Senior/Staff Engineer : Post Silicon- Bring Up

Cerebras Systems, Inc.; Sunnyvale (CA); On-site; USD 175,000 - 275,000; Full time

Benefits offered by this job

Diversity and inclusion initiatives

Continuous learning and growth opportunities

Job summary

Cerebras Systems, Inc. is seeking a specialist to optimize their Wafer Scale Engine (WSE). This role involves close collaboration across chip design, software development, and productization to deliver end-to-end solutions.

The ideal candidate will have a strong educational background in EE, ECE, or CS and extensive experience in ASIC hardware. At Cerebras, you will be part of a groundbreaking team pushing the boundaries of AI technology.

Competitive salary and a commitment to diversity make this a unique opportunity.

Qualifications

• 7-10+ years of industry experience.
• 3-5 years of experience in pre-silicon & post-silicon ASIC hardware.
• Proficient in hardware/software codesign and layered architectures.

Responsibilities

• Develop and debug flows for Wafer Scale Engines to optimize production processes.
• Refine AI systems based on hardware-software design constraints.
• Develop infrastructure for workload testing on silicon.

Skills

Python

Verilog/SystemVerilog

C

Computer architecture

Networking

Debugging

Large-scale testing

Automation using pytest

Education

BS/BE/B.Tech or MS/M.Tech in EE, ECE, CS

Tools

GitHub

Jenkins

Job description

Role

In this exciting role, you will be responsible for bringing up and optimizing Cerebras’s Wafer Scale Engine (WSE). Suitable candidates will have experience delivering end‑to‑end solutions working closely with teams across chip design, system performance, software development, and productization.

Responsibilities

• On Wafer Scale Engines, develop and debug flows that embed well‑tested and deployable optimizations in production processes to reduce time and costs
• Work on refining AI systems across hardware‑software design constraints such as di/dt, V‑F characterization space, current and temperature limits in relation to optimizations for performance
• Develop/Enhance infrastructure to enable silicon for real‑world workload testing
• Develop self‑checking metrics, as well as instrumentation for debug and coverage
• Work with silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines
• Work across domains such as Software, Design, Verification, Emulation & Validation to refine and optimize performance and process
• Work with CI/CD tools, git repositories, GitHub, GitHub Actions/Jenkins, merge and release flows to streamline test and release

Skills & 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/SystemVerilog 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

Preferred

• Previous work in AI‑ML with 100+ CPU core & communication fabric–based design
• Familiarity with in‑line testing and diagnostics using CPU memory and execution with self‑checking
• Knowledge of chip defect profiles and mitigation strategies across the hardware and software stack
• Familiarity in creating test and software infrastructure at large scale
• Working across global time zones

Location

Sunnyvale, California.

Bangalore, India

Toronto, Canada

The base salary range for this position is $175,000 to $275,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

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:

1. Build a breakthrough AI platform beyond the constraints of the GPU
2. Publish and open source their cutting‑edge AI research
3. Work on one of the fastest AI supercomputers in the world
4. Enjoy job stability with startup vitality
5. Our simple, non‑corporate work culture that respects individual beliefs

Find out more about what it's like to work at Cerebras.

Apply Today

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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