採用
必須スキル
Kubernetes
Terraform
Company:
Qualcomm India Private Limited:
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
Overview
Qualcomm is seeking an experienced engineer to lead the design, development, and deployment of rack management software for AI accelerator products in** data center environments**. This role spans provisioning, monitoring, orchestration, and lifecycle management across heterogeneous hardware and software stacks.
Key Responsibilities
- Architect and implement software solutions for rack‑level provisioning, monitoring, and workload deployment, integrating seamlessly with orchestration platforms such as Kubernetes, Terraform, and Foreman.
- Develop, enhance, and validate server‑side BMC manageability features, including Redfish‑based REST interfaces, IPMI command handling (sensor data, FRU, SDR, SEL, OEM), and system‑level diagnostics.
- Interface with rack hardware components—BMC, PDU, CDU, PCIe switches, and multi‑SoC platforms—using Redfish, SNMP, IPMI, and other management protocols.
- Build and maintain automated, scalable telemetry pipelines and dashboards using Prometheus, Grafana, and internal monitoring frameworks.
- Design and implement JSON‑based automation scripts for configuration, validation, regression execution, and rack‑level test orchestration.
- Debug and validate I²C‑based sensor communication (EEPROM, power/voltage/temperature monitors, muxes) and support board bring‑up/debug for Ultra+ and multi‑SoC AI hardware.
- Support firmware updates, crash dump analysis, remote diagnostics, and cross‑component issue triage across rack‑level infrastructure.
- Collaborate with APPS FW, silicon teams, kernel developers, ODMs, ISVs, and cross‑functional internal teams to deliver robust and scalable platform management solutions.
- Ensure security and compliance across rack infrastructure, including secure boot, VLAN isolation, and QoS enforcement for multi‑tenant environments.
- Contribute to software EBOM, system diagrams, design documents, protocol specifications, and documentation for internal and partner consumption.
- Build and maintain a unified rack management dashboard consolidating health, performance, orchestration status, and telemetry.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
- 5+ years of experience in infrastructure software development.
- Experience with Redfish APIs and DCIM tools (e.g., Sunbird, Schneider Electric).
- Familiarity with Foreman, Ansible, Chef, and Puppet for provisioning and configuration.
- Strong understanding of server hardware, networking, and storage systems.
- Excellent problem-solving and cross-functional collaboration skills.
Preferred Qualifications
- Experience with OpenBMC tools like Gigabyte Pod Manager.
- Knowledge of AI workload orchestration tools (e.g., Kubeflow, K8s).
Exposure to scalable telemetry systems and log aggregation pipelines.
- Familiarity with rack-level lifecycle management.
- Proficiency in Python, C++, and shell scripting.
Minimum Qualifications:
-
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. -
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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Qualcommについて

Qualcomm
PublicInventing the technologies the world loves.
10,001+
従業員数
San Diego
本社所在地
$136B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
3.2
キャリア
3.8
経営陣
2.5
65%
友人に勧める
良い点
Good benefits and compensation
Challenging and interesting work
Great team and colleagues
改善点
Management and leadership issues
Work-life balance concerns
Toxic culture/micromanagement
給与レンジ
21件のデータ
Junior/L3
Junior/L3 · Data Scientist
0件のレポート
$196,000
年収総額
基本給
$150,000
ストック
$33,000
ボーナス
$13,000
$166,600
$225,400
面接体験
9件の面接
難易度
2.6
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
ニュース&話題
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