GPU Software Engineer

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Roche Sequencing is developing ground-breaking next-generation sequencing products that allow scientists/clinicians powerful new avenues to investigate DNA, the blueprint of any lifeform. We develop a proprietary system that generates data at tremendous rates, a big challenge for existing technologies for data processing. As we push the boundaries in DNA sequencing technology to make genetic information universally available through massively parallel DNA sequencing, we need you!

The Opportunity:

We are looking for a GPU and Deep Learning Software Engineer to develop GPU-accelerated software utilizing our proprietary models targeted for real-time analysis on our DNA sequencing instrument. The ideal candidate should have significant experience with GPU programming, an in-depth understanding of the architecture and performance characteristics of modern GPUs, together with a good understanding of neural network modeling and their implementation at a low level. We are also looking for candidates with the drive and capability to expand their knowledge as needed in the above areas.

Responsibilities include:

• Develop GPU-accelerated software targeted for real-time analysis on a DNA sequencing instrument.

• Implement neural network algorithms on GPU, optimized for our unique characteristics of very high throughput and model types.

• Be proficient in C++ and CUDA, and have familiarity in python for modeling-related tasks.

• Self-motivation to individually research and design solutions for complex technical problems.

• Author dependable, readable, maintainable and well-structured code, and encourages best practices with the team.

When you join us, you will have meaningful work developing an innovative technology that saves and improves lives around the world by making a huge difference in disease diagnostics! Our team is collaborative and fast-paced. And, we offer a competitive salary with a rich benefits package.

Who you are:

• BS in Computer Science, Computer Engineering, or related field plus 5 years of direct related experience; MS/PhD is a plus. Or, a combination of education and experience to perform at this level.

• Object-oriented programming in C++ and experience with GPU-accelerated C/C++ libraries such as CUDA, cuDNN, or Thrust.

• Advanced experience in systems programming, specifically writing, debugging, and optimizing parallel (CPU and GPU) Linux applications.

• Good understanding of machine learning, particularly neural networks.

• Experience with a deep learning framework, such as PyTorch, JAX or TensorFlow, and how models are represented and transferred for efficient inference on GPUs.

• Experience training models is an advantage.

• Basic experience with Python.

• Ability to multitask and work with little direction in a collaborative fast paced environment.

• Strong problem-solving skills and ability to track software issues to successful resolution.

• Demonstrated skills to implement and integrate new technologies along with best practices.

• Excellent oral and written communication skills, and interpersonal communication skills with internal and external partners.

Our ideal candidate would reside within the Bay Area, California, however, we would consider a remote working arrangement for the right candidate.

The expected salary range for this position based on the primary location of Santa Clara, CA is $94,500- $227,200.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  A discretionary annual bonus may be available based on individual and Company performance.  

This position also qualifies for the benefits detailed at the link provided below.

Benefits

Relocation benefits are not available for this position.

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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