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Network Systems Integration Engineer - Data Center Hardware

Apple

Network Systems Integration Engineer - Data Center Hardware

Apple

Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Parental leave

Flexible work arrangements

Team events and activities

Healthcare

Parental Leave

Flexible Hours

Required Skills

Python

JavaScript

React

Network Systems Integration Engineer

  • Data Center Hardware

3 weeks ago• Sunnyvale, CA
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About Us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees

Industry: Technology, Information Technology, Software, Consumer Goods & Services

As a Network Systems Integration Engineer, you will build and maintain the critical infrastructure that enables our hardware innovation. Your primary mission is to provide robust, hands-on support for our data center development labs, ensuring our electrical, validation, and cross-functional hardware engineering teams have a reliable and performant environment. This requires a strong foundation in systems integration and network architecture, applied through daily tasks such as configuring switches, provisioning systems, and automating operational workflows with custom scripts. Come join us, soon!

Description:

Leveraging your deep expertise in server platform integration and high-performance networking, you will architect, deploy, and sustain the complex lab infrastructure essential for validating next-generation compute platforms. Your responsibilities will include the end-to-end management of high-bandwidth fabrics, lossless interconnects, and out-of-band networks. In this highly collaborative role, you will partner with cross-functional organizations-including Hardware Engineering, Operations, Security, and Systems Validation-to guarantee the readiness, performance, and reliability of our dynamic R&D environment.","responsibilities": "Preferred Qualifications

M.S. Degree with minimum 3-5 years experience.

Proven experience designing, configuring, and validating RoCEv2 (RDMA over Converged Ethernet) fabrics. This must include hands-on work with Priority Flow Control (PFC) and Explicit Congestion Notification (ECN) on data center switches.

Deep expertise in configuring and tuning the Linux network stack for high-performance workloads, including direct experience with RDMA drivers (e.g., NVIDIA OFED), kernel bypass methods, and optimizing network performance through CPU affinity and interrupt handling.

Demonstrated ability to root-cause performance bottlenecks across the entire stack. This includes using tools to measure and analyze application-level throughput, RDMA-level latency and correlating it with system metrics (CPU, memory) and network-level statistics (packet drops, PFC pause frames).

Experience troubleshooting elusive integration issues that manifest as network problems, but originate in server hardware or firmware. This includes debugging interactions between BIOS/UEFI settings, PCIe lane allocation, NIC firmware and OS driver behavior.

Experience using Ansible or Python to configure multi-vendor switch fabrics, deploy custom OS images via PXE and run automated test suites to validate fabric health and performance.

Minimum Qualifications:

BS Degree in engineering with 4-8 years relevant work experience

Strong command of network design principles and engineering practices, including the implementation and management of core L2/L3, routing protocols, VLAN segmentation, and Quality of Service (QoS) in high-bandwidth Ethernet environments.

Hands-on experience architecting and stress-testing high-performance, lossless fabrics. Proven ability to validate and benchmark network behavior, meticulously analyzing throughput, latency, and congestion patterns within complex, multi-rack deployments.

Proficient in optimizing Linux systems through kernel tuning and NIC driver configuration. Leverages Python, Bash, and Ansible to automate infrastructure provisioning, configuration management, and validation workflows, enhancing efficiency and repeatability.

Acknowledged for exceptional troubleshooting acumen, with a demonstrated ability to diagnose and resolve multifaceted performance, connectivity, and integration challenges by systematically isolating faults across the entire hardware and software stack.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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Client-provided location(s): Sunnyvale, CA

Job ID: apple-200633188-3956_rxr-660

Employment Type: OTHER

Posted: 2026-01-07T19:13:48
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Parental Benefits

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Industrial Designer L2

0 reports

$320,450

total / year

Base

$128,180

Stock

$160,225

Bonus

$32,045

$224,315

$416,585

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit