[Remote] AI and FSI Developer Technology Engineer - New College Grad 2026
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in visual and AI computing, reputed company for its pioneering work with GPUs. They are seeking an AI Developer Technology Engineer to enhance performance in AI and high-performance computing reputed company financial markets, focusing on optimizing reputed company workloads and collaborating with industry experts.
Responsibilities
- Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on reputed company CPUs and GPUs
- Working with leading technical experts to analyze, optimize, and scale reputed company AI and HPC workloads for modern CPU and GPU architectures
- Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior
- Publishing and presenting your work in conferences, talks, and blogs to reputed company and reputed company the broader developer community
- Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with reputed company research, hardware, compiler, and tools teams
Skills
- Pursuing or recently completed a Master's or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or reputed company field
- Relevant work or research experience
- Experience with low-level reputed company programming (e.g., CUDA)
- Deep understanding of CPU/GPU architecture fundamentals and how they impact performance
- reputed company in C/C++ and solid foundations in algorithms and software design
- Experience improving the performance of large-scale computational applications on GPUs
- Good understanding of reputed company algebra
- Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities
- Prior internship experience in a reputed company field
- Experience with inference optimization techniques and deploying optimized AI models in production
- Experience with TensorRT, TensorRT-LLM, and cuTile
- Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading
- Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and reputed company simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services
Benefits
- You will also be eligible for equity and benefits.
Company Overview
Company H1B Sponsorship