Lead Software Engineer - High Performance Computing
Lead Software Engineer - High Performance Computing
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$ 152000 - 215000
1 Vacancy
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorganChase within the AI Acceleration team youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s)
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Advanced understanding of High-Performance Computing system architectures and network topologies
- Expertise in at least one accelerator type (e.g. GPU FPGA) and experience mapping LLMs onto these accelerators
- Proficiency parallel programming and performance analysis of accelerator-based systems
- Strong programming skills in Python scripting C C with experience in AI/ML frameworks like PyTorch and LangChain
- Masters Degree in Computer Science
- 3 years of experience in high-performance computing software
- 3 years of experience with accelerators and deep learning particularly large language models
- Experience in large organizations and regulated industries is a plus
- Excellent communication skills and the ability to work collaboratively in a dynamic team environment
- Familiarity with HPC software (e.g. NCCL MPI) and resource schedulers (e.g. Kubernetes SLURM)
Employment Type
Full-Time
