Hoffmann-La Roche-posted 3 months ago
$162,600 - $302,000/Yr
Senior
Santa Clara, CA
5,001-10,000 employees
Chemical Manufacturing

Roche Sequencing is developing ground-breaking next-generation sequencing products that allow scientists/clinicians powerful new avenues to investigate DNA, the blueprint of any lifeforms, in days, giving them the ability to understand health conditions such as cancer, HIV, COVID19 and more! We are not only changing science but changing lives through the development of frontier technologies that accelerate personalized healthcare. We are looking for a Principal GPU Software Engineer to develop GPU-accelerated software targeted for real-time primary analysis on a DNA sequencing instrument.

  • Work closely with research and algorithm experts, accelerating bioinformatics techniques using GPU hardware
  • Proficient in developing GPU-accelerated software in C/C++, with familiarity in Python for signal processing numerical analytics
  • Support software development lifecycle and Design Control process, working closely with team members to continuously improve quality and feature sets of the software products, based on technical design and requirements specifications
  • Produce well documented software along with test and validation to build high quality output
  • Establish best practices for software development methodologies and standards to ensure the highest quality of the software product delivered to users
  • Proactively work with engineering and research teams to ensure all technical aspects of software development are accurately communicated to all stakeholders
  • Bachelor's degree in Computer Science, Computer Engineering or related field plus 10 years of direct related experience; Master/PhD is a plus
  • Experience with Object-oriented programming in C++ and experience with GPU-accelerated C/C++ libraries such as CUDA, Thrust, etc.
  • Experience with recent C++ compiler standards (C++14/17) as well as algorithm frameworks (boost, thrust, TBB, etc.)
  • Experience in writing, debugging and optimizing parallel (CPU and GPU) Linux applications
  • Experience in utilizing popular ML frameworks such as TensorFlow or PyTorch to develop and deploy machine learning models for predictive analytics and classification tasks
  • Proven technical leadership skills to implement and integrate new technologies along with best practices
  • Working knowledge of QSR/cGMP, ISO and Design Controls
  • Experience with Python and digital signal processing
  • Discretionary annual bonus may be available based on individual and Company performance
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service