Provide technical leadership and support for banking platforms. API development and collaboration with technology teams.
About the role
- Software Engineer at NVIDIA designing and operating exascale infrastructure for AI/ML systems. Collaborating with engineers and researchers to enhance AI research capabilities with cutting-edge technology.
Responsibilities
- Design, develop, and operate distributed systems that manage data, compute, and networking for large-scale AI workloads.
- Build software and automation to orchestrate workloads across thousands of GPUs and petabytes of storage in multi-region clusters.
- Collaborate with AI/ML research teams to understand their requirements and translate them into scalable, high-performance solutions.
- Drive improvements in system reliability, performance, and observability to meet exascale standards.
- Partner with security, networking, and platform teams to ensure that MARS infrastructure meets the highest standards of robustness and compliance.
- Participate in design reviews, contribute to system architecture discussions, and influence the evolution of NVIDIA’s AI infrastructure stack.
- Stay current with advances in distributed systems, large-scale computing, and AI frameworks to help shape the future direction of MARS.
Requirements
- BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
- 8+ years of experience developing and operating large-scale distributed systems, infrastructure platforms, or HPC environments.
- Strong programming skills in C++, Python, or Go, with proven experience designing production-quality software systems.
- Solid understanding of distributed systems principles, data management, and large-scale orchestration frameworks.
- Hands-on experience with high-performance storage (e.g., Lustre, GPFS, BeeGFS) and compute scheduling and orchestration (e.g., Slurm, Kubernetes, LSF).
- Familiarity with cloud environments (Azure, AWS, GCP) and infrastructure automation tools.
- Strong problem-solving skills, ownership mindset, and the ability to thrive in a fast-paced, collaborative environment.
- Excellent communication skills and a track record of cross-functional collaboration.
Benefits
- Equity
- Benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Backend Developer developing and maintaining scalable backend systems for the GRÜN Software Group. Collaborating with teams to ensure quality, stability, and efficient data flows.
Senior Fullstack Developer enhancing Java and Vue.js applications at INTERSPORT Deutschland e.G. involving modern web applications and agile team collaboration.
Software Engineer Lead responsible for technical design and development of software solutions at PNC. Leading Java/Spring/Microservices projects while supporting team growth and product delivery.
Full Stack Developer working on a live cloud - native resource planning product. Collaborating with a focused team to enhance airport performance and passenger experience in aviation.
Backend Developer at GRÜN Software Group developing scalable and secure backend systems. Collaborating closely with frontend developers and participating in architecture decisions.
Senior Java Backend Developer with Retirement Engineering group delivering efficient solutions. The role involves modernizing legacy code and developing scalable programs to meet customer needs.
Backend Engineer at Genestack tackling bioinformatics challenges and working on high - load systems. Driving technical solutions and collaborating with engineers in a significant scientific domain.
Digital Analytics Analyst leveraging Python and data analysis to enhance digital marketing strategies in the financial services sector. Collaborating with cross - functional teams to improve customer interactions and drive sales growth.
Senior Java Fullstack Developer leading applications systems analysis and programming activities at Citi. Partnering with management teams to integrate functions and resolve high impact problems.