Drive efficient serving through smart autoscaling, load balancing and routing.
Engage with open-source serving communities to evolve the framework.
Candidates for this position will demonstrate the following
Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.
Strong experience in developing language models using PyTorch.
Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.
Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
Strong Python development skills for large-scale projects with passion for software engineering.
Experience in analyzing, profiling, and optimizing deep learning workloads.
Proactive learning about the latest inference optimization techniques.
Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
Bonus Skills
Open-source contribution to any GenAI package.
Experience architecting and developing large-scale distributed systems.
High-level kernel design experience (PyTorch, CUDA, Triton).
Knowledge of torch.compile or torchDynamo
PhD in Computer Science, Computer Engineering or Machine Learning
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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Pay range and Other Compensation & Benefits
$162,000.00 - $243,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
