Offer summary
Qualifications:
Experience in numerical computing, Proficiency in C++, Python, CUDA.Key responsabilities:
- Work on modern numerical computing
- Contribute to open-source projects
Quansight has its roots in the Python data science community. Our founders have had significant involvement in creating and maintaining NumPy, SciPy, Jupyter, Spyder, Dask, Conda, Numba, and other projects, as well as PyData NumFOCUS, and Anaconda. Our mission is to connect companies to open-source communities to create sustainable solutions that benefit the whole ecosystem.
We accomplish this mission by providing various services ranging from open-source software development to training and consulting. We believe in a culture of do-ers, learners, and collaborators. We are looking for people who are motivated, humble, curious, and respectful of others.
We are looking for an enthusiastic and highly motivated software engineer with experience and interest in numerical and high-performance computing to join our Quansight team.
What you’ll do
Have you noticed Python’s explosion in data science and machine learning and tools like PyTorch, NumPy, Numba, and Dask? Would you like to help support this community and build out the future of the open source Python computing ecosystem?
In this position, you’ll get to:
Prior experience with particular packages like PyTorch or NumPy is nice to have but certainly not required. If you have expertise in languages like C++, Python, and CUDA and can find your way around large code bases, we expect you can learn about any new library or project quickly. We also highly value good communication skills. Knowledge of deep learning is of benefit. We aim to help you grow within Quansight and within the Python open source community.
You'll become essential to a small, collaborative, fully distributed accessibility and engineering team. We strive to provide a working environment that gives you room to learn and grow.
Quansight draws from experience in many large open-source communities over the years. Because these communities operate remotely and strive to be as inclusive and participatory as possible, they must also strive to be more transparent and systematic in communicating, sharing information, and working. We are building a culture at Quansight that follows and builds upon these principles.
We offer flexibility in work times and locations, and vacation time is not just encouraged but celebrated and enforced.
We offer competitive compensation, a comprehensive sick policy and parental leave, and a generous amount of flexible paid time off. If you are located in the United States, Canada, Germany or the UK we also offer a comprehensive benefits package.
Our engineering team is entirely remote. Our headquarters are in Austin, Texas, and a good portion of our team is U.S. based. We also have a significant presence in Europe, South America, and Asia. We will consider applicants anywhere (overlap with U.S. and Europe time zones is preferred).
Quansight understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions.
We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Quansight will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.
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