【內湖】(Data Center) ODM UEFI/BIOS Engineer (3083423)

【Talents who apply job through Qualcomm Career Website will be reviewed and considered as top priority】

Please apply directly on Qualcomm Career Site via link below, and attach your English resume for further review. Thank you!

https://careers.qualcomm.com/careers/job/446715840529

【General Summary】

Qualcomm is seeking a highly motivated and innovative ODM UEFI/BIOS Engineer to join our Cloud AI Inference Solutions team. In this role, you will collaborate with world-class hardware and software engineers, ODMs to design, implement, and optimize system-level software for cutting-edge AI inference platforms. Your work will directly impact performance, power efficiency, and reliability across a wide range of Qualcomm products to large-scale datacenter deployments.

【Responsibilities】

Design and Develop: Implement and optimize kernel-mode and low-level software features for Qualcomm AI inference solutions, ensuring high performance and robustness.
Bring-Up and Validation: Coordinate and work for initial power-on, board bring-up, and functional validation of AI platforms
System Integration: Collaborate with hardware, firmware, and software teams to ensure seamless integration
Debug and Optimize: Perform system-level debugging, root cause analysis, and performance tuning for complex AI workloads.
Firmware and BMC and security: Develop and validate firmware components, ensuring compliance with security standards (cryptography, attestation, chain of trust).
Cross-Functional Collaboration: Work closely with ODM and global SW/HW teams

【REQUIRED EXPERIENCE】

Education:
BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.

Experience:
5-10 years of software development experience in AI system-level programming.
Strong proficiency in C/C++; scripting experience in Python is a plus.
Hands-on experience with Linux kernel internals, device drivers, and embedded systems.
Familiarity with ARM architecture; knowledge of x86 is a strong plus.

Technical Skills:
Deep understanding of AI architecture (caches, buses, DMA, memory controllers).
Experience with UEFI/BIOS, secure boot, and firmware development.
Knowledge of industry standards: PCIe, SPI, I2C, and management protocols (PLDM, MCTP, SPDM).
Exposure to AI frameworks (TensorFlow, PyTorch) and large-scale inference systems.
Experience on develop and bring-up for sophisticated AI architectures like GB200/300 NVL72 is Plus.

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.