Software Engineer - Validation

Applied Intuition is at the forefront of automotive software validation, delivering AI-powered solutions that are reshaping how autonomous vehicles are developed and tested. As a Software Engineer in our validation team, you'll be working on cutting-edge products that help automotive companies accelerate their time to market.

The role offers a unique opportunity to work across all aspects of validation, from systems traceability to ML-based failure finding. You'll be building and deploying software used across various deployment types (cloud, hybrid, on-prem), while working directly with both external customers and internal teams.

What makes this role exciting is the combination of technical depth and direct impact. You'll be designing and scaling data systems to handle millions of simulation data points, building features for test case orchestration and safety case management, and enabling customers to measure coverage of their autonomous systems using machine learning techniques.

The company culture encourages ownership over technical and product decisions, with engineers having the freedom to shape the direction of products based on direct user feedback. You'll be joining a thoughtful, dynamic team that values innovation and customer success.

Applied Intuition serves multiple industries including automotive, trucking, construction, mining, agriculture, and defense, providing plenty of opportunities to work on diverse and challenging problems. With offices across the globe and a strong focus on in-person collaboration, you'll be part of a team that's making a real impact on the future of autonomous vehicles.

The compensation package is comprehensive, including competitive base salary, equity options, full benefits coverage, 401k with employer match, and various stipends for learning and wellness. If you're passionate about building scalable systems and want to be at the forefront of autonomous vehicle validation, this role offers the perfect blend of technical challenges and real-world impact.