Thinking Machines Lab

4 weeks ago

Reliability Engineer, Supercomputing

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Engineer the reliability backbone of a GPU supercomputing fleet, owning hardware-software interfaces across drivers, kernel surface, and OS. Diagnose, reproduce, and remediate hardware issues at scale; automate fleet monitoring; drive firmware lifecycle and coordinate with vendors to implement real fixes for researchers running large-scale AI experiments.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Investigate, reproduce, and remediate issues across large GPU clusters.
•Own the drivers, kernel surface, and diagnostics that span hardware, firmware, and OS.
•Automate the monitoring of fleet reliability and analyze error rates to validate fixes.
•Drive the firmware lifecycle: tracking, qualification, staged rollout, and regression analysis.
•Engage vendors directly and manage RMA flows when hardware needs to come out.

Pay and Benefits

Salary: USD 350,000 - 475,000 annually

Perks:Health InsuranceDentalVisionPaid LeaveRelocationParental Leave

Key Requirements

•Bachelor’s degree or equivalent experience in computer science, engineering, or similar
•Proficiency in at least one backend language (Python or Rust)
•Experience operating large-scale clusters and container orchestration systems (Kubernetes or Slurm)
•Comfort operating across the stack and owning projects end-to-end
•Thrive in a highly collaborative environment with cross-functional partners

Experience:AIGPU computingHardware reliability

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solvingInitiativeWriting

Languages:English

Tech Stack:PythonRustKubernetesSlurmLinuxGPUNVLinkNVSwitchDCGMBMCIPMIRedfish

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab

Develops enterprise AI solutions, custom large language models, and ML platforms to help organizations deploy intelligent applications. Services include data engineering, model development, and AI consulting for scale and production readiness.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Mumbai, India

Website

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Thinking Machines Lab

4 weeks ago

Reliability Engineer, Supercomputing

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Investigate, reproduce, and remediate issues across large GPU clusters.
•Own the drivers, kernel surface, and diagnostics that span hardware, firmware, and OS.
•Automate the monitoring of fleet reliability and analyze error rates to validate fixes.
•Drive the firmware lifecycle: tracking, qualification, staged rollout, and regression analysis.
•Engage vendors directly and manage RMA flows when hardware needs to come out.

Pay and Benefits

Salary: USD 350,000 - 475,000 annually

Perks:Health InsuranceDentalVisionPaid LeaveRelocationParental Leave

Key Requirements

•Bachelor’s degree or equivalent experience in computer science, engineering, or similar
•Proficiency in at least one backend language (Python or Rust)
•Experience operating large-scale clusters and container orchestration systems (Kubernetes or Slurm)
•Comfort operating across the stack and owning projects end-to-end
•Thrive in a highly collaborative environment with cross-functional partners

Experience:AIGPU computingHardware reliability

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solvingInitiativeWriting

Languages:English

Tech Stack:PythonRustKubernetesSlurmLinuxGPUNVLinkNVSwitchDCGMBMCIPMIRedfish

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Mumbai, India

Website