DescriptionIf you are looking for a game-changing career working for one of the worlds leading financial institutions youve come to the right place.
As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team you provide expertise and engineering excellence as an integral part of an agile team to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firms portfolios. You will lead virtual and direct teams of developers teaching them best practices in high-performance computing (HPC) practices that intersect with AI/ you are collaborativeespecially since you will work closely with cross-functional teams comprised of data scientists business analysts and other engineers. You will infuse the JPMorgan developer community with an appreciation of the impact that HPC can have by delivering software that consistently outperforms other platforms. You will deliver a variety of options to serve our various business needs--sometimes driven by low-latency; other times driven by throughput or low power.
Job responsibilities
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code and reviews and debugs code written by others
- Advises cross-functional teams on technological matters within your domain of expertise
- Serves as the functionstechnical go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across product data science and technology teams
- Champions the firms culture of diversity opportunity inclusion and respect
- Using telemetry create measurable frameworks for deciding amongst hardware and software options
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
- Support developer community in learning lessons from high-performance computing (HPC) domain
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 7 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. LLMs High-performance computing (HPC) etc.)
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
- Ability to present and effectively communicate with Senior Leaders and Executives
- Masters Degree in Computer Science
- 8 years of experience in high-performance computing software
- 5 years of experience with at least one type of accelerator
- 3 years of experience in deep learning particularly large language models
- Deep familiarity with HPC software (e.g. NCCL MPI) and resource schedulers (e.g. Kubernetes SLURM)
- Strong programming skills in Python scripting C C with experience in AI/ML frameworks like PyTorch and LangChain
Preferred qualifications capabilities and skills
- PhD preferred (Computer Science Computer Engineering Mathematics or related discipline).
- Practical cloud native experience
- Experience in large organizations and regulated industries is a plus
- Hands-on experience with CUDA for GPU programming and performance optimization preferred.
- Excellent communication skills and the ability to work collaboratively in a dynamic team environment
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
- Experience in highperformance computing within national labs or academic research environments including largescale distributed systems and acceleratorbased workloads.
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorgan Chases review of criminal conviction history including pretrial diversions or program entries.
Required Experience:
Staff IC
DescriptionIf you are looking for a game-changing career working for one of the worlds leading financial institutions youve come to the right place.As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team you provide expertise and engineering excellence as an int...
DescriptionIf you are looking for a game-changing career working for one of the worlds leading financial institutions youve come to the right place.
As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team you provide expertise and engineering excellence as an integral part of an agile team to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firms portfolios. You will lead virtual and direct teams of developers teaching them best practices in high-performance computing (HPC) practices that intersect with AI/ you are collaborativeespecially since you will work closely with cross-functional teams comprised of data scientists business analysts and other engineers. You will infuse the JPMorgan developer community with an appreciation of the impact that HPC can have by delivering software that consistently outperforms other platforms. You will deliver a variety of options to serve our various business needs--sometimes driven by low-latency; other times driven by throughput or low power.
Job responsibilities
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code and reviews and debugs code written by others
- Advises cross-functional teams on technological matters within your domain of expertise
- Serves as the functionstechnical go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across product data science and technology teams
- Champions the firms culture of diversity opportunity inclusion and respect
- Using telemetry create measurable frameworks for deciding amongst hardware and software options
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
- Support developer community in learning lessons from high-performance computing (HPC) domain
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 7 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. LLMs High-performance computing (HPC) etc.)
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
- Ability to present and effectively communicate with Senior Leaders and Executives
- Masters Degree in Computer Science
- 8 years of experience in high-performance computing software
- 5 years of experience with at least one type of accelerator
- 3 years of experience in deep learning particularly large language models
- Deep familiarity with HPC software (e.g. NCCL MPI) and resource schedulers (e.g. Kubernetes SLURM)
- Strong programming skills in Python scripting C C with experience in AI/ML frameworks like PyTorch and LangChain
Preferred qualifications capabilities and skills
- PhD preferred (Computer Science Computer Engineering Mathematics or related discipline).
- Practical cloud native experience
- Experience in large organizations and regulated industries is a plus
- Hands-on experience with CUDA for GPU programming and performance optimization preferred.
- Excellent communication skills and the ability to work collaboratively in a dynamic team environment
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
- Experience in highperformance computing within national labs or academic research environments including largescale distributed systems and acceleratorbased workloads.
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorgan Chases review of criminal conviction history including pretrial diversions or program entries.
Required Experience:
Staff IC
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