Full-Stack ML Engineer for AI Inference at Scale
Qualcomm
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
Qualcomm in Al Khobar is seeking a Full-Stack Machine Learning Engineer to bridge AI solutions development and platform engineering. You will work on end-to-end AI services and optimize APIs for AI inference workloads.
The ideal candidate has substantial software engineering experience, strong programming skills, and hands-on expertise with Kubernetes. Benefits include a housing and transport allowance and generous parental leave policies.
Qualifications
- 5+ years of software engineering experience; 3+ years in ML or HPC environments.
- Deep understanding of data structures and algorithms in distributed systems.
- Practical experience with LLM runtimes and agent frameworks.
Responsibilities
- Build and optimize API serving layers for AI inference workloads.
- Develop intelligent agents and retrieval‑augmented generation workflows.
- Implement production‑grade bring‑your‑own‑model and fine‑tuning flows.
Skills
Education
Tools
Job description
Qualcomm in Al Khobar is seeking a Full-Stack Machine Learning Engineer to bridge AI solutions development and platform engineering. You will work on end-to-end AI services and optimize APIs for AI inference workloads.
The ideal candidate has substantial software engineering experience, strong programming skills, and hands-on expertise with Kubernetes. Benefits include a housing and transport allowance and generous parental leave policies.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
