On‑Device ML Systems, Runtime & Performance Engineers

⚙️ Qualcomm — On‑Device ML Systems, Runtime & Performance Engineers

Location: San Diego, CA
Company: Qualcomm Technologies, Inc.
Team: Qualcomm AI Research / Machine Learning Engineering

About Qualcomm

Qualcomm designs the AI platforms and accelerators that power next‑generation computing across mobile, automotive, XR, and IoT. Our teams work at the boundary of hardware and software, enabling AI models to run efficiently under strict power and performance constraints.

About the Opportunity

These roles focus on low‑level ML systems, runtimes, and performance optimization, ensuring AI models run efficiently on CPU, GPU, and NPU hardware. Engineers collaborate closely with AI processor teams and see their work directly impact commercial products.

Candidates may apply to one or more roles based on interest and background.

Roles Available (Apply Directly)

1) Staff Engineer, Machine Learning Engineering (On‑device Software)

Develop embedded ML software to run quantized neural networks efficiently on Qualcomm AI hardware.

Minimum Qualifications

• BS/MS/PhD in CS, Engineering, or related field
• 2+ years of software, systems, or ML engineering experience

Preferred Qualifications

• C/C++ and Python
• PyTorch
• Quantization or AI accelerator experience

💰 Salary: $158,400 – $237,600
🔗 Apply: https://careers.qualcomm.com/careers/job/446716001492

2) Sr Engineer, Machine Learning Engineering (Heterogeneous SW, Adreno GPU)

Optimize ML and GenAI workloads across CPU, GPU, and NPU platforms.

Minimum Qualifications

• BS/MS/PhD in CS, Engineering, or related field
• 2+ years of software or systems experience

Preferred Qualifications

• GPU/NPU or heterogeneous compute
• LLM or GenAI optimization
• OpenCL or ML accelerators

💰 Salary: $140,800 – $211,200
🔗 Apply: https://careers.qualcomm.com/careers/job/446715168008

3) Sr Engineer, Machine Learning (On‑device Learning Software)

Enable on‑device model training and fine‑tuning, improving ML runtimes and kernels.

Minimum Qualifications

• BS/MS/PhD in CS, Engineering, or related field
• 2+ years of relevant experience

Preferred Qualifications

• C/C++ and Python
• PyTorch training workflows
• On‑device learning or optimization

💰 Salary: $140,800 – $211,200
🔗 Apply: https://careers.qualcomm.com/careers/job/446716557350