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Data Center AI HW SPT BDC

at Qualcomm

Back to all Data Science / AI / ML jobs
Qualcomm logo
Industry not specified

Data Center AI HW SPT BDC

at Qualcomm

GraduateNo visa sponsorshipData Science/AI/ML

Posted 17 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
San Diego
Country
United States

**Senior Data Center AI Hardware Specialist (AI H/W SPT BDC)** leads AI infrastructure development, collaborating with cross-functional teams to deliver cutting-edge AI solutions. **Key responsibilities** include designing and implementing AI-focused hardware, performance testing, and driving data center optimization. **Required skills** include proficient Python, experienced in AI hardware, and strong knowledge of AI frameworks (e.g., TensorFlow, PyTorch). Must have **5+ years** in AI hardware/software development and a **Bachelor's degree** in a relevant field. **Utilize** tools like AWS EC2, GPUs, and ASICs, contribute to whitepapers, and mentor junior team members. **Optimize** AI performance, minimize data center footprint, and drive innovation in AI hardware.

No additional description provided.

Data Center AI HW SPT BDC

at Qualcomm

Back to all Data Science / AI / ML jobs
Qualcomm logo
Industry not specified

Data Center AI HW SPT BDC

at Qualcomm

GraduateNo visa sponsorshipData Science/AI/ML

Posted 17 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
San Diego
Country
United States

**Senior Data Center AI Hardware Specialist (AI H/W SPT BDC)** leads AI infrastructure development, collaborating with cross-functional teams to deliver cutting-edge AI solutions. **Key responsibilities** include designing and implementing AI-focused hardware, performance testing, and driving data center optimization. **Required skills** include proficient Python, experienced in AI hardware, and strong knowledge of AI frameworks (e.g., TensorFlow, PyTorch). Must have **5+ years** in AI hardware/software development and a **Bachelor's degree** in a relevant field. **Utilize** tools like AWS EC2, GPUs, and ASICs, contribute to whitepapers, and mentor junior team members. **Optimize** AI performance, minimize data center footprint, and drive innovation in AI hardware.

No additional description provided.

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