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Machine Learning Software Engineer - GPU/CUDA

Location : New York NY US 10103
Job Type : Direct
Reference Code : 19633-JT1
Compensation : 135000.00 - 175000.00 USD/YEAR
Hours : Full Time
Required Years of Experience : 5
Required Education : BS Computer Engineering
Travel : No
Relocation : No
Job Industry : Engineering

Job Description :

Permanent position for a Machine Learning Software Engineer - GPU/CUDA for high throughput, low latency financial data analysis.
Position is with an international financial trading company working in a team-based R&D lab environment.
This is a high-visibility, leading-edge position which will involve high-performance computing and hardware acceleration using FPGAs, GPUs, low-latency stacks, etc.

Primary responsibilities will include:
- GPU/CUDA development using C++ and python.
- Hardware acceleration using GPGPUs and FPGAs.
- Linux kernel tuning and network hardware latency optimization.
- Working within a team-oriented, R&D lab environment

Salary will be commensurate with experience.

Required Qualifications :

BS or MS in computer engineering, computer science or similar.
5+ years of systems development experience, primarily Linux/UNIX.
Sound understanding of GPU microarchitecture.
Heavy experience with CUDA and parallel computing.
Embedded C/C++ a big plus.
Experience with machine learning frameworks including Tensorflow or similar is highly desired.


Contact: John Terkovich

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Date Posted: 03/05/19



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