Jobs / Sam***
Senior Engineer, Machine Learning Application Developer
Sam*** · San Jose, CA, United States
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San Jose, CA, United States124,000-208,400 USD/yearlyOnsite
Remuneration
124,000-208,400 USD/yearly
Location
San Jose, CA, United States
Visa sponsorship
Sponsors visa
Job summary
Position Summary Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all.
Benefits
Additionally, this role might be eligible to participate in long term incentiveThis is an exempt position, which is not eligible for overtime pay under the FaiExport ControlThis position requires the ability to access information subject to U.Export control restrictions.Trade SecretsSARC #ACLPlease visit Samsung membership to see Privacy Policy, which defaults accordingYou can change Country/Language at the bottom of the page.Samsung Electronics America, Inc.
Qualifications
- 3+ years of experience with a Bachelor's Degree in Computer Science, Computer Engineering, or comparable field, or 2+ years of experience with a Master’s Degree, or Ph.
- Strong programming
- experience, and work location.
- Samsung employees have access to
Responsibilities
- As a Machine Learning Application Developer, you will develop neural rendering applications and machine learning (ML) software that enable efficient execution of AI workloads on Samsung’s premium mobile GPUs.
- In this individual contributor role, you will contribute to the development of software solutions that bridge machine learning workloads and GPU hardware capabilities.
- Working closely with hardware, software, and architecture teams, you will help optimize performance, efficiency, and resource utilization to support next-generation intelligent computing experiences.
- You analyze software performance and hardware resource utilization to identify bottlenecks and optimize application performance, efficiency, and scalability across a variety of ML workloads.
- You proactively seek collaborations with GPU architects, software engineers, and hardware teams to understand underlying hardware constraints and translate performance insights into optimized software solutions.
- You leverage low-level performance analysis techniques, including assembly-level investigation when needed, to help improve execution efficiency and maximize GPU utilization.
- You take initiatives on moderate-to-complex projects and help advance best practices and methodologies by staying current with the latest advancements in machine learning, neural rendering, and GPU
Skills
Communication
Degrees
AssociateBachelorDegreePhD
Languages
Arabic
Work schedule
Overtime
Industry
AutomotiveEducationInsurancePublic-sector
Company size
SmbStartup
Contract length
6 months
Security clearance
ConfidentialSecret
Relocation
Yes