Cerebras

2 months ago

Member of Technical Staff (Software Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Develop and maintain high-performance, low-latency inference infrastructure for production machine learning services. Deploy and scale inference workloads using Kubernetes, optimize autoscaling and resource allocation, and ensure high availability through multi-region deployment and disaster recovery. Build Python APIs and scripts for real-time inference workflows, troubleshoot defects via logs/metrics/traces, and collaborate with ML and product/UX teams to validate performance, reliability, and interface requirements.

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Entry level

Key Responsibilities

•Implement infrastructure for high-performance, low-latency inference services.
•Deploy and configure Kubernetes services for scalable, reliable inference workloads.
•Optimize resource allocation and autoscaling policies to handle variable demand and reduce operational costs.
•Build Python-based scripts and APIs for data preprocessing, inference execution, and post-processing.
•Ensure availability and fault tolerance via multi-region deployments and disaster recovery, and triage production defects using logs, metrics, and distributed traces.

Key Requirements

•Master's degree (or foreign equivalent) in Computer Science or a related field.
•1+ year of experience as a Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or related role.
•Experience gained before, during, or after graduate studies is accepted on a full-time or equivalent part-time basis.
•Docker and Kubernetes experience.
•Proficiency with at least Java or C++, plus experience with ActiveMQ and Kafka, Python or Groovy, JavaScript or TypeScript, Linux, SQL/OracleDB/Redis, and Git.

Experience:1+ yearsAIMachine learningInference infrastructureCloud inferenceDistributed systems

Education:Master's in Computer Science (or related field)

Skills:Cross-functional collaborationTroubleshootingDocumentationPerformance optimizationDebugging

Tech Stack:KubernetesDockerPythonGroovyJavaC++JavaScriptTypeScriptLinuxSQLOracleDBRedisActiveMQKafkaGitJiraAPIsJenkinsDistributed tracesMetrics

Company Brief

Cerebras

Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn

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Cerebras

2 months ago

Member of Technical Staff (Software Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Entry level

Key Responsibilities

•Implement infrastructure for high-performance, low-latency inference services.
•Deploy and configure Kubernetes services for scalable, reliable inference workloads.
•Optimize resource allocation and autoscaling policies to handle variable demand and reduce operational costs.
•Build Python-based scripts and APIs for data preprocessing, inference execution, and post-processing.
•Ensure availability and fault tolerance via multi-region deployments and disaster recovery, and triage production defects using logs, metrics, and distributed traces.

Key Requirements

•Master's degree (or foreign equivalent) in Computer Science or a related field.
•1+ year of experience as a Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or related role.
•Experience gained before, during, or after graduate studies is accepted on a full-time or equivalent part-time basis.
•Docker and Kubernetes experience.
•Proficiency with at least Java or C++, plus experience with ActiveMQ and Kafka, Python or Groovy, JavaScript or TypeScript, Linux, SQL/OracleDB/Redis, and Git.

Experience:1+ yearsAIMachine learningInference infrastructureCloud inferenceDistributed systems

Education:Master's in Computer Science (or related field)

Skills:Cross-functional collaborationTroubleshootingDocumentationPerformance optimizationDebugging

Tech Stack:KubernetesDockerPythonGroovyJavaC++JavaScriptTypeScriptLinuxSQLOracleDBRedisActiveMQKafkaGitJiraAPIsJenkinsDistributed tracesMetrics

Company Brief

Cerebras

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn