Vital Bio

Senior Application Engineer, Rust

Vital Bio

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Job Level

Senior

Tech Stack

AWSCloudCyber SecurityDockerGoogle Cloud PlatformKubernetesLinuxRust

About the role

  • Develop robust applications in Rust for real-time medical devices running on embedded Linux.
  • Implement and optimize algorithms for data processing in regulated healthcare environments.
  • Ensure seamless integration between software and hardware components as well as cloud backend services.
  • Work closely with our science team to translate requirements into tailored software solutions.
  • Collaborate with systems and hardware engineers to integrate software with embedded systems.
  • Ensure all software adheres to medical device regulations (e.g., FDA, ISO 13485).
  • Drive the adoption of best practices in software engineering, including automated testing, CI/CD pipelines, and robust version control strategies.
  • Provide technical guidance to junior engineers and lead initiatives to drive continuous improvement.
  • Stay at the forefront of advancements in Rust programming, embedded systems, and medical device development.
  • Contribute to the validation, documentation, and testing processes to align with internal quality systems.

Requirements

  • Strong proficiency in Rust programming with experience developing production-grade applications.
  • Expertise in embedded Linux systems and development tools.
  • Familiarity with interfacing with firmware components and on board peripherals.
  • Proven experience in regulated industries such as medical devices or biotechnology.
  • Experience with cloud platforms like AWS or GCP for scalable data storage and analysis.
  • Knowledge of workflow management tools and containerization technologies (e.g., Docker, Kubernetes).
  • Strong problem-solving skills with a focus on building compliant and efficient solutions.
  • Familiarity with medical device standards like IEC 62304 or FDA regulations.
  • Experience optimizing bioinformatics algorithms for real-time applications.
  • Knowledge of cybersecurity best practices for protecting sensitive patient data.
  • Background in machine learning or data analytics within healthcare settings.