Role Description Research Computing advances scientific discovery by providing researchers computational tools to accelerate their research outcomes. We support computationally enabled science by providing researchers access to computational building blocks (e.g., HPC, Machine Learning environments, Data Management Tools, etc.). We also provide services, expertise, and support to researchers to optimize their use of our capabilities (e.g., HPC & Machine Learning Consulting, and machine Learning workflow management, etc.), all while fostering a culture of computing through interdisciplinary collaboration and access to computational resources. We are seeking an HPC Software engineer to join project teams building HPC and AI/ML solutions to support a broad variety of scientific domains. The scope of work will be diverse and will include: - Joining existing project teams across the research directorates. - Engaging and understanding their domain and project needs. - Designing, building, and implementing applications and pipelines to support their various needs. - Implementing broadly applicable operational solutions to support ranges of projects and domains, including pipelines, automation, containerization, and various technologies and platforms. - Joining existing research efforts and developing software and algorithms to support the project research focus. - Helping domain scientists leverage various ML techniques. You must understand and have experience in a mix of technologies such as Python, C, PyTorch, and OpenMPI. Experience with HPC system engineering is required. For aspects of the work, experience and interest in Machine Learning workflows and large language models will be an advantage. Additionally, it would be advantageous to have experience in other scientific or engineering domains and mathematics. Initially, you will join existing project teams, and as such, you will be expected to operate within specific guidelines and coding standards. As a level 3, you will be increasingly responsible for building your own opportunities within PNNL, leading other team members in developing technical solutions, and developing opportunities for other staff to follow. Additionally, you are expected to mentor others and lead tasks on projects. Qualifications - PhD and 1 year of Software Engineering experience -OR- - MS/MA and 3 years of Software Engineering experience -OR- - BS/BA and 5 years of Software Engineering experience -OR- - AA and 14 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development -OR- - HS/GED and 16 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development. - Experience with HPC software builders, such as Spack. - Knowledge of and experience supporting Slurm. - Experience participating in working with scientists and engineers of various scientific domains and being able to bridge between the various domains and computer and data science. - Experience working with project teams, especially including domain scientists, understanding scientific realms, and applying computer science and mathematical principles in support of the scientific mission of the project. - Experience with building large language models to support research. Requirements - Experience with HPC system engineering. - Understanding of Python, C, PyTorch, and OpenMPI. - Experience and interest in Machine Learning workflows and large language models. Benefits - Medical insurance. - Dental insurance. - Vision insurance. - Robust telehealth care options. - Several mental health benefits. - Free wellness coaching. - Health savings account. - Flexible spending accounts. - Basic life insurance. - Disability insurance. - Employee assistance program. - Business travel insurance. - Tuition assistance. - Relocation assistance. - Backup childcare. - Legal benefits. - Supplemental parental bonding leave. - Surrogacy and adoption assistance. - Fertility support. - Company-funded pension plan. - 401(k) savings plan with company match. - Up to 120 vacation hours per year. - Ten paid holidays per year.

• Demonstrate a solid understanding of the Menu team's domain and technology stack, contributing to discussions and development decisions with growing independence. • Handle small-to-medium features independently and begin taking ownership of moderately complex tasks with some guidance. • Write clean, maintainable code and actively participate in peer code reviews, providing constructive feedback and adhering to coding standards. • Collaborate closely with Product to refine requirements, helping to shape solutions that meet business needs effectively. • Focus on delivering high-quality software solutions within established timelines, emphasising best practices in software development. • Engage in troubleshooting and debugging efforts, showing an ability to resolve common and moderately complex issues with minimal support. • Assist in the deployment and monitoring of services, learning how to manage and troubleshoot issues in production environments. • Contribute to building and maintaining reliable distributed systems, implementing resilience mechanisms as appropriate. • Participate actively in team ceremonies and demonstrate initiative by taking ownership of tasks and helping to unblock others when possible. • Engage in continuous learning and self-improvement by exploring new technologies and best practices relevant to the team's work. • Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. • Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. • Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise.

• Lead back-end architecture and development for a modern healthcare platform using NestJS and TypeScript • Partner with Product and Design to translate business requirements into scalable technical solutions • Make thoughtful architecture and system design decisions for a greenfield product environment • Contribute hands-on across the stack, including React and React Native applications as needed • Drive engineering best practices around code quality, testing, documentation, observability, and performance • Conduct code reviews, mentor engineers and contractors, and provide technical guidance across the team • Help identify and resolve technical blockers while improving team delivery velocity and collaboration • Support and maintain portions of our legacy Django/Postgres platform as needed • Collaborate closely with Product Managers, Designers, QA, and Engineering leadership to deliver high-quality features • Act as a technical anchor for the team, helping prioritize work and align technical decisions with business goals • Partner with offshore and contractor teams to support delivery and maintain engineering standards • Contribute to process improvements across SDLC, AIDLC, release management, and engineering operations

• Design scalable, maintainable, and secure service architectures. • Identify opportunities for platform-wide improvements, new service development, and reduction of technical debt. • Contribute to long-term platform vision and help shape standards for engineering excellence. • Build backend services using C# and TypeScript for web and background worker applications. • Work with both SQL and NoSQL databases; PostgreSQL expertise preferred. • Design, containerize, and deploy services with Docker and Kubernetes. • Build and optimize cloud infrastructure using AWS or similar platforms. • Implement and maintain CI/CD pipelines, Git workflows, and Infrastructure as Code. • Apply security best practices across applications and infrastructure (secure coding, vulnerability assessments, secrets management). • Ensure reliability and scalability through test automation, performance profiling, and optimization. • Integrate and manage third-party APIs with robust monitoring and management practices. • Explore and implement AI/ML-driven features or integrations into applications. • Act as a technical mentor, multiplying team impact by elevating skills and practices of peers and junior engineers. • Collaborate with Product Managers, other Staff Engineers, and cross-functional teams to define requirements, scope projects, and deliver platform solutions. • Work closely with stakeholders to debug, troubleshoot, and resolve complex backend issues across the stack. • Contribute to engineering culture by modeling ownership, accountability, and a growth mindset. • Stay current on emerging technologies in distributed systems, cloud infrastructure, and secure software practices. • Share learnings and elevate engineering standards across teams. • Continuously improve system performance, scalability, and developer experience. • Identify and advocate for adoption of new technologies that create leverage for the business.