Lead Engineer Senior AI Data Center Security Work

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  
  
  

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
  
  
  

Job Title: Data Center Platform Security Engineer

Job Requisition: 3092097 Lead Engineer Senior

Location: Bangalore

About The Role

We are looking for a Senior Lead Engineer to join the team.

The role is responsible for driving secure design, architecture, and implementation reviews for data center focused SoC platforms such as AI inference accelerators, ASICs, and CPUs.

The focus is on identifying design gaps early, enforcing security best practices, and ensuring strong end to end protection across firmware, infrastructure, and applications.

Key Responsibilities

Security Review Threat Modeling and Secure Implementation:

Perform end to end security reviews across architecture, design, and implementation layers.

Conduct security focused code reviews to find vulnerabilities and provide clear fixes aligned with secure coding practices.

Platform Security Design For AI And Data Center Systems

Design and review security for Root of Trust (RoT), secure boot, attestation, and recovery flows.

Evaluate and strengthen firmware, boot chains, debug interfaces, and out of band management components.

Ensure correctness and integrity of cryptographic measurements, identities, and trust anchors.

Security Architecture Standards Compliance And System Hardening

Define and review secure design patterns aligned with standards such as OpenBMC, UEFI, SPDM, PLDM, and confidential computing.

Ensure strong authentication and encryption while following least privilege and reducing attack surface across the system lifecycle.

Required Experience And Skills

6-8+ years of experience with a Bachelor’s or Master’s degree in a related field.

Strong background in data center security, confidential computing, BMC, SPDM, PLDM, and Open Compute standards.

Deep understanding of ARM security concepts such as TrustZone, exception levels, XPUs, SMMU, secure and non-secure execution, and confidential computing architecture.

Experience in firmware, Linux, and hypervisor (primarily KVM) security including VM isolation.

Strong skills in security architecture, threat modeling, and system level vulnerability analysis.

Good understanding of modern data center systems including CPUs, ASICs, AI accelerators, networking, and overall rack level system integration/deployment.

Knowledge of cryptography, secure boot, attestation, and secure communication.

Experience with server or AI stacks, firmware security, and full product lifecycle security.

Ability to analyze complex systems and convert findings into clear engineering actions.

Experience with server software stack and AI inference accelerator stack is highly preferred.

Experience with AI techniques (such as creation of Agents, MCPs, Skills development, etc.) for code review, fuzzing, and vulnerability detections is highly preferred.

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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