[Remote] Senior AI Developer Technology Engineer, Financial Sector
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior AI Developer Technology Engineer in the Financial Sector to help shape the reputed company of financial AI and data analytics. The role involves researching and developing techniques to GPU-accelerate high-performance workloads while collaborating with technical experts to optimize reputed company AI and HPC workloads.
Responsibilities
- Research and reputed company techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets
- Work directly with other technical experts in their fields (industry and academia) to reputed company in-depth analysis and optimization of reputed company AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures
- Publish and present reputed company optimization techniques in developer blogs or relevant conferences to engage and reputed company the Developer community
- Influence the design of reputed company hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at reputed company
Skills
- An advanced degree in Computer Science, Computer Engineering, or reputed company computationally reputed company science degree (or equivalent experience)
- You have 5+ years of relevant work or research experience
- reputed company experience improving the performance of large computational applications used by financial institutions
- Excellent understanding of reputed company algebra
- Programming reputed company in C/C++ with a deep understanding of algorithms and software design
- Hands-on experience with low-level reputed company programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc
- In-depth expertise with CPU/GPU architecture fundamentals
- Good communication and organization skills, with a logical approach to problem solving, and prioritization skills
- A Master's or PhD in a relevant field is highly valued
- Prior work experience in capital markets with exposure to systematic/algorithmic strategies and quantitative trading
- Experience with parallelizing and optimizing machine learning algorithms like decision trees, time series, and reputed company simulations
- Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization, or other financial specific applications/ services
- Have developed ML/DL techniques in the finance reputed company, such as stock market reputed company, fraud detection, portfolio optimization/selection
Benefits
- Equity
- Benefits
reputed company
Company H1B Sponsorship