NVIDIA is revolutionizing healthcare by leveraging the power of GPU computing and AI to transform data analysis in areas such as drug discovery and DNA sequencing. We are looking for enthusiastic and dedicated individuals to help us bring personalized medicine to mainstream healthcare. As a healthcare (dev-opts) software engineer, you will join a dynamic engineering team focused on bioinformatics algorithm development and collaborating with industry and academic partners. You will have the opportunity to design, implement, and maintain the infrastructure and tools that enable fast, secure, and reliable high-performance computing software delivery for a wide range of biology applications used worldwide. You’ll work at the intersection of software development and operations to ensure our systems are scalable, automated, and robust.

What You'll Be Doing

Design, build, and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI.
Work closely with developers to containerize applications using Docker, Singularity and Podman
Collaborate with the team to containerize applications and manage their lifecycle through Kubernetes.
Integrate automated documentation workflows into CI pipelines using Sphinx, ensuring up-to-date technical documentation for internal and external consumers.
Automate repetitive tasks and streamline operational workflows.
Ensure system and data security through best practices in secrets management, network policies, and access control.

What We Need To See

Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field; advanced degrees are a plus.
5+ years in a DevOps, SRE, or Infrastructure Engineering role.
Proficiency with cloud platforms (e.g., AWS, GCP, or Azure).
Strong experience with Linux systems administration.
Solid scripting/programming skills (e.g., Bash, Python, or Go).
Hands-on experience with Docker and container orchestration (Kubernetes preferred).
Knowledge of modern CI/CD pipelines and DevOps tools.
Strong communication and teamwork skills, with a dedication to inclusion and collaboration.

Ways To Stand Out From The Crowd

Solid understanding of C/C++, CUDA, data structure, altorighm, software design, and programming techniques.
Deep learning experience in using, LLM, Graph Neural Network, Graph Transformer Network.
Strong collaborative and interpersonal skills to effectively guide and influence within a multifaceted, technical environment.
Self-motivation to automate repetitive tasks, streamline workflows, and reduce friction for others across the engineering team.

The base salary range is 148,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits . _NVIDIA accepts applications on an ongoing basis.

_NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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