Senior Software Engineer

About The Position

We are looking for a highly skilled senior software engineer to join our team and work on developing Foretify Manager: a product used to verify autonomous vehicles and driver assistance systems.

The ideal candidate will have extensive experience in software development, with a focus on back-end development. In this position you will work closely with other developers, field application engineers, and other stakeholders to design and implement new features, improve existing functionality, and ensure the quality and scalability of the software.

What will you do:

Work closely with your team and other R&D members to identify, define and analyse software challenges, and to design and implement solutions.
Work fully hands-on in coding, debugging, testing.
Take part in the development of a web-based architecture.
Tackle and resolve algorithmic software challenges.
Tackle and resolve performance and scaling challenges.
Take part in technical meetings with colleagues, partners and customers; participate in demos for (potential) partners and customers.
Support other team-members, and junior engineers - in particular.
Learn new domains, tools and languages.

About Foretellix

Foretellix is the gold standard for data-driven autonomy development toolchains. Foretellix’s Foretify™ toolchain enables a measurable, efficient, and trusted path to safe and scalable autonomy that helps you launch with confidence. Building on its industry leading V&V technology, Foretellix is enabling the AI autonomy revolution.

Requirements
A Software Engineer with at least 7 years of experience in object-oriented software development and programming.
Proficiency in developing large software using Java / Kotlin / C++.
B.Sc. in Computer-Science /Engineering with high scores, or an equivalent combination of education and experience.
Highly skilled in software architecture and algorithm development.
Self-learner, highly motivated, self-paced.

Advantages:

M.Sc. or above in Computer-Science.
Experience with AWS services.
Knowledge & experience in SQL and NoSQL databases.
Knowledge & experience in working with Elasticsearch and ELK stack.