Senior/Staff- Engineer: Post Silicon- Bring Up
$175,000–$275,000 year
On-site · Toronto, Ontario, Canada or Bengaluru, Karnataka, India
Job Summary
Bring up and optimize Cerebras Wafer Scale Engine (WSE) and related production flows. Develop end-to-end deployment and optimization capabilities across hardware and software, working closely with chip design, system performance, software development, and productization teams. Improve AI system performance within hardware constraints (di/dt, V-F characterization, current/temperature limits); enhance silicon-for-real-world workload testing infrastructure; build self-checking metrics and instrumentation for debugging and coverage. Collaborate with silicon architects/designers, performance engineers, and software engineers to boost Wafer Scale Engine performance. Engage across domains (Software, Design, Verification, Emulation & Validation) to refine and optimize performance, and integrate CI/CD tooling (git repositories, GitHub, Git actions/Jenkins, release workflows) to streamline test and release. Location-based teams span Sunnyvale, Bengaluru, and Toronto. Applicants should demonstrate strong coding (Python, Verilog/SystemVerilog, C), hardware/software co-design, debugging, large-scale testing/automation, and excellent cross-functional communication.
Required Qualifications
- BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS or equivalent work experience
- 7-10+ years of industry experience
- 3-5 years of experience in Pre-silicon & Post Silicon ASIC hardware
- Good understanding of computer architecture and networking
- Excellent Coding in languages such as Python/Verilog/System Verilog and C
- Proficient in hardware/software codesign and layered architectures
- Excellent debugging, analytical, and problem-solving skills
- Proficient in large scale testing and automation using pytest and python
- Good presentation skills to refine diverse information and put forth optimization strategies and results
- Good interpersonal skills, ability & desire to work as a standout colleague
- Proven track record of working cross-functionally learning fast and driving issues to closure
- Familiarity with in-line testing and diagnostics using CPU memory and execution with self-checking
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