NVIDIA is seeking talented and innovative professionals to join its team as an AI/FSI DevTech Engineer. This is an exciting opportunity to work with one of the world’s leading technology companies driving advancements in artificial intelligence, accelerated computing, and enterprise solutions. Candidates will collaborate with industry-leading experts, develop cutting-edge AI technologies, and contribute to transformative projects that impact global industries. If you are passionate about AI, software development, and financial services innovation, this role offers exceptional career growth and competitive compensation.
Job Overview
| Field | Details |
|---|---|
| Company Name | NVIDIA |
| Role | AI and FSI Developer Technology Engineer – New College Grad 2026 |
| Qualification | Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, AI, Data Science, or related field |
| Job Location | New York, NY & Santa Clara, CA, USA |
| Salary | Starting from $124,000+ per year (may vary based on experience and location) |
| Work Type | Hybrid / Onsite |
| Job Type | Full-Time |
| Job Level | Entry Level |
| Industry | Artificial Intelligence, Semiconductor Technology, Software Development |
Job Description
We’re looking for an AI Developer Technology Engineer to push the limits of performance at the intersection of AI, high-performance computing, and financial markets. In this role, you’ll dive deep into parallel algorithms, GPUs, and complex systems to identify and eliminate bottlenecks, unlocking the full power of the world’s most advanced processing hardware. You’ll collaborate with top experts across industry and academia, influence next-generation platforms, and share your insights with the global developer community. Would you enjoy solving hard technical problems, love performance tuning, and want your work to have a visible impact across an entire industry? If so, we would love to invite you to consider this role!
What you will be doing:
- Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
- Working with leading technical experts to analyze, optimize, and scale complex 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 educate and inspire the broader developer community.
- Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.
What we need to see:
- Pursuing or recently completed a Master’s or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
- Relevant work or research experience.
- Experience with low-level parallel programming (e.g., CUDA).
- Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
- Fluency 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 linear algebra.
- Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.
Ways to stand out from the crowd:
- Prior internship experience in a related 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 Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.
Selection Process
- Application Submission
- Resume Screening
- Recruiter Discussion
- Technical Assessment
- Technical Interview Rounds
- Hiring Manager Interview
- Final Evaluation
- Offer Discussion & Background Verification
How to Apply
- Visit NVIDIA Careers Portal
- Search for “AI/FSI DevTech Engineer”
- Review the job description and eligibility criteria
- Prepare an updated resume highlighting relevant AI and software development experience
- Complete the online application form
- Upload your resume and supporting documents
- Submit your application
- Monitor your email for further communication from the recruitment team
