testing one of areas like enterprise software, distributed systems, datacenter hardware and software.
- Experience with debugging tools like pdb, gdb, strace and network monitors.
- Strong understanding of operating systems internals like memory management, file system working, security and performance.
- Strong understanding of datacenter layout, device performance characteristics like Servers, Memory, BIOS, PCIe, networking and storage.
- Strong coding skills in one of the programming languages like python, golang and C/C++.
- Strong debugging skills to debug issues in large distributed systems, hardware, and software. Experience with debugging tools like pdb, gdb, strace and network monitors.
- Experience with cloud technologies like AWS, kubernetes and dockers. Monitoring tools like grafana, prometheus is huge 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.
Nice to have
- Experience with cloud technologies like AWS, kubernetes and dockers.
- Monitoring tools like grafana, prometheus is huge plus.
- Understanding and experience of ML model training and inference is a huge plus.
- Understand of ML hardware accelerators like GPU, custom accelerator ASIC is a huge plus.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Company info
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
- Cerebras is growing and innovating at a rapid pace and so is the ML community and AI models. Be a quick learner, adapt to new technologies, and bring your expertise. We are looking to hire a team with a diverse skill set.
Apply directly at Cerebras Systems →Create a free account for alerts like thisView Cerebras Systems immigration profile
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.