Position at Wind River
In a world increasingly driven by software innovation, Wind River is pioneering the technologies to accelerate the digital transformation of our customers with a new generation of Mission Critical AI Systems in an AI-first world with the most exacting standards for safety, security, performance, and reliability.
Success will be determined by our ability to innovate with velocity and sell at the solutions level.
About the opportunity
Wind River Systems is seeking an experienced high-performing senior software engineer for a position developing a hybrid cloud-based data analytics, machine learning and artificial intelligence platform.
The successful candidate will join a highly skilled development team delivering internal and external tools and technologies across a complete analytics driven DevSecOps platform, pioneering many new industry leading capabilities.
This is a data science all-rounder role. The core purpose of the role is to build models to improve the product, the customer experience and ultimately the business.
Interface & Collaboration
The successful candidate will collaborate with development and customer facing teams to ensure high levels of intuitive usability and product quality.
Conceive, devise, create, implement and fine tune data science models to solve a range of development and systems problems
Help devise and layout a high-quality infrastructure, upon which future data science can flourish
Help up skill other analytical team members into advanced data science techniques
Produce ad hoc analyses
And let's be honest, a whole load of data wrangling!
Deliver cloud analytics solutions across a wide portfolio of class-leading products, in many industry verticals.
Extract data from development tools like Gitlab, Jenkins, JIRA, and many more.
Extracting data from real devices in the labs and the real world planes, trains and automobiles.
Develop new user interfaces and reporting options for these tools.
Ensure security of all data.
Core Competencies, Demonstrated Success & Qualifications
BSc / MSc degree (Computer Science, Computer / Electrical Engineering, or equivalent technical degree).
Blend of technical expertise and soft skills including business acumen, decision making, well developed oral and written communication skills
Demonstrable skills in SQL, Python and R
Data science models (K-means, random Forrest, neural nets, etc.)
Strong foundational knowledge in stats and mathematics
Experience in converting data models into product for real customers
Experience with Nifi / Kafka / Postgres / Hadoop
Experience with Linux development
Knows what an RTOS is
Experience in autonomous systems development a bonus
3+ years of experience of big data analytics
6+ years working in software development arena