Senior Software Development Engineer - Statistics and Machine learning

Job Summary:

Altair is leading the global convergence evolution toward smart, connected everything by delivering ground-breaking solutions in data analytics, simulation, high-performance computing, and smart connected products (IoT).

You will find a different culture at Altair in the way we work, how we interact and the collaborative approach we bring to projects. We pride ourselves on a business culture that enables open, creative thinking, and we deeply value our employees and their contributions towards our clients' success, as well as our own. Your ideas are heard, your efforts are visible and your work impacts company growth. Communication is open and teamwork is encouraged.

What You Will Do:

Work within the development team to extend and expand upon the extensive statistical, timeseries and machine learning capabilities of the WPS software product.

Performance Areas

Research existing and emerging approaches for the purpose of data science through the reading and understanding of academic papers and books

Transfer that understanding into robust, scalable C++ coded models

Producing syntax and framework code from which a user of the WPS system can easily invoke, train and score the models

Support the wider product team regarding numerical and statistical questions that arise within the business and from customers

Work with the technical authoring team to aid their production of technical content

Work with data scientists to understand and gather requirements as they arise

Work across various teams to develop new ideas to solve complex business problems

What You Will Need:

Qualifications:

Bachelor’s degree in mathematics, physics, computer science or other numerical technical discipline

Experience:

A minimum of 4 years of experience writing high quality C++ code for enterprise applications Understanding higher level mathematical and statistical research papers and then implementing those algorithms or methods in code in a robust and scalable manner Logical problem-solving approach and the ability to clearly communicate the situation and proposed solution to the wider team Familiarity with statistical, econometric timeseries. machine learning or other mathematical algorithms and their uses

Preferred Requirements:

Masters or PhD degree in a mathematical discipline A minimum of 6 years of experience in a software engineering or research environment is a plus Cross-platform development experience Experience with other programming languages in the data analytics and numerical space (Matlab/R/Python/SAS language)

Soft Skills :

Highly self-motivated to learn Commercial awareness & attention to detail Logical problem-solving skills, ability to demonstrate solutions coherently Excellent interpersonal and teamworking skills Good oral and written communication skills in fluent English Self-motivation and strong organizational skills

How You Will Be Successful:

Envision the Future

Communicate Honestly and Broadly 

Seek Technology and Business “Firsts” 

Embrace Diversity and Take Risks

Why Work With Us:

Altair is a global technology company providing software and cloud solutions in the areas of product development, high performance computing (HPC) and data analytics. Altair enables organizations in nearly every industry to compete more effectively in a connected world, while creating a more sustainable future. With more than 3,000 engineers, scientists and creative thinkers in 25 countries, we help solve our customer’s toughest challenges and deliver unparalleled service, helping the innovators innovate, drive better decisions, and turn today’s problems into tomorrow’s opportunities.

For more than 30 years, we have been helping our customers integrate electronics and controls with mechanical design to expand product value, develop AI, simulation and data-driven digital twins to drive better decisions, and deliver advanced HPC and cloud solutions to support unlimited idea exploration.

To learn more, please visit altair.com.Ready to go? #ONLYFORWARD