Full-Time

Network and Server Performance Test Engineer

Confirmed live in the last 24 hours

Cerebras

Cerebras

201-500 employees

Develops AI acceleration hardware and software

Data & Analytics
Enterprise Software
AI & Machine Learning

Mid, Senior

Sunnyvale, CA, USA

Category
QA & Testing
Performance Testing
Quality Assurance
Required Skills
TCP/IP
Python
Linux/Unix

You match the following Cerebras's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Four to eight years of experience in Software Development, Quality Assurance, System Test of Switches and Routers at a Networking equipment vendor.
  • Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or related majors with focus on Networking or Computer System Architecture.
  • Understanding of RDMA congestion control mechanisms on InfiniBand and RoCE Networks.
  • Must have deep understanding of networking protocols TCP/IP, BGP, PFC, ECN, QoS, MLAG, ECMP, and VRF.
  • Experience with computer system architecture, especially on CPU SoC or Platform Architecture, Interconnect Fabric, and Memory sub-system.
  • Experience designing and implementing large switching and routing networks.
  • Expertise in Linux tools such as lspci, ping, traceroute, tcpdump, ifconfig, ip link, ip route, arp, /proc/net, /proc/sys/net, vmstat, netstat, ttcp, iperf, strac, memtest, fio, ozone, and iometer.
  • Strong technical abilities, problem-solving, design, coding, and debugging skills.
  • Must be proficient in python. Strong python coding experience is a must.
  • Proficient in Networking Test Tools like IXIA and Spirent SmartBits.
Responsibilities
  • Manage and optimize end to end network performance of complex AI infrastructure including Servers and Switches.
  • Evaluate and recommend Servers, Switches and Router for next generation infrastructure, with focus on performance and cost improvement.
  • Identify experiments, tools, and methodology to test networking equipment for network performance and network traffic engineering.
  • Design and setup test beds to exercise and evaluate vendor equipment from Arista, Juniper, Cisco, Dell, HPE.
  • Work with architects, software engineers to create test cases, write test scripts, execute tests, and document results of evaluation of solution from different vendors.
  • Recommend most optimize configurations to AI infrastructure deployment teams.
  • Troubleshoot, isolate, and drive issues to resolution through partnerships with other teams and server/network equipment vendors.
  • Provide solutions for efficient networking design for AI infrastructure.

Cerebras Systems specializes in accelerating artificial intelligence (AI) processes with its CS-2 system, which is recognized as the fastest AI accelerator available. This system replaces traditional clusters of graphics processing units (GPUs) used in AI computations, simplifying the complexities of parallel programming and cluster management. Cerebras serves a variety of clients, including major pharmaceutical companies and government research labs, providing them with faster results essential for critical applications like cancer drug response predictions. The company operates in the high-performance computing and AI markets, generating revenue through the sale of its proprietary hardware and software solutions, including the CS-2 systems and related cloud services. Cerebras aims to enhance the efficiency of AI training and inference, ultimately reducing the costs associated with AI research and development.

Company Stage

Series F

Total Funding

$700.4M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-5%

2 year growth

-9%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing AI model efficiency demand aligns with Cerebras' energy-efficient accelerators.
  • AI democratization increases need for user-friendly systems like Cerebras' CS-2.
  • Pharmaceutical industry's push for faster drug discovery boosts demand for Cerebras' technology.

What critics are saying

  • Competition from NVIDIA and Graphcore could impact Cerebras' market share.
  • Rapid AI model evolution may necessitate frequent hardware updates, increasing R&D costs.
  • Supply chain vulnerabilities could delay production of Cerebras' hardware.

What makes Cerebras unique

  • Cerebras' Wafer-Scale Engine is the largest chip ever built for AI.
  • The CS-2 system replaces traditional GPU clusters, simplifying AI computations.
  • Cerebras serves diverse industries, including pharmaceuticals and government research labs.

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Benefits

Professional Development Budget

Flexible Work Hours

Remote Work Options

401(k) Company Match

401(k) Retirement Plan

Mental Health Support

Wellness Program

Paid Sick Leave

Paid Holidays

Paid Vacation

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Childcare Support

Elder Care Support

Pet Insurance

Bereavement Leave

Employee Discounts

Company Social Events