Senior Engineer: Post Silicon - Bring Up

Cerebras
Bengaluru
Workplace: OnsiteFull timeUSD 175,000 - 275,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 7-10 yearsEducation: bachelorsSkills: ["Debugging","Analytical thinking","Problem-solving","Cross-functional collaboration","Communication"]

Own bring-up and optimization of the Wafer Scale Engine (WSE), developing and debugging deployable flows that improve performance while reducing time and cost. Refine AI system performance within hardware/software constraints (e.g., di/dt and characterization limits), build infrastructure for real workload testing, and create self-checking metrics and instrumentation for debug and coverage. Collaborate across hardware, verification, emulation, and software teams, and streamline test/release using CI/CD and version control.

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FursaFursa
Cerebras
Cerebras
7 months ago

Senior Engineer: Post Silicon - Bring Up

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Own bring-up and optimization of the Wafer Scale Engine (WSE), developing and debugging deployable flows that improve performance while reducing time and cost. Refine AI system performance within hardware/software constraints (e.g., di/dt and characterization limits), build infrastructure for real workload testing, and create self-checking metrics and instrumentation for debug and coverage. Collaborate across hardware, verification, emulation, and software teams, and streamline test/release using CI/CD and version control.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Develop and debug production deployable optimization flows on Wafer Scale Engines to reduce time and costs.
  • •Refine AI system performance within H/W-S/W design constraints (e.g., di/dt, V-F characterization, current/temperature limits).
  • •Develop and enhance infrastructure for real workload silicon testing.
  • •Create self-checking metrics and instrumentation to support debug and coverage.
  • •Collaborate across silicon architecture/design, performance engineering, and software to improve Wafer Scale Engine performance; streamline test and release using CI/CD and version control.

Pay and Benefits

Salary: USD 175,000 - 275,000 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS (or equivalent experience).
  • •7-10+ years of industry experience.
  • •3-5 years of experience in pre-silicon and post-silicon ASIC hardware.
  • •Excellent coding skills in Python, Verilog, System Verilog, and C.
  • •Proficient in large-scale testing and automation using pytest and Python.
Experience:7-10 yearsAI-MLASIC hardware
Education:Bachelor's in EE, ECE, CS
Skills:DebuggingAnalytical thinkingProblem-solvingCross-functional collaborationCommunication
Tech Stack:PythonVerilogSystem VerilogCPytestGitGitHubGit ActionsJenkinsCI/CD

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
WebsiteLinkedIn